HTML 77.2%
TypeScript 10.5%
Python 9.6%
JavaScript 2.5%
12<!DOCTYPE HTML>3<html class="html-page no-js" xmlns="http://www.w3.org/1999/xhtml" lang="en-us" xml:lang="en-us">4 <head>5 6 789<link rel="preconnect" href="https://images.nvidia.com" crossorigin/>101112 <link rel="preload" href="https://images.nvidia.com/etc/designs/nvidiaGDC/clientlibs_base/fonts/nvidia-sans/NALA/var/NVIDIASansVF_NALA_W_Wght.woff2" as="font" type="font/woff2" crossorigin/> 1314151617181920212223 242526272829<meta http-equiv="X-UA-Compatible" content="IE=edge"/>30<meta name="robots" content="NOODP,NOYDIR"/> 31<meta name="viewport" content="width=device-width, initial-scale=1"/>32<meta http-equiv="content-type" content="text/html; charset=UTF-8"/>33<meta name="keywords" content="H100 GPU, AI, NVIDIA, Technologies, Data center, Multi-Instance GPU, NVIDIA Accelerated Confidential Computing"/>34<meta name="description" content="NVIDIA H100 GPU securely accelerates workloads from Enterprise to Exascale HPC and Trillion Parameter AI."/>35<meta name="nv-pub-date" content="2026-07-01T07:35:06.000Z"/>36<meta name="nv-cre-date" content="2024-02-14T11:18:48.000Z"/>37<meta name="nv-update-date" content="2026-07-01T07:35:06.000Z"/>38<meta name="nv-id" content="L2NvbnRlbnQvbnZpZGlhR0RDL3VzL2VuX1VTL2RhdGEtY2VudGVyL2gxMDA="/>3940<meta property="og:site_name" content="NVIDIA"/>41<meta property="og:type" content="Website"/>42<meta property="og:url" content="https://www.nvidia.com/en-us/data-center/h100/"/>43<meta property="og:title" content="NVIDIA H100 GPU"/>44<meta property="og:description" content="A Massive Leap in Accelerated Compute."/>4546 <meta property="og:image" content="https://www.nvidia.com/content/dam/en-zz/Solutions/gtcs22/data-center/h100/h100-og.jpg"/>4748495051<meta name="twitter:card" content="summary_large_image"/>52<meta name="twitter:site" content="@NVIDIA"/>53<meta name="twitter:creator" content="@NVIDIA"/>54<meta name="twitter:title" content="NVIDIA H100 GPU"/>55<meta name="twitter:url" content="https://www.nvidia.com/en-us/data-center/h100/"/>56<meta name="twitter:description" content="Tap into exceptional performance, scalability, and security for every workload with the NVIDIA H100 GPU. "/>5758 <meta name="twitter:image" content="https://www.nvidia.com/content/dam/en-zz/Solutions/gtcs22/data-center/h100/h100-og.jpg"/>59606162 <meta property="fb:app_id" content="1679326302390196"/>636465666768 697071<link rel="canonical" href="https://www.nvidia.com/en-us/data-center/h100/"/>72737475 <link rel="alternate" hreflang="en-gr" href="https://www.nvidia.com/en-eu/data-center/h100/"/>7677 <link rel="alternate" hreflang="pt-br" href="https://www.nvidia.com/pt-br/data-center/h100/"/>7879 <link rel="alternate" hreflang="en-pt" href="https://www.nvidia.com/en-eu/data-center/h100/"/>8081 <link rel="alternate" hreflang="es-mx" href="https://www.nvidia.com/es-la/data-center/h100/"/>8283 <link rel="alternate" hreflang="es-es" href="https://www.nvidia.com/es-es/data-center/h100/"/>8485 <link rel="alternate" hreflang="en-lt" href="https://www.nvidia.com/en-eu/data-center/h100/"/>8687 <link rel="alternate" hreflang="en-hu" href="https://www.nvidia.com/en-eu/data-center/h100/"/>8889 <link rel="alternate" hreflang="en-lv" href="https://www.nvidia.com/en-eu/data-center/h100/"/>9091 <link rel="alternate" hreflang="es-ar" href="https://www.nvidia.com/es-la/data-center/h100/"/>9293 <link rel="alternate" hreflang="en-ee" href="https://www.nvidia.com/en-eu/data-center/h100/"/>9495 <link rel="alternate" hreflang="ko-kr" href="https://www.nvidia.com/ko-kr/data-center/h100/"/>9697 <link rel="alternate" hreflang="en-us" href="https://www.nvidia.com/en-us/data-center/h100/"/>9899 <link rel="alternate" hreflang="en-in" href="https://www.nvidia.com/en-in/data-center/h100/"/>100101 <link rel="alternate" hreflang="en-il" href="https://www.nvidia.com/en-eu/data-center/h100/"/>102103 <link rel="alternate" hreflang="it-it" href="https://www.nvidia.com/it-it/data-center/h100/"/>104105 <link rel="alternate" hreflang="en-au" href="https://www.nvidia.com/en-au/data-center/h100/"/>106107 <link rel="alternate" hreflang="fr-fr" href="https://www.nvidia.com/fr-fr/data-center/h100/"/>108109 <link rel="alternate" hreflang="ja-jp" href="https://www.nvidia.com/ja-jp/data-center/h100/"/>110111 <link rel="alternate" hreflang="de-de" href="https://www.nvidia.com/de-de/data-center/h100/"/>112113 <link rel="alternate" hreflang="zh-tw" href="https://www.nvidia.com/zh-tw/data-center/h100/"/>114115 <link rel="alternate" hreflang="en-rs" href="https://www.nvidia.com/en-eu/data-center/h100/"/>116117 <link rel="alternate" hreflang="es-co" href="https://www.nvidia.com/es-la/data-center/h100/"/>118119 <link rel="alternate" hreflang="es-cl" href="https://www.nvidia.com/es-la/data-center/h100/"/>120121 <link rel="alternate" hreflang="es-pe" href="https://www.nvidia.com/es-la/data-center/h100/"/>122123 <link rel="alternate" hreflang="en-sg" href="https://www.nvidia.com/en-sg/data-center/h100/"/>124125 <link rel="alternate" hreflang="en-sk" href="https://www.nvidia.com/en-eu/data-center/h100/"/>126127 <link rel="alternate" hreflang="en-si" href="https://www.nvidia.com/en-eu/data-center/h100/"/>128129 <link rel="alternate" hreflang="en-gb" href="https://www.nvidia.com/en-gb/data-center/h100/"/>130131 <link rel="alternate" hreflang="en-ca" href="https://www.nvidia.com/en-us/data-center/h100/"/>132133 <link rel="alternate" hreflang="de" href="https://www.nvidia.com/de-de/data-center/h100/"/>134135 <link rel="alternate" hreflang="fr" href="https://www.nvidia.com/fr-fr/data-center/h100/"/>136137 <link rel="alternate" hreflang="en" href="https://www.nvidia.com/en-us/data-center/h100/"/>138139 <link rel="alternate" hreflang="x-default" href="https://www.nvidia.com/en-us/data-center/h100/"/>140141142143<link rel="alternate" type="text/markdown" title="NVIDIA H100 GPU" href="https://www.nvidia.com/en-us/data-center/h100.md"/>144145146147<script src="https://app.cdn.lookbookhq.com/libraries/overlay/overlay.js"></script>148<link href="https://app.cdn.lookbookhq.com/libraries/overlay/overlay.css" rel="stylesheet" type="text/css">149150151152153154155156157 158<script src="/etc.clientlibs/clientlibs/granite/jquery.min.cee8557e8779d371fe722bbcdd3b3eb7.js"></script>159<script src="/etc.clientlibs/clientlibs/granite/utils.min.4a192b590a2c2926fb000264370c0588.js"></script>160<script src="/etc.clientlibs/foundation/clientlibs/shared.min.e9d9a3990d7779c2e8e3361187f3d36b.js"></script>161<script src="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-webfoundation.min.efc0fdf7ab6cfd024ef52932bbdebd3a.js"></script>162163164165166167 168 <script type="text/javascript" src="https://cdn.cookielaw.org/scripttemplates/otSDKStub.js" charset="UTF-8" data-domain-script="3e2b62ff-7ae7-4ac5-87c8-d5949ecafff5" data-document-language="true"> 169 </script>170 <script>171 function OptanonWrapper() { 172 var event = new Event('bannerLoaded');173 window.dispatchEvent(event);174 }175 </script>176 177 <script type="text/javascript" src="https://images.nvidia.com/aem-dam/Solutions/ot-js/ot-custom.js"></script>178 179180181182183184185<script src="//assets.adobedtm.com/5d4962a43b79/96fada676f0e/launch-95431b44ee81.min.js" data-ot-ignore></script>186187188189 190 191192 193194 195 196197198199 200 201<link rel="stylesheet" href="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.4bc41d6211db48d6007515e960b1001b.css" type="text/css">202<link rel="stylesheet" href="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-base.min.8684b0f16f804cac8396aa31fdf033e6.css" type="text/css">203204205206 207208209210 211212213 214215216217 218<link rel="stylesheet" href="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-nvgdccart.min.d41d8cd98f00b204e9800998ecf8427e.css" type="text/css">219220221222223224225226227228229230231<script type="text/javascript">232233var NVIDIAGDC = NVIDIAGDC || {};234235;(function ( nvidiaGDC ){236 237238 nvidiaGDC.addProperty = function(obj, name, val){239 if (!obj && !name){240 return;241 }242 243 nvidiaGDC[obj] = nvidiaGDC[obj] || {};244 245 if(typeof val != "undefined" && val != null){246 if(!nvidiaGDC[obj].hasOwnProperty(name) || !nvidiaGDC[obj][name]){247 nvidiaGDC[obj][name] = val;248 } 249 }250 };251252253 nvidiaGDC.addProperty('Accounts', 'LoginPage', 'https://www.nvidia.com/en-us/account/');254 nvidiaGDC.addProperty('Accounts', 'LoginGatePage', 'https://www.nvidia.com/en-us/account/login-gate/');255 nvidiaGDC.addProperty('Accounts', 'accountsJarvisSrvcBase', 'https://accounts.nvgs.nvidia.com');256 nvidiaGDC.addProperty('Accounts', 'accountsJarvisHeaderMagicValue', '');257 nvidiaGDC.addProperty('Accounts', 'accountsJarvisHeaderCFGRefereID', 'Account Mini-Site');258 nvidiaGDC.addProperty('apps', 'endpoint', 'https://api-prod.nvidia.com');259 nvidiaGDC.addProperty('web', 'env', 'p-prod');260 nvidiaGDC.addProperty('web', 'q1', '');261 nvidiaGDC.addProperty('web', 'q2', '');262 nvidiaGDC.addProperty('web', 'q3', '');263 var genai="true";264 if(genai===""){265 genai="true";266 }267 nvidiaGDC.addProperty('ai', 'gen', genai);268269})(NVIDIAGDC);270</script>271272273274275276 277<script src="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-preload.min.628b00303a043cfb35e700fd4032c671.js"></script>278279280281282<script type="text/javascript">283284var nvidiaGDClogqueue = [];285var nvidiaGDClog = function() {286 nvidiaGDClogqueue.push(arguments)287};288289;(function ( nvidiaGDC ){290 291 nvidiaGDC.SC = nvidiaGDC.SC || {};292 nvidiaGDC.SC.vars = nvidiaGDC.SC.vars || {};293 nvidiaGDC.SC.vars.pageTemplate = "/conf/nvidiaweb/settings/wcm/templates/enterprise-template".toLowerCase();294 295296 var nvidiaGDCFunctionQueue = function(){297 this.queue = [];298 };299 nvidiaGDCFunctionQueue.prototype.addToQueue = function(funcItem){300 nvidiaGDClog("funcqueue/add");301 nvidiaGDClog(funcItem);302 this.queue.push(funcItem);303 };304 nvidiaGDCFunctionQueue.prototype.clearQueue = function(){305 this.queue.length = 0;306 };307 nvidiaGDCFunctionQueue.prototype.executeQueue = function(){308309 var nQueueLength = this.queue.length;310 var sTargetID,311 sMethodName,312 aParams,313 $targetElement,314 fMethod;315316 for (var i = 0; i < this.queue.length; i++) {317 try {318 var funcItem = this.queue[i];319320 if (typeof funcItem === 'object') {321 nvidiaGDClog("funcqueue/object: " + funcItem['method']);322 sTargetID = funcItem['id'];323 sMethodName = funcItem['method'];324 aParams = funcItem['params'];325 $targetElement = $(document.getElementById(sTargetID));326 fMethod = $targetElement[sMethodName];327328 fMethod.apply($targetElement, aParams);329330 } else if (typeof funcItem === 'string' && nvidiaGDC.Func) {331 nvidiaGDClog("funcqueue/string: " + funcItem);332 if (typeof nvidiaGDC.Func[funcItem] === 'function') {333 nvidiaGDC.Func[funcItem].call();334 }335336 }337 } catch(err) {338 if (typeof console == "object") {339 nvidiaGDClog("Error running script - " + err + " (Has plugin been included?)");340 nvidiaGDClog({341 "sTargetID" : sTargetID,342 "sMethodName" : sMethodName,343 "aParams" : aParams,344 "$targetElement" : $targetElement,345 "fMethod" : fMethod346 });347 }348 }349 }350 this.clearQueue();351 };352353 nvidiaGDC.funcQueue = nvidiaGDC.funcQueue || new nvidiaGDCFunctionQueue();354 355})(NVIDIAGDC);356357358</script>359360361362 363 <script>364 (() => {365 let getViewportDimensions = () => {366 return {367 width: Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0),368 height: Math.max(document.documentElement.clientHeight || 0, window.clientHeight || 0)369 }370 }371372 let getViewportType = () => {373 const viewport = getViewportDimensions();374 if (viewport.width < 640) {375 return 'mobile';376 } else if (viewport.width >= 640 && viewport.width < 1024) {377 return 'tablet';378 } else if (viewport.width >= 1024 && viewport.width < 1350) {379 return 'laptop';380 } else if (viewport.width >= 1350) {381 return 'desktop';382 }383 }384 let currentViewportType = getViewportType();385386 window.addEventListener("resize", () => {387 const oldResolution = currentViewportType;388 currentViewportType = getViewportType();389 if (oldResolution !== currentViewportType) {390 window.dispatchEvent(new CustomEvent("onNvBreakpointChange", {391 detail: {392 breakpoint: currentViewportType,393 changedFrom: oldResolution,394 vw: getViewportDimensions().width,395 vh: getViewportDimensions().height396 }397 }));398 }399 });400401 // START: Header Height Calculation and Custom Event for Header Height Change402 403 let lastTotalHeight = 0;404 const headerSelectors = [405 // Below are Common Selectors406 '.global-nav:not(.pull-up)>.geo-locator', // Geo - Locator407 '.global-nav:not(.pull-up)>.nav-header', // Main Nav - Desktop408 '.global-nav:not(.pull-up)>.mobile-nav', // Main Nav - Mobile409 '.global-nav>#unibrow-container', // Unibrow - Injected via Target410 '.global-nav>.sub-brand-nav', // Common Sub Brand Nav411 '.global-nav>.breadcrumb .subnav', // Page Sub Brand Nav412 '.global-nav>.in-page-nav-outer-container', // In-page Nav413 '.global-nav>.cmp-verticalnavigation__toc-mobile', // Vertical navigation414 ];415416 // Configuration for MutationObservers.417 // Add a `debugName` property to help identify which observer is firing.418 const mutationObserversConfig = [419 {420 selector: 'nav.global-nav',421 debugName: 'Global Navigation Container',422 options: { attributes: true, attributeFilter: ['class', 'style'], childList: true }423 },424 {425 selector: '.global-nav>.geo-locator',426 debugName: 'Geo Locator',427 options: { attributes: true, attributeFilter: ['class', 'style'], childList: true }428 },429 {430 selector: '.global-nav>#unibrow-container',431 debugName: 'Unibrow Container',432 options: { attributes: true, attributeFilter: ['class', 'style'], childList: true }433 }434 ];435436 // Configuration for ResizeObservers.437 // Add new objects to this array to monitor additional elements for size changes.438 const resizeObserversConfig = [439 {440 selector: '.global-nav>.geo-locator',441 debugName: 'Geo Locator (ResizeObserver)'442 }443 ];444445 // ---------------------------------------------------------------------446 // Utility Functions447 // ---------------------------------------------------------------------448449 /**450 * Function to calculate the total height of the header elements.451 * This function loops through the provided header selectors, calculates their height, 452 * and returns the total sum of these heights.453 * 454 * @returns {Number} The total height of all header elements.455 */456 const calculateTotalHeight = () => {457 let totalHeight = 0;458 headerSelectors.forEach((headerSelector) => {459 const headerHeight = document.querySelector(headerSelector)?.offsetHeight || 0;460 totalHeight += headerHeight;461 });462 return totalHeight;463 }464465 /**466 * Updates the header layout by recalculating the total header height,467 * updating CSS custom properties, and dispatching a custom event if a change occurred.468 */469 const updateHeaderLayout = () => {470 const newTotalHeight = calculateTotalHeight();471 if (newTotalHeight !== lastTotalHeight) {472 lastTotalHeight = newTotalHeight;473 window.dispatchEvent(new CustomEvent("onNvHeaderHeightChange", { detail: newTotalHeight }));474 document.documentElement.style.setProperty('--nv-header-height', newTotalHeight + 'px');475 476 // Calculate pull-up height using either the mobile navigation or desktop navigation477 // plus the geo-locator height.478 const mobileNavHeight = 479 document.querySelector('.global-nav>.mobile-nav')?.offsetHeight ||480 document.querySelector('.global-nav>.nav-header')?.offsetHeight || 0;481 const geoLocatorHeight = document.querySelector('.global-nav>.geo-locator')?.offsetHeight || 0;482 const pullUpHeight = mobileNavHeight + geoLocatorHeight;483 document.documentElement.style.setProperty('--nv-global-nav-pull-up', pullUpHeight + 'px');484 }485 };486487 /**488 * Attaches a MutationObserver to the given element using the specified options.489 *490 * @param {HTMLElement} element - The DOM element to observe.491 * @param {Object} options - Options for the MutationObserver.492 * @param {String} debugName - A name to identify this observer in logs.493 */494 const attachMutationObserver = (element, options, debugName = 'Unknown MutationObserver') => {495 if (!element) return;496 const observer = new MutationObserver((mutationsList) => {497 updateHeaderLayout();498 });499 observer.observe(element, options);500 };501 502 /**503 * Attaches a ResizeObserver to the given element.504 *505 * @param {HTMLElement} element - The DOM element to observe for size changes.506 * @param {String} debugName - A name to identify this observer in logs.507 */508 const attachResizeObserver = (element, debugName = 'Unknown ResizeObserver') => {509 if (!element || !window.ResizeObserver) return;510 const resizeObserver = new ResizeObserver((entries) => {511 updateHeaderLayout();512 });513 resizeObserver.observe(element);514 };515 516 // ---------------------------------------------------------------------517 // Observer Initialization Functions518 // ---------------------------------------------------------------------519 520 /**521 * Initializes and attaches MutationObservers for all configured elements.522 */523 const setMutationObservers = () => {524 mutationObserversConfig.forEach(config => {525 const element = document.querySelector(config.selector);526 attachMutationObserver(element, config.options, config.debugName);527 });528 };529 530 /**531 * Initializes and attaches ResizeObservers for all configured elements.532 */533 const setResizeObservers = () => {534 resizeObserversConfig.forEach(config => {535 const element = document.querySelector(config.selector);536 attachResizeObserver(element, config.debugName);537 });538 };539 540 /**541 * Main function to set up all header observers—both MutationObservers and ResizeObservers.542 * Calling window.setHeaderObservers() will initialize and attach all observers.543 */544 window.setHeaderObservers = () => {545 setMutationObservers();546 setResizeObservers();547 // Perform an initial update to ensure proper header layout on load.548 updateHeaderLayout();549 };550 551 /**552 * Function to get the current total height of all header elements.553 * This function returns the total header height by retrieving --nv-header-height value.554 * 555 * @returns {Number} The current total height of all header elements.556 */557 window.getHeaderHeight = () => {558 const rootStyles = getComputedStyle(document.documentElement);559 const headerHeight = rootStyles.getPropertyValue('--nv-header-height').trim();560 return parseFloat(headerHeight);561 };562 563 // END: Header Height Calculation and Custom Event for Header Height Change564565 // START: setContainerHeight566 /* 567 setContainerHeight sets the height of nv-container image or video.568 This is included in head section to improve the page performance569 */570 571 const containerWithFitBgEnabled = [];572 window.setContainerHeight = (containerID) => {573 var element = document.getElementById(containerID);574 var disableMidgroundImgAutoHeight = null;575 var disableVideoAutoHeight = null;576 if (element.classList.contains('v1-1')) {577 disableMidgroundImgAutoHeight = 'true';578 disableVideoAutoHeight = 'true';579 }580 var vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0);581 var imageContainer = element.querySelector('.nv-img-as-bg');582 var videoContainer = element.querySelector('.nv-video-as-bg');583 var image = element.querySelector('#image-' + containerID);584 var video = element.querySelector('#video-' + containerID);585 disableMidgroundImgAutoHeight = disableMidgroundImgAutoHeight || element.getAttribute('data-cmp-disableMidgroundAutoHeight');586 disableVideoAutoHeight = disableVideoAutoHeight || element.getAttribute('data-cmp-disableVideoAutoHeight');587 if (!image && !video) {588 return;589 }590 if (!containerWithFitBgEnabled.includes(containerID)591 && (imageContainer?.classList.contains('t-img-fit')592 || imageContainer?.classList.contains('p-img-fit')593 || imageContainer?.classList.contains('t-image-fit-contain')594 || imageContainer?.classList.contains('t-image-fit-cover')595 || imageContainer?.classList.contains('p-image-fit-contain')596 || imageContainer?.classList.contains('p-image-fit-cover')597 || videoContainer?.classList.contains('t-video-fit')598 || videoContainer?.classList.contains('p-video-fit')599 || videoContainer?.classList.contains('t-video-fit-contain')600 || videoContainer?.classList.contains('t-video-fit-cover')601 || videoContainer?.classList.contains('p-video-fit-contain')602 || videoContainer?.classList.contains('p-video-fit-cover'))) {603 containerWithFitBgEnabled.push(containerID);604 }605 if (image && !image.classList.contains('hide')) {606 var imgHeight = image.naturalHeight;607 var imgRenderedHeight = image.height;608 var childElement = imageContainer;609 if (imgHeight === 1 || imgRenderedHeight === 1) {610 return;611 }612 }613 if (video && !video.classList.contains('hide') && video.children.length > 0) {614 var videoHeight = video.videoHeight;615 var videoRenderedHeight = video.getBoundingClientRect().height;616 var childElement = videoContainer;617 }618619 element.style.height = null;620 if (childElement) childElement.style.height = null;621622 const isMobileViewport = vpWidth < 640;623 const isTabletViewport = vpWidth >= 640 && vpWidth < 1024;624625 if (isMobileViewport) {626 if (imageContainer?.classList.contains('p-image-c-top') || imageContainer?.classList.contains('p-image-c-bottom')) {627 disableMidgroundImgAutoHeight = 'false';628 }629 if (videoContainer?.classList.contains('p-video-c-top') || videoContainer?.classList.contains('p-video-c-bottom')) {630 disableVideoAutoHeight = 'false';631 }632 }633634 if (isTabletViewport) {635 if (imageContainer?.classList.contains('t-image-c-top') || imageContainer?.classList.contains('t-image-c-bottom')) {636 disableMidgroundImgAutoHeight = 'false';637 }638 if (videoContainer?.classList.contains('t-video-c-top') || videoContainer?.classList.contains('t-video-c-bottom')) {639 disableVideoAutoHeight = 'false';640 } 641 }642643 if (videoHeight !== undefined && videoHeight != 1 && videoHeight !== 0 && disableVideoAutoHeight !== 'true') {644 const pVideoCTop = childElement.classList.contains('p-video-c-top');645 const pVideoCBottom = childElement.classList.contains('p-video-c-bottom');646 const pVideoFit = childElement.classList.contains('p-video-fit');647648 const tVideoCTop = childElement.classList.contains('t-video-c-top');649 const tVideoCBottom = childElement.classList.contains('t-video-c-bottom');650 const tVideoFit = childElement.classList.contains('t-video-fit');651652 let setChildHeight = false;653 let height = videoHeight;654655 if (isMobileViewport && (pVideoCTop || pVideoCBottom || pVideoFit)) {656 setChildHeight = pVideoCTop || pVideoCBottom;657 height = pVideoFit ? videoRenderedHeight : videoHeight;658 } else if (isTabletViewport && (tVideoCTop || tVideoCBottom || tVideoFit)) {659 setChildHeight = tVideoCTop || tVideoCBottom;660 height = tVideoFit ? videoRenderedHeight : videoHeight;661 }662 663 setChildHeight ? (childElement.style.height = height + 'px') : (element.style.height = height + 'px');664 }665 else if (imgHeight !== undefined && imgHeight != 1 && disableMidgroundImgAutoHeight !== 'true') {666 const pImageCTop = childElement.classList.contains('p-image-c-top');667 const pImageCBottom = childElement.classList.contains('p-image-c-bottom');668 const pImgFit = childElement.classList.contains('p-img-fit');669670 const tImageCTop = childElement.classList.contains('t-image-c-top');671 const tImageCBottom = childElement.classList.contains('t-image-c-bottom');672 const tImgFit = childElement.classList.contains('t-img-fit');673674 let height = imgHeight;675 let setChildHeight = false;676677 if (isMobileViewport && (pImageCTop || pImageCBottom || pImgFit)) {678 height = imgRenderedHeight;679 setChildHeight = pImageCTop || pImageCBottom;680 } else if (isTabletViewport && (tImageCTop || tImageCBottom || tImgFit)) {681 height = imgRenderedHeight;682 setChildHeight = tImageCTop || tImageCBottom;683 }684685 setChildHeight ? (childElement.style.height = height + 'px') : (element.style.height = height + 'px');686 } else if (video?.hasAttribute('poster') && disableVideoAutoHeight !== 'true') {687 element.style.height = videoRenderedHeight + 'px';688 }689690 // If container is authored inside carousel - adjust height as per first container height 691 var nvContainer = element.parentNode,692 nvContainerParent = nvContainer?.parentNode,693 isCarouselSlide = nvContainerParent?.classList.contains('cmp-carousel__item') || false;694 if (isCarouselSlide) {695 var carouselSlideId = nvContainerParent.getAttribute('id'),696 carouselId = carouselSlideId.match(/(.*)-item-(.*)-tabpanel/)[1],697 firstSlide = document.querySelector('#' + carouselId + ' [data-cmp-slide-no="1"]'),698 firstSlideImageHeight = firstSlide?.querySelector('.nv-img-as-bg')?.style.height,699 firstSlideVideoHeight = firstSlide?.querySelector('.nv-video-as-bg')?.style.height,700 containerImg = nvContainer.querySelector('.nv-img-as-bg'),701 containerVideo = nvContainer.querySelector('.nv-video-as-bg');702703 if (firstSlideImageHeight && containerImg) containerImg.style.height = firstSlideImageHeight;704 if (firstSlideVideoHeight && containerVideo) containerVideo.style.height = firstSlideVideoHeight;705 }706 }707708 window.addEventListener('onNvBreakpointChange', (e) => {709 document.querySelectorAll('[data-cmp-is="nv-container"]').forEach((container) => {710 const containerId = container.getAttribute('id');711 window.initBuildVideo(containerId);712 window.initLazyLoadingImages(containerId);713 window.setContainerHeight(containerId);714 });715 });716717 // Call setContainerHeight for containers with Fit Image Background or Fit Video Background is Enabled718 // Fit Image / Video Background is applicabled only for Mobile & Tablet viewports719 window.addEventListener('resize', (e) => {720 if (containerWithFitBgEnabled.length > 0) {721 const vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0);722 if (vpWidth <= 1023) {723 containerWithFitBgEnabled.forEach(containerId => window.setContainerHeight(containerId));724 }725 }726 });727 // END: setContainerHeight728729 // Variables730 let videoSources = {};731732 /**733 * @breif Accepts components JSON data to build source elements for each device type734 * @param Object videoSource 735 */736 let buildSources = (videoSource) => {737 for (const viewport in videoSource) {738 const fragment = createSrcFragment(videoSource[viewport]);739 videoSources[viewport] = fragment;740 }741 }742743 /**744 * @breif Creats document fragment that contain maximum of upto 3 <source> tags (webm, mp4, ogg)745 * @param {*} videos - Array of objects with type and src properties746 * @returns DocumentFragment with maximum of upto 3 <source> tags747 */748 let createSrcFragment = (videos) => {749 const fragment = new DocumentFragment();750 const videoWebm = videos.find((src) => src.type === 'video/webm');751 const videoMp4 = videos.find((src) => src.type === 'video/mp4');752 const videoOgg = videos.find((src) => src.type === 'video/ogg');753 if (videoWebm && videoWebm.src && videoWebm.type) {754 fragment.appendChild(createSource(videoWebm));755 }756 if (videoMp4 && videoMp4.src && videoMp4.type) {757 fragment.appendChild(createSource(videoMp4));758 }759 if (videoOgg && videoOgg.src && videoOgg.type) {760 fragment.appendChild(createSource(videoOgg));761 }762 return fragment;763 }764765 /**766 * @breif Creates source element767 * @param {*} videos - Object with type and src properties768 * @returns HTMLElement <source>769 */770 let createSource = (video) => {771 const source = document.createElement('source');772 source.setAttribute('src', video.src);773 source.setAttribute('type', video.type);774 return source;775 }776777 /**778 * Adds source elments to video and trigger play779 * @param {*} videoEle 780 * @param {*} videoSources 781 */782 let loadVideo = (videoEle, videoSources) => {783 videoEle.classList.remove('hide');784 videoEle.appendChild(videoSources);785 }786787 let initLazyLoadingVideo = (containerId) => {788 //Select all videos that have lazy loading enabled789 const container = document.getElementById(containerId);790 const videoTarget = container.querySelector('video[data-nv-lazyload]');791 792 if (videoTarget) {793 //Intersection Observer Callback Function794 const loadVideo = (entries, observer) => {795 const [entry] = entries;796 if (!entry.isIntersecting) {797 return;798 }799 entry.target.play();800 801 videoTarget.removeAttribute('data-nv-lazyload');802 803 observer.unobserve(entry.target);804 };805 806 const videoObserver = new IntersectionObserver(loadVideo, {807 root: null,808 rootMargin: "300px"809 })810 811 // Set the Videos to be observed812 videoObserver.observe(videoTarget);813 814 }815 }816817 /**818 * @breif Build <source> and append to <video>. Handles changing video source by screen size.819 */820 window.initBuildVideo = (containerId) => {821 const container = document.getElementById(containerId);822 const video = container.querySelector('.nv-video-load-src>video');823 if (video) {824 const videoSource = JSON.parse(video.dataset.videoSource);825 let screen = document.documentElement.clientWidth || document.body.clientWidth;826 buildSources(videoSource);827 828 if (Object.keys(videoSources).length > 0) {829 while (video.firstChild) {830 video.removeChild(video.lastChild);831 }832 if (screen < 640) {833 if (videoSources.mobile) loadVideo(video, videoSources.mobile);834 else video.classList.add('hide');835 } else if (screen >= 640 && screen < 1024) {836 if (videoSources.tablet) loadVideo(video, videoSources.tablet);837 else video.classList.add('hide');838 } else if (screen >= 1024 && screen < 1350) {839 if (videoSources.laptop) loadVideo(video, videoSources.laptop);840 else video.classList.add('hide');841 } else if (screen >= 1350) {842 if (videoSources.desktop) loadVideo(video, videoSources.desktop);843 else video.classList.add('hide');844 }845 }846847 if (video.hasAttribute('poster')) {848 window.setContainerHeight(containerId);849 }850 851 video.onloadeddata = function() {852 window.setContainerHeight(containerId);853 video.play();854 }855 video.onended = () => {856 if (!video.hasAttribute('loop')) {857 video.classList.add('hide');858 window.setContainerHeight(containerId);859 }860 }861 862 if (video.hasAttribute('data-nv-lazyload')) {863 initLazyLoadingVideo(containerId);864 } else {865 video.load();866 }867 868 video.classList.remove('nv-video-load-src');869 video.classList.add('nv-video-src-loaded');870 }871 }872873 window.initLazyLoadingImages = (containerId) => {874 //Select all images that have lazy loading enabled875 const container = document.getElementById(containerId);876 const picture = container.querySelector('picture[data-nv-lazyload]');877 if (picture) {878 const imageTarget = picture.querySelector('img');879 880 //Intersection Observer Callback Function881 const loadImage = (entries, observer) => {882 const [entry] = entries;883 if (!entry.isIntersecting) {884 return;885 }886 887 const picture = entry.target.parentNode,888 srcsetMobile = picture.getAttribute('data-srcset-mobile'),889 srcsetTablet = picture.getAttribute('data-srcset-tablet'),890 srcsetLaptop = picture.getAttribute('data-srcset-laptop'),891 srcsetDesktop = picture.getAttribute('data-srcset-desktop');892 picture.querySelector('source[data-source-mobile]').srcset = srcsetMobile;893 picture.querySelector('source[data-source-tablet]').srcset = srcsetTablet;894 picture.querySelector('source[data-source-laptop]').srcset = srcsetLaptop;895 picture.querySelector('source[data-source-desktop]').srcset = srcsetDesktop;896 picture.querySelector('img').src = srcsetDesktop.split(',')[0];897 picture.querySelector('img').srcset = srcsetDesktop.split(',')[1];898 899 if (imageTarget.closest('.nv-img-as-bg')) {900 imageTarget.onload = function() {901 window.setContainerHeight(containerId);902 }903 }904 905 picture.removeAttribute('data-nv-lazyload');906 907 observer.unobserve(entry.target);908 };909 910 const imageObserver = new IntersectionObserver(loadImage, {911 root: null,912 rootMargin: "300px"913 });914 915 // Set the Images to be observed916 imageObserver.observe(imageTarget);917 918 }919 };920 })();921 </script>922923924925926927928929930<title>H100 GPU | NVIDIA</title>931932933934935 936 937938 939940 941942943944945946947948949950 951 <style>952body.v4_design.base_v4 .navigation ul {953 line-height: inherit;954}955 #nv-login-mob { display: flex; align-items: center; } @media (max-width: 1023px) and (min-width: 640px) { .navigation:has(.account-icon):not(:has(.account-icon.logged-in)) .global-nav .nav-header-container .nav-tools-container .nav-header-list .nav-header-item.cart-item956957{ right: 80px!important; }958}959@media (max-width: 639px) {960body.v4_design.base_v4 .navigation .global-nav .nav-header-container .nav-tools-container .nav-header-list {961 width: 92%;962 }963}964</style>965</head>966 967 968 969 970 971 <body class="body-page nv-page-body theme-en-us theme-deeplearning enterprise page basicpage">972 973 974 975976977978979980981 982983984 <header id="main-header">985 986 987 988 <div class="meganavigation navigation">989990991992993994995996997998 999100010011002100310041005100610071008100910101011101210131014 101510161017 10181019102010211022 1023102410251026102710281029103010311032 1033 1034 1035 1036103710381039 1040 1041 1042 10431044104510461047 1048 1049 1050 105110521053105410551056<!-- SVG SYMBOL DEFINITIONS -->10571058<svg xmlns="http://www.w3.org/2000/svg" class="hide"1059 style="display: none;">1060 1061 <symbol id="n24-nvidia-logo" viewBox="0 0 108.472 20">1062 <title id="nvidia_logo_desktop">NVIDIA Home</title>1063 <desc>NVIDIA Home</desc>1064 <path id="nvidia-logo-reg"1065 d="M1072.628,253.918v-.3h.192c.105,0,.248.008.248.136s-.073.163-.2.163h-.243m0,.211h.129l.3.524h.327l-.33-.545a.3.3,0,0,0,.311-.323c0-.285-.2-.377-.53-.377h-.482v1.245h.276v-.524m1.4-.1a1.2,1.2,0,1,0-1.2,1.157,1.14,1.14,0,0,0,1.2-1.157m-.347,0a.854.854,0,0,1-.855.891v0a.889.889,0,1,1,.855-.887Z"1066 transform="translate(-965.557 -237.878)" />1067 <path id="nvidia-logo-NVIDIA"1068 d="M463.9,151.934v13.127h3.707V151.934Zm-29.164-.018v13.145h3.74v-10.2l2.918.01a2.674,2.674,0,0,1,2.086.724c.586.625.826,1.632.826,3.476v5.995h3.624V157.8c0-5.183-3.3-5.882-6.536-5.882Zm35.134.018v13.127h6.013c3.2,0,4.249-.533,5.38-1.727a7.352,7.352,0,0,0,1.316-4.692,7.789,7.789,0,0,0-1.2-4.516c-1.373-1.833-3.352-2.191-6.306-2.191Zm3.677,2.858h1.594c2.312,0,3.808,1.039,3.808,3.733s-1.5,3.734-3.808,3.734h-1.594Zm-14.992-2.858-3.094,10.4-2.965-10.4h-4l4.234,13.127h5.343l4.267-13.127Zm25.749,13.127h3.708V151.935h-3.709ZM494.7,151.939l-5.177,13.117h3.656l.819-2.318h6.126l.775,2.318h3.969l-5.216-13.118Zm2.407,2.393,2.246,6.145h-4.562Z"1069 transform="translate(-399.551 -148.155)" />1070 <path id="nvidia-logo-eye-mark" data-name="Eye Mark"1071 d="M129.832,124.085v-1.807c.175-.013.353-.022.533-.028,4.941-.155,8.183,4.246,8.183,4.246s-3.5,4.863-7.255,4.863a4.553,4.553,0,0,1-1.461-.234v-5.478c1.924.232,2.31,1.082,3.467,3.01l2.572-2.169a6.81,6.81,0,0,0-5.042-2.462,9.328,9.328,0,0,0-1,.059m0-5.968v2.7c.177-.014.355-.025.533-.032,6.871-.232,11.348,5.635,11.348,5.635s-5.142,6.253-10.5,6.253a7.906,7.906,0,0,1-1.383-.122v1.668a9.1,9.1,0,0,0,1.151.075c4.985,0,8.59-2.546,12.081-5.559.578.463,2.948,1.591,3.435,2.085-3.319,2.778-11.055,5.018-15.44,5.018-.423,0-.829-.026-1.228-.064v2.344h18.947v-20Zm0,13.009v1.424c-4.611-.822-5.89-5.615-5.89-5.615a9.967,9.967,0,0,1,5.89-2.85v1.563h-.007a4.424,4.424,0,0,0-3.437,1.571s.845,3.035,3.444,3.908m-8.189-4.4a11.419,11.419,0,0,1,8.189-4.449v-1.463c-6.043.485-11.277,5.6-11.277,5.6s2.964,8.569,11.277,9.354v-1.555C123.731,133.451,121.643,126.728,121.643,126.728Z"1072 transform="translate(-118.555 -118.117)" fill="#74b71b" />1073 </symbol>1074 1075 <symbol id="n24-menu" viewBox="0 0 24 24">1076 <title>Menu</title>1077 <desc>Menu icon</desc>1078 <defs>1079 <style>1080.n24-icon-menu-bg {1081 opacity: 0;1082}10831084.n24-icon-menu-stroke {1085 fill: none;1086 stroke: #666;1087 stroke-miterlimit: 10;1088 stroke-width: 1.5px;1089}1090</style></defs>1091 <g id="n24-icon-menu-group">1092 <g id="n24-icon-menu-boundary" class="n24-icon-menu-bg">1093 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" /></g>1094 <line class="n24-icon-menu-stroke" x1="4.5" y1="7.5"1095 x2="19.5" y2="7.5" />1096 <line class="n24-icon-menu-stroke" x1="4.5" y1="12"1097 x2="19.5" y2="12" />1098 <line class="n24-icon-menu-stroke" x1="4.5" y1="16.5"1099 x2="19.5" y2="16.5" />1100 </g>1101 </symbol>1102 1103 <symbol id="n32-menu" viewBox="0 0 32 32">1104 <title>Menu</title>1105 <desc>Menu icon</desc>1106 <defs>1107 <style>1108.n32-icon-menu-cls-1, .n32-icon-menu-cls-3, .n32-icon-menu-cls-4 {1109 fill: none;1110}11111112.n32-icon-menu-cls-1, .n32-icon-menu-cls-4 {1113 stroke: #666;1114 stroke-width: 2px;1115}11161117.n32-icon-menu-cls-1 {1118 stroke-miterlimit: 10;1119}11201121.n32-icon-menu-cls-2 {1122 opacity: 0;1123}1124</style></defs>1125 <line id="n32-icon-menu-line-3b" data-name="Line 3b"1126 class="n32-icon-menu-cls-1" x1="16" y1="23" x2="24" y2="23" />1127 <line id="n32-icon-menu-line-3a" data-name="Line 3a"1128 class="n32-icon-menu-cls-1" x1="8" y1="23" x2="16" y2="23" />1129 <line id="n32-icon-menu-line-2b" data-name="Line 2b"1130 class="n32-icon-menu-cls-1" x1="16" y1="16" x2="24" y2="16" />1131 <line id="n32-icon-menu-line-2a" data-name="Line 2a"1132 class="n32-icon-menu-cls-1" x1="8" y1="16" x2="16" y2="16" />1133 <line id="n32-icon-menu-line-1b" data-name="Line 1b"1134 class="n32-icon-menu-cls-1" x1="16" y1="9" x2="24" y2="9" />1135 <line id="n32-icon-menu-line-1a" data-name="Line 1a"1136 class="n32-icon-menu-cls-1" x1="8" y1="9" x2="16" y2="9" />1137 <g id="Container" class="n32-icon-menu-cls-2">1138 <rect class="n32-icon-menu-cls-3" width="32" height="32" />1139 <rect class="n32-icon-menu-cls-4" x="1" y="1" width="30"1140 height="30" />1141 </g>1142 </symbol>1143 1144 <symbol id="n24-close-small" viewBox="0 0 24 24">1145 <title>Close</title>1146 <desc>Close icon</desc>1147 <defs>1148 <style>1149.n24-icon-close-small-cls-1 {1150 opacity: 0;1151}11521153.n24-icon-close-small-cls-2 {1154 fill: none;1155 stroke: #666;1156 stroke-miterlimit: 10;1157 stroke-width: 1.5px;1158}1159</style></defs>1160 <g id="n24-icon-close-small">1161 <g id="boundary">1162 <g class="n24-icon-close-small-cls-1">1163 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" />1164 </g>1165 </g>1166 <line class="n24-icon-close-small-cls-2" x1="7.50005"1167 y1="7.50002" x2="16.50005" y2="16.50002" />1168 <line class="n24-icon-close-small-cls-2" x1="7.50005"1169 y1="16.50002" x2="16.50005" y2="7.50002" />1170 </g>1171 </symbol>1172 1173 <symbol id="n24-close" viewBox="0 0 24 24">1174 <title>Close</title>1175 <desc>Close icon</desc>1176 <defs>1177 <style>1178.n24-icon-close-cls-1 {1179 opacity: 0;1180}11811182.n24-icon-close-cls-2 {1183 fill: none;1184 stroke: #666;1185 stroke-miterlimit: 10;1186 stroke-width: 1.5px;1187}1188</style></defs>1189 <g id="n24-icon-close">1190 <g id="boundary">1191 <g class="n24-icon-close-cls-1">1192 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" />1193 </g>1194 </g>1195 <line class="n24-icon-close-cls-2" x1="4.5" y1="4.5"1196 x2="19.5" y2="19.5" />1197 <line class="n24-icon-close-cls-2" x1="4.5" y1="19.5"1198 x2="19.5" y2="4.5" />1199 </g>1200 </symbol>1201 1202 <symbol id="n32-close" viewBox="0 0 32 32">1203 <title>Close</title>1204 <desc>Close icon</desc>1205 <defs>1206 <style>1207.close-icon {1208 fill: #666;1209 fill-rule: evenodd;1210}1211</style></defs>1212 <path id="n32-icon-close-path" data-name="Close icon path"1213 class="close-icon"1214 d="M25,8.82,23.18,7,16,14.18,8.82,7,7,8.82,14.18,16,7,23.18,8.82,25,16,17.82,23.18,25,25,23.18,17.82,16Z" />1215 </symbol>1216 1217 <symbol id="n24-caret-down" viewBox="0 0 24 24">1218 <title>Caret down icon</title>1219 <desc>Accordion is closed, click to open.</desc>1220 <defs>1221 <style>1222.n24-icon-caret-down-cls-1 {1223 opacity: 0;1224}12251226.n24-icon-caret-down-cls-2 {1227 fill: none;1228 stroke: #666;1229 stroke-miterlimit: 10;1230 stroke-width: 1.5px;1231}1232</style></defs>1233 <g id="n24-icon-caret-down">1234 <g id="n24-icon-caret-down-boundary">1235 <g class="n24-icon-caret-down-cls-1">1236 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" />1237 </g>1238 </g>1239 <polyline class="n24-icon-caret-down-cls-2"1240 points="4.5 8.25 12 15.75 19.5 8.25" />1241 </g>1242 </symbol>1243 1244 <symbol id="n32-caret-down" viewBox="0 0 32 32">1245 <title>Caret down icon</title>1246 <desc>Accordion is closed, click to open.</desc>1247 <path id="n32-icon-caret-down-line-1" data-name="Line 1"1248 d="M1,0,8,7,1,14" transform="translate(22.5 11.5) rotate(90)"1249 fill="none" stroke="#666" stroke-width="2" />1250 <g id="n32-icon-caret-down-container" fill="none" stroke="#666"1251 stroke-width="2" opacity="0">1252 <rect width="32" height="32" stroke="none" />1253 <rect x="1" y="1" width="30" height="30" fill="none" />1254 </g>1255 </symbol>1256 1257 <symbol id="n32-caret-up" viewBox="0 0 32 32">1258 <title>Caret up icon</title>1259 <desc>Accordion is open, click to close.</desc>1260 <path id="n32-icon-caret-up-line-1" data-name="Line 1"1261 d="M1,0,8,7,1,14" transform="translate(8.5 20.5) rotate(-90)"1262 fill="none" stroke="#666" stroke-width="2" />1263 <g id="n32-icon-caret-up-container" fill="none" stroke="#666"1264 stroke-width="2" opacity="0">1265 <rect width="32" height="32" stroke="none" />1266 <rect x="1" y="1" width="30" height="30" fill="none" />1267 </g>1268 </symbol>1269 1270 <symbol id="n24-caret-right-small" viewBox="0 0 24 24">1271 <title>Caret right icon</title>1272 <desc>Click to expand</desc>1273 <defs>1274 <style>1275.n24-icon-caret-right-small-cls-1 {1276 fill: none;1277 stroke: #666;1278 stroke-miterlimit: 10;1279 stroke-width: 1.5px;1280}12811282.n24-icon-caret-right-small-cls-2 {1283 opacity: 0;1284}1285</style></defs>1286 <g id="n24-icon-caret-right-small">1287 <g class="n24-icon-caret-right-small-cls-2">1288 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" />1289 </g>1290 <polyline class="n24-icon-caret-right-small-cls-1"1291 points="9.75 16.5 14.25 12 9.75 7.5" />1292 </g>1293 </symbol>1294 1295 <symbol id="n24-caret-right" viewBox="0 0 24 24">1296 <title>Caret right icon</title>1297 <desc>Click to expand</desc>1298 <defs>1299 <style>1300.n24-icon-caret-right-bg {1301 opacity: 0;1302}13031304.n24-icon-caret-right-stroke {1305 fill: none;1306 stroke: #666;1307 stroke-miterlimit: 10;1308 stroke-width: 1.5px;1309}1310</style></defs>1311 <g id="n24-icon-caret-right-icon">1312 <g id="n24-icon-caret-boundary"1313 class="n24-icon-caret-right-bg">1314 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" /></g>1315 <polyline class="n24-icon-caret-right-stroke"1316 points="8.25 19.5 15.75 12 8.25 4.5" />1317 </g>1318 </symbol>1319 1320 <symbol id="n32-caret-right" viewBox="0 0 32 32">1321 <title>Caret right icon</title>1322 <desc>Click to expand menu.</desc>1323 <g id="n32-icon-caret-right-bg" fill="none" stroke="#666"1324 stroke-width="2" opacity="0">1325 <rect width="32" height="32" stroke="none" />1326 <rect x="1" y="1" width="30" height="30" fill="none" />1327 </g>1328 <path id="n32-icon-caret-right-line-1" d="M1,0,8,7,1,14"1329 transform="translate(11.5 9)" fill="none" stroke="#666"1330 stroke-width="2" />1331 </symbol>1332 1333 <symbol id="n24-caret-left-small" viewBox="0 0 24 24">1334 <title>Caret left icon</title>1335 <desc>Click to collapse menu.</desc>1336 <defs>1337 <style>1338.n24-caret-left-small-cls-1 {1339 fill: none;1340 stroke: #666;1341 stroke-miterlimit: 10;1342 stroke-width: 1.5px;1343}13441345.n24-caret-left-small-cls-2 {1346 opacity: 0;1347}1348</style></defs>1349 <g id="n24-icon-caret-left-small">1350 <polyline class="n24-caret-left-small-cls-1"1351 points="14.25 7.5 9.75 12 14.25 16.5" />1352 <g class="n24-caret-left-small-cls-2">1353 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" />1354 </g>1355 </g>1356 </symbol>1357 1358 <symbol id="n24-caret-left" viewBox="0 0 24 24">1359 <title>Caret left icon</title>1360 <desc>Click to collapse menu.</desc>1361 <defs>1362 <style>1363.n24-icon-caret-left-bg {1364 opacity: 0;1365}13661367.n24-icon-caret-left-stroke {1368 fill: none;1369 stroke: #666;1370 stroke-miterlimit: 10;1371 stroke-width: 1.5px;1372}1373</style></defs>1374 <g id="n24-icon-caret-left">1375 <g id="boundary" class="n24-icon-caret-left-bg">1376 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" /></g>1377 <polyline class="n24-icon-caret-left-stroke"1378 points="15.75 4.5 8.25 12 15.75 19.5" />1379 </g>1380 </symbol>1381 1382 <symbol id="n32-caret-left" viewBox="0 0 32 32">1383 <title>Caret left icon</title>1384 <desc>Click to collapse menu.</desc>1385 <path id="n32-caret-left-line-1" data-name="line 1"1386 d="M1,0,8,7,1,14" transform="translate(20.5 23) rotate(180)"1387 fill="none" stroke="#666" stroke-width="2" />1388 <g id="n32-caret-left-container" fill="none" stroke="#666"1389 stroke-width="2" opacity="0">1390 <rect width="32" height="32" stroke="none" />1391 <rect x="1" y="1" width="30" height="30" fill="none" />1392 </g>1393 </symbol>1394 1395 <symbol id="n24-cart" viewBox="0 0 24 24">1396 <title id="shopping_cart">Shopping Cart</title>1397 <desc>Click to see cart items</desc>1398 <defs>1399 <style>1400.n24-icon-cart-bg {1401 opacity: 0;1402}14031404.n24-icon-cart-stroke {1405 fill: none;1406 stroke: #666;1407 stroke-miterlimit: 10;1408 stroke-width: 1.5px;1409}1410</style></defs>1411 <g id="n24-icon-cart-icon">1412 <g id="n24-icon-cart-boundary" class="n24-icon-cart-bg">1413 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" /></g>1414 <polyline class="n24-icon-cart-stroke"1415 points="1.5 3.75 4.894 3.75 7.707 14.25 16.5 14.25" />1416 <circle class="n24-icon-cart-stroke" cx="8.25"1417 cy="18.75001" r="1.5" />1418 <circle class="n24-icon-cart-stroke" cx="15.75"1419 cy="18.75001" r="1.5" />1420 <polyline class="n24-icon-cart-stroke"1421 points="5.295 5.25 18.714 5.25 17.142 11.25 6.903 11.25" />1422 </g>1423 </symbol>1424 1425 <symbol id="n24-search" viewBox="0 0 24 24">1426 <title id="search">Search icon</title>1427 <desc>Click to search</desc>1428 <defs>1429 <style>1430.n24-icon-search-bg {1431 opacity: 0;1432}14331434.n24-icon-search-fill {1435 fill: #666;1436}14371438.n24-icon-search-stroke {1439 fill: none;1440 stroke: #666;1441 stroke-miterlimit: 10;1442 stroke-width: 1.5px;1443}1444</style></defs>1445 <g id="n24-icon-search-icon">1446 <g id="n24-icon-search-boundary" class="n24-icon-search-bg">1447 <path d="M22.5,1.5v21H1.5V1.5h21M24,0H0V24H24V0Z" /></g>1448 <path class="n24-icon-search-fill"1449 d="M9.9,4.05A5.85,5.85,0,1,1,4.05,9.9,5.8566,5.8566,0,0,1,9.9,4.05m0-1.5A7.35,7.35,0,1,0,17.25,9.9,7.35,7.35,0,0,0,9.9,2.55Z" />1450 <line class="n24-icon-search-stroke" x1="15" y1="15"1451 x2="19.875" y2="19.875" />1452 </g>1453 </symbol>1454 1455 <symbol id="n24-user-circle" viewBox="0 0 24 24">1456 <defs>1457 <style>1458.n24-user-circle-cls-1 {1459 fill: none;1460 stroke: #666;1461 stroke-miterlimit: 10;1462 stroke-width: 1.5px;1463}14641465.n24-bounds {1466 fill: none;1467}1468</style></defs>1469 <rect id="n24-icon-user-circle-bounds" class="n24-bounds"1470 width="24" height="24" />1471 <g id="n24-icon-user-circle">1472 <circle id="user-circle" class="n24-user-circle-cls-1"1473 cx="12" cy="12" r="9.75" />1474 <polyline id="user-body" class="n24-user-circle-cls-1"1475 points="17.55 20.01 16.34 15.48 7.66 15.48 6.45 20.01" />1476 <circle id="user-head" class="n24-user-circle-cls-1"1477 cx="12" cy="9.91" r="3.48" />1478 </g>1479 </symbol>1480 1481 </svg>14821483148414851486 1487 1488 1489 1490 <nav class="global-nav brand-nav-2 nav-light-mode" id="meganavigation4e6095b6_0b8c_42b2_a5c2_d129600f3f24">1491 1492 1493 1494 14951496 1497 <!-- Geo Locator Starts -->1498 1499<div class="geo-locator hide">1500 <div class="geo-locator-container">1501 <div class="geo-locator-text">1502 <p>Visit your regional NVIDIA website for local content, pricing, and where to buy partners specific to your country.</p>1503 </div>1504 <div class="geo-locator-actions">1505 <div class="geo-locator-dropdown">1506 <select id="country-selector" aria-label="Select your country">1507 <option value="/es-la/" data-country="ar">Argentina</option>1508 <option value="/en-au/" data-country="au">Australia</option>1509 <option value="/nl-nl/" data-country="be-nl">België (Belgium)</option>1510 <option value="/fr-be/" data-country="be-fr">Belgique (Belgium)</option>1511 <option value="/pt-br/" data-country="br">Brasil (Brazil)</option>1512 <option value="/en-us/" data-country="ca">Canada</option>1513 <option value="/cs-cz/" data-country="cz">Česká Republika (Czech Republic)</option>1514 <option value="/es-la/" data-country="cl">Chile</option>1515 <option value="/es-la/" data-country="co">Colombia</option>1516 <option value="/da-dk/" data-country="dk">Danmark (Denmark)</option>1517 <option value="/de-de/" data-country="de">Deutschland (Germany)</option>1518 <option value="/es-es/" data-country="es">España (Spain)</option>1519 <option value="/fr-fr/" data-country="fr">France</option>1520 <option value="/en-in/" data-country="in">India</option>1521 <option value="/it-it/" data-country="it">Italia (Italy)</option>1522 <option value="/es-la/" data-country="mx">México (Mexico)</option>1523 <option value="/en-me/" data-country="me">Middle East</option>1524 <option value="/nl-nl/" data-country="nl">Nederland (Netherlands)</option>1525 <option value="/nb-no/" data-country="no">Norge (Norway)</option>1526 <option value="/de-at/" data-country="at">Österreich (Austria)</option>1527 <option value="/es-la/" data-country="pe">Peru</option>1528 <option value="/pl-pl/" data-country="pl">Polska (Poland)</option>1529 <option value="/en-eu/" data-country="eu">Rest of Europe</option>1530 <option value="/ro-ro/" data-country="ro">România (Romania)</option>1531 <option value="/en-sg/" data-country="sg">Singapore</option>1532 <option value="/fi-fi/" data-country="fi">Suomi (Finland)</option>1533 <option value="/sv-se/" data-country="se">Sverige (Sweden)</option>1534 <option value="/tr-tr/" data-country="tr">Türkiye (Turkey)</option>1535 <option value="/en-gb/" data-country="gb">United Kingdom</option>1536 <option value="/en-us/" data-country="us">United States</option>1537 <option value="/ko-kr/" data-country="kr">대한민국 (South Korea)</option>1538 <option value="/zh-cn/" data-country="cn">中国大陆 (Mainland China)</option>1539 <option value="/zh-tw/" data-country="tw">台灣 (Taiwan)</option>1540 <option value="/ja-jp/" data-country="jp">日本 (Japan)</option>1541 </select> 1542 <span class="fa-light fa-chevron-down"></span>1543 </div>1544 <div class="geo-locator-cta">1545 <div class="nv-button button nv-button-small nv-no-left-padding nv-no-right-padding nv-no-top-padding nv-no-bottom-padding">1546 <div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">1547 <a class="btn-content btncta" rel="noopener noreferrer" href="https://www.nvidia.com">1548 <span class="btn-text">Continue</span>1549 </a>1550 </div>1551 </div>1552 <button class="close-button">1553 <span class="fa-light fa-xmark-large"></span>1554 </button>1555 </div>1556 </div>1557 </div> 1558</div>155915601561<script type="text/javascript">1562 (() => {1563 const countrySelector = document.querySelector('#country-selector');1564 const GEO_LOCATOR_COOKIE_NAME = 'geo_locator';1565 const DISMISSAL_DAYS = 7;1566 1567 // Get cookie value by name1568 const getCookie = (name) => {1569 const value = `; ${document.cookie}`;1570 const parts = value.split(`; ${name}=`);1571 return parts.length === 2 ? parts.pop().split(";").shift() : null;1572 };1573 1574 // Set cookie with expiration and domain1575 const setCookie = (name, value, days) => {1576 const date = new Date();1577 date.setTime(date.getTime() + (days * 24 * 60 * 60 * 1000));1578 const expires = `expires=${date.toUTCString()}`;1579 document.cookie = `${name}=${value};${expires};domain=.nvidia.com;path=/`;1580 };1581 1582 // Get geo locator cookie data1583 const getGeoLocatorCookie = () => {1584 const cookieValue = getCookie(GEO_LOCATOR_COOKIE_NAME);1585 if (!cookieValue) return null;1586 try {1587 return JSON.parse(cookieValue);1588 } catch (e) {1589 return null;1590 }1591 };1592 1593 // Set geo locator cookie data1594 const setGeoLocatorCookie = (data) => {1595 setCookie(GEO_LOCATOR_COOKIE_NAME, JSON.stringify(data), DISMISSAL_DAYS);1596 };1597 1598 // Check if Geo Locator was dismissed1599 const isDismissed = () => {1600 const cookieData = getGeoLocatorCookie();1601 return cookieData && cookieData.dismissed === true;1602 };1603 1604 // Set dismissal status1605 const setDismissed = () => {1606 const existingData = getGeoLocatorCookie() || {};1607 const updatedData = {1608 ...existingData,1609 dismissed: true,1610 dismissedAt: new Date().toISOString()1611 };1612 setGeoLocatorCookie(updatedData);1613 };1614 1615 // Update select option values based on <link rel="alternate"> in head.1616 const updateOptionValuesFromHead = () => {1617 const alternateLinks = document.querySelectorAll('head link[rel="alternate"][hreflang][href]');1618 if (!alternateLinks.length) return;1619 if (!countrySelector) return;1620 Array.from(countrySelector.options).forEach(option => {1621 const optCountry = option.getAttribute('data-country');1622 if (!optCountry) return;1623 alternateLinks.forEach(link => {1624 const hreflang = link.getAttribute('hreflang');1625 if (hreflang && hreflang.includes('-') && hreflang.toLowerCase().endsWith(`-${optCountry.toLowerCase()}`)) {1626 option.value = link.getAttribute('href');1627 }1628 });1629 });1630 };1631 1632 // Fetch translations from the GraphQL endpoint.1633 const fetchTranslations = () => 1634 fetch('/graphql/execute.json/geo-locator/translations')1635 .then(response => response.json())1636 .then(data => data.data.geoLocatorList.items)1637 .catch(err => {1638 console.error('Error fetching translations:', err);1639 return [];1640 });1641 1642 // Check current path against master.disableGeoLocRegExps1643 const matchesDisableByRegex = (translations) => {1644 const master = translations.find(item => item._variation === 'master');1645 if (!master || !Array.isArray(master.disableGeoLocRegExps)) return false;16461647 const path = window.location.pathname;1648 return master.disableGeoLocRegExps.some(pattern => {1649 try {1650 const rx = new RegExp(pattern);1651 return rx.test(path);1652 } catch (err) {1653 console.error('Invalid regex in disableGeoLocRegExps:', pattern, err);1654 return false;1655 }1656 });1657 };16581659 const getUserGeoLocatorFlag = (translations, userRegion) => {1660 const t = translations.find(item => {1661 if (item._variation.includes('-')) {1662 const regionPart = item._variation.split('-')[1].toUpperCase();1663 return regionPart === userRegion.toUpperCase();1664 }1665 return false;1666 });1667 return t?.disableGeoLocatorUserRegion;1668 };16691670 const getGeoLocatorFlag = (translations, pageRegion) => {1671 const translation = translations.find(item => {1672 if (item._variation.includes('-')) {1673 const variantRegion = item._variation.split('-')[1].toUpperCase();1674 return variantRegion === pageRegion.toUpperCase();1675 }1676 return false;1677 });1678 return translation?.disableGeoLocatorPageRegion;1679 };1680 1681 // Select the correct translation by comparing last two characters of _variation with userRegion.1682 const getTranslation = (translations, userRegion) => {1683 let translation = translations.find(item => {1684 if (item._variation.includes('-')) {1685 const variantRegion = item._variation.split('-')[1].toUpperCase();1686 return variantRegion === userRegion.toUpperCase();1687 }1688 return false;1689 });1690 return translation || translations.find(item => item._variation.toLowerCase() === 'master');1691 };1692 1693 // Update the Geo Locator with the fetched translation and update UI.1694 const updateGeoLocator = (translation, userRegion, lookupKey) => {1695 if (!translation || translation?.disableGeoLocatorPageRegionFlag) return;1696 1697 // Check if Geo Locator was dismissed1698 if (isDismissed()) {1699 console.log('Geo Locator was dismissed by user. Will not show for 7 days.');1700 return;1701 }1702 1703 const geoLocator = document.querySelector('.geo-locator');1704 if (!geoLocator) return;1705 1706 // Update the message text1707 const geoLocatorText = geoLocator.querySelector('.geo-locator-text > p');1708 if (geoLocatorText && translation.geoLocatorMessage) {1709 geoLocatorText.textContent = translation.geoLocatorMessage.plaintext;1710 }1711 1712 // Update the Continue button text1713 const continueButton = geoLocator.querySelector('.geo-locator-cta .btn-content');1714 if (continueButton) {1715 continueButton.textContent = translation.continue;1716 }1717 1718 // Update the country dropdown selection to match the user's region1719 if (countrySelector) {1720 // Use lookupKey if provided (for special cases like BE), otherwise use userRegion1721 const countryKey = lookupKey || userRegion.toLowerCase();1722 const optionToSelect = countrySelector.querySelector(`option[data-country="${countryKey}"]`);1723 if (optionToSelect) {1724 optionToSelect.selected = true;1725 // Also update the Continue button's URL based on the selected option1726 if (continueButton) {1727 continueButton.href = optionToSelect.value;1728 }1729 }1730 }1731 1732 // Remove the hide class to display the Geo Locator1733 geoLocator.classList.remove('hide');1734 };1735 1736 // Retrieve user's region from the cookie and page region from the xml:lang attribute.1737 const userRegion = getCookie("c_code");1738 const pageLocale = document.documentElement.getAttribute("xml:lang");1739 let pageRegion = null;1740 if (pageLocale) {1741 const parts = pageLocale.split("-");1742 if (parts.length > 1) pageRegion = parts[1].toUpperCase();1743 }1744 1745 // Only proceed if both userRegion and pageRegion exist and they differ.1746 if (userRegion && pageRegion && userRegion.toUpperCase() !== pageRegion) {1747 // Special case: Skip Geo Locator for Canadian visitors on en-us pages to prevent infinite loop1748 if (userRegion.toUpperCase() === 'CA' && pageLocale && pageLocale.toLowerCase() === 'en-us') {1749 console.log('Skipping Geo Locator for Canadian visitors on en-us locale to prevent infinite loop.');1750 return;1751 }1752 1753 // Special case: Skip Geo Locator for Latin American visitors on es-la pages to prevent infinite loop1754 const latinAmericanCountries = ['MX', 'CO', 'AR', 'PE', 'CL'];1755 if (latinAmericanCountries.includes(userRegion.toUpperCase()) && pageLocale && pageLocale.toLowerCase() === 'es-la') {1756 console.log(`Skipping Geo Locator for ${userRegion} visitors on es-la locale to prevent infinite loop.`);1757 return;1758 }1759 1760 // map BE to be-fr, otherwise use raw1761 let lookupKey = userRegion.toLowerCase();1762 if (lookupKey === 'be') lookupKey = 'be-fr';17631764 // if there's no matching dropdown entry, bail out1765 const userOption = countrySelector.querySelector(`option[data-country="${lookupKey}"]`);1766 // If we don't have a matching dropdown option, skip showing the Geo Locator1767 if (!userOption) return;17681769 updateOptionValuesFromHead();1770 fetchTranslations().then(translations => {1771 if (matchesDisableByRegex(translations)) {1772 console.log('Page path matches disableGeoLocRegExps, skipping Geo Locator.');1773 return;1774 }1775 const pageFlag = getGeoLocatorFlag(translations, pageRegion);1776 const userFlag = getUserGeoLocatorFlag(translations, userRegion);17771778 // only show if neither the page‐region nor the user‐region flag is set1779 if (!pageFlag && !userFlag) {1780 const translation = getTranslation(translations, userRegion);1781 updateGeoLocator(translation, userRegion, lookupKey);1782 }1783 });1784 1785 // Update Continue button URL on dropdown change.1786 if (countrySelector) {1787 countrySelector.addEventListener('change', (e) => {1788 const selectedUrl = e.target.value;1789 const continueButton = document.querySelector('.geo-locator-cta .btn-content');1790 if (continueButton) continueButton.href = selectedUrl;1791 });1792 }1793 1794 // Close button hides the Geo Locator.1795 const closeButton = document.querySelector('.geo-locator .close-button');1796 if (closeButton) {1797 closeButton.addEventListener('click', () => {1798 const geoLocator = document.querySelector('.geo-locator');1799 if (geoLocator) {1800 geoLocator.classList.add('hide');1801 // Set dismissal cookie when user closes the Geo Locator1802 setDismissed();1803 console.log('Geo Locator dismissed. Will not show for 7 days.');1804 }1805 });1806 }1807 } else {1808 // If there's no mismatch, do nothing or log as needed.1809 console.log("User region and page region match, or data is missing. Geo Locator will not be shown.");1810 }1811 })();1812</script>181318141815 <!-- Geo Locator Ends -->1816 1817 <div class="nav-header desktop-nav">1818 <a class="skip-main" href="#page-content"><span>Skip to main content</span></a>1819 <div class="nav-header-container">1820 <div class="brand-container">182118221823 <a class="brand-link pull-left nvidia-logo" href="https://www.nvidia.com/en-us/" title='Artificial Intelligence Computing Leadership from NVIDIA' aria-label='Artificial Intelligence Computing Leadership from NVIDIA' aria-labelledby="nvidia_logo_desktop">1824 1825 1826 1827 <svg xmlns="http://www.w3.org/2000/svg" width="117" height="35" viewBox="0 0 117 35" fill="none">1828 <title>Artificial Intelligence Computing Leadership from NVIDIA</title>1829 <path d="M66.4201 15.476V29.238H70.2437V15.476H66.4201ZM36.3477 15.4573V29.238H40.2045V18.5408L43.2134 18.5513C44.2026 18.5513 44.8877 18.7928 45.3639 19.3097C45.9686 19.9653 46.2154 21.0212 46.2154 22.9532V29.238H49.9518V21.6243C49.9518 16.19 46.5447 15.4573 43.2122 15.4573H36.3477ZM72.5755 15.476V29.2368H78.7757C82.0795 29.2368 83.157 28.678 84.3241 27.4262C85.148 26.5465 85.6804 24.6168 85.6804 22.5075C85.6804 20.5732 85.2295 18.8477 84.4434 17.7732C83.0273 15.8517 80.987 15.476 77.9403 15.476H72.5755ZM76.367 18.472H78.0103C80.3949 18.472 81.9372 19.5605 81.9372 22.385C81.9372 25.2095 80.3949 26.2992 78.0103 26.2992H76.367V18.472ZM60.9085 15.476L57.7183 26.382L54.6613 15.476H50.5347L54.9011 29.2368H60.4104L64.8113 15.476H60.9096H60.9085ZM87.4591 29.2368H91.2827V15.476H87.458V29.2368H87.4591ZM98.176 15.4807L92.8377 29.2322H96.6073L97.4519 26.802H103.769L104.569 29.2322H108.661L103.283 15.4795H98.176V15.4807ZM100.657 17.9902L102.973 24.4325H98.2678L100.657 17.9902Z" fill="black"/>1830 <path d="M11.6925 17.7697V15.8762C11.8738 15.8633 12.0563 15.8528 12.2422 15.847C17.3372 15.6837 20.68 20.2978 20.68 20.2978C20.68 20.2978 17.0699 25.3962 13.1992 25.3962C12.6415 25.3962 12.1423 25.3052 11.6925 25.1511V19.4077C13.6766 19.6515 14.0748 20.5417 15.2671 22.5623L17.919 20.2885C17.919 20.2885 15.9831 17.7067 12.7195 17.7067C12.3649 17.7067 12.0253 17.7323 11.6913 17.7685L11.6925 17.7697ZM11.6913 11.5128V14.342C11.8738 14.3268 12.0574 14.3152 12.241 14.3082C19.3259 14.0655 23.9425 20.2162 23.9425 20.2162C23.9425 20.2162 18.6408 26.7705 13.1166 26.7705C12.6105 26.7705 12.1366 26.7227 11.6913 26.6433V28.3922C12.0723 28.4412 12.4671 28.4703 12.8779 28.4703C18.0177 28.4703 21.7358 25.8021 25.3356 22.6428C25.9323 23.1281 28.3754 24.31 28.8781 24.828C25.4549 27.7412 17.4795 30.0885 12.9571 30.0885C12.521 30.0885 12.1022 30.0617 11.6913 30.022V32.479H31.2282V11.514H11.6925L11.6913 11.5128ZM11.6913 25.15V26.6433C6.93708 25.7812 5.6174 20.7575 5.6174 20.7575C5.6174 20.7575 7.89986 18.1862 11.6913 17.7697V19.4077C11.6913 19.4077 11.6867 19.4077 11.6845 19.4077C9.69462 19.165 8.14085 21.055 8.14085 21.055C8.14085 21.055 9.01183 24.2365 11.6925 25.1523L11.6913 25.15ZM3.24888 20.5417C3.24888 20.5417 6.06609 16.3148 11.6925 15.8773V14.3443C5.46134 14.853 0.0644531 20.2185 0.0644531 20.2185C0.0644531 20.2185 3.12036 29.2018 11.6925 30.0243V28.3945C5.40167 27.5895 3.24888 20.5417 3.24888 20.5417Z" fill="#76B900"/>1831 </svg>1832 1833 1834 </a>183518361837 </div>18381839 <!-- Mega menu code start -->18401841 <div class="navoverlay"></div>18421843 1844 1845 1846 <input type="radio" name="nv-tab-level-1"1847 value="nv-level1-tab1"1848 id="nv-level1-tab1" class="main-menu" />1849 1850 1851 <input type="radio" name="nv-tab-level-1"1852 value="nv-level1-tab2"1853 id="nv-level1-tab2" class="main-menu" />1854 1855 1856 <input type="radio" name="nv-tab-level-1"1857 value="nv-level1-tab3"1858 id="nv-level1-tab3" class="main-menu" />1859 1860 1861 <input type="radio" name="nv-tab-level-1"1862 value="nv-level1-tab4"1863 id="nv-level1-tab4" class="main-menu" />1864 1865 1866 <input type="radio" name="nv-tab-level-1"1867 value="nv-level1-tab5"1868 id="nv-level1-tab5" class="main-menu" />1869 1870 1871 <input type="radio" name="nv-tab-level-1"1872 value="nv-level1-tab6"1873 id="nv-level1-tab6" class="main-menu" />1874 1875 1876 <input type="radio" name="nv-tab-level-1"1877 value="nv-level1-tab7"1878 id="nv-level1-tab7" class="main-menu" />1879 18801881 1882 18831884 <div class="nv-nav-container nv-menu">18851886 188718881889 <ul id='main-menu-navigation' class="nv-menu-list left" aria-label="menu" role="menu">1890 1891 1892 18931894 1895 1896 <li data-num="1" class=" nv-menu-item tmenu brand-nav-title" role="menuitem" aria-haspopup="true" aria-expanded="false">1897 1898 1899 19001901 1902 1903 1904 1905 1906 <label for="nv-level1-tab1" tabindex="0" class="nv-menu-button menu-level-1">1907 <a href="https://www.nvidia.com/en-us/data-center/">Cloud and Data Center </a>1908 </label>1909 1910 1911 1912 1913 1914 1915 1916 1917 1918 1919 <div class="nv-n-n25 ">1920 1921 1922 1923 1924 1925 1926 <div class="nv-menu3-container nv-level1-tab1 one-lvl">1927 <div class="nav-row-container">1928 <div class="level-menu3">1929 <div class="menu3-items">1930 1931 1932 </div>1933 </div>1934 </div>1935 </div>1936 1937 1938 1939 </div>1940 1941 1942 1943 1944 1945 </li>1946 1947 1948 19491950 1951 1952 1953 <li data-num="2" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">1954 1955 19561957 1958 1959 1960 1961 1962 <label for="nv-level1-tab2" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">1963 Solutions1964 1965 1966 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">1967 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>1968 </svg>1969 1970 </label>1971 1972 1973 1974 1975 1976 1977 1978 1979 1980 1981 <div class="nv-n-n25 ">1982 1983 1984 1985 1986 1987 1988 <div class="nv-menu3-container nv-level1-tab2 one-lvl">1989 <div class="nav-row-container">1990 <div class="level-menu3">1991 <div class="menu3-items">1992 1993 1994 1995 <div id="menu2-tab1" class="menu3-items-container active">1996 <span class="h2-style">Solutions</span>1997 <div class="menu3-item">1998 1999 <div class="menu3-item-card"> 2000 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/solutions/accelerated-computing/" target="_self">2001 <div class="nv-button button nv-button-text nv-button-caret">2002 <div class="btn-content btncta">2003 <span class="btn-text">Accelerated Computing</span>2004 </div>2005 </div>2006 2007 <p>Accelerate enterprise IT and AI workloads with data center solutions</p>2008 2009 </a>2010 </div>2011 2012 <div class="menu3-item-card"> 2013 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/ai-data-platform/" target="_self">2014 <div class="nv-button button nv-button-text nv-button-caret">2015 <div class="btn-content btncta">2016 <span class="btn-text">AI Data Platform for Enterprise</span>2017 </div>2018 </div>2019 2020 <p>Unify and accelerate enterprise AI workloads with a full-stack data platform</p>2021 2022 </a>2023 </div>2024 2025 <div class="menu3-item-card"> 2026 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/solutions/ai-factories/" target="_self">2027 <div class="nv-button button nv-button-text nv-button-caret">2028 <div class="btn-content btncta">2029 <span class="btn-text">AI Factory</span>2030 </div>2031 </div>2032 2033 <p>Accelerate and deploy large-scale AI with full-stack factory solutions</p>2034 2035 </a>2036 </div>2037 2038 <div class="menu3-item-card"> 2039 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/" target="_self">2040 <div class="nv-button button nv-button-text nv-button-caret">2041 <div class="btn-content btncta">2042 <span class="btn-text">Cloud Computing</span>2043 </div>2044 </div>2045 2046 <p>Unleash enterprise AI and HPC with scalable accelerated cloud solutions</p>2047 2048 </a>2049 </div>2050 2051 <div class="menu3-item-card"> 2052 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/edge-computing/" target="_self">2053 <div class="nv-button button nv-button-text nv-button-caret">2054 <div class="btn-content btncta">2055 <span class="btn-text">Edge Computing</span>2056 </div>2057 </div>2058 2059 <p>Accelerate AI, robotics, and IoT with scalable edge computing</p>2060 2061 </a>2062 </div>2063 2064 <div class="menu3-item-card"> 2065 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/high-performance-computing/" target="_self">2066 <div class="nv-button button nv-button-text nv-button-caret">2067 <div class="btn-content btncta">2068 <span class="btn-text">High Performance Computing</span>2069 </div>2070 </div>2071 2072 <p>Advance discovery with energy‑efficient high‑performance computing</p>2073 2074 </a>2075 </div>2076 2077 <div class="menu3-item-card"> 2078 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/solutions/mlops/" target="_self">2079 <div class="nv-button button nv-button-text nv-button-caret">2080 <div class="btn-content btncta">2081 <span class="btn-text">MLOps</span>2082 </div>2083 </div>2084 2085 <p>Scale AI solutions with enterprise MLOps tools, automation, and software</p>2086 2087 </a>2088 </div>2089 2090 <div class="menu3-item-card"> 2091 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/networking/" target="_self">2092 <div class="nv-button button nv-button-text nv-button-caret">2093 <div class="btn-content btncta">2094 <span class="btn-text">Networking</span>2095 </div>2096 </div>2097 2098 <p>Networking for high-performance, scalable, and secure AI data centers</p>2099 2100 </a>2101 </div>2102 2103 <div class="menu3-item-card"> 2104 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/dgx-platform/" target="_self">2105 <div class="nv-button button nv-button-text nv-button-caret">2106 <div class="btn-content btncta">2107 <span class="btn-text">DGX Platform</span>2108 </div>2109 </div>2110 2111 <p>Build next-generation AI factories for enterprises</p>2112 2113 </a>2114 </div>2115 2116 <div class="menu3-item-card"> 2117 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/dgx-cloud/" target="_self">2118 <div class="nv-button button nv-button-text nv-button-caret">2119 <div class="btn-content btncta">2120 <span class="btn-text">DGX Cloud</span>2121 </div>2122 </div>2123 2124 <p>NVIDIA’s AI factory in the cloud</p>2125 2126 </a>2127 </div>2128 2129 </div>2130 </div>2131 2132 </div>2133 </div>2134 </div>2135 </div>2136 2137 2138 2139 </div>2140 2141 2142 2143 2144 2145 </li>2146 2147 2148 21492150 2151 2152 2153 <li data-num="3" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">2154 2155 21562157 2158 2159 2160 2161 2162 <label for="nv-level1-tab3" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">2163 Products2164 2165 2166 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">2167 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>2168 </svg>2169 2170 </label>2171 2172 2173 2174 2175 2176 2177 2178 2179 2180 2181 <div class="nv-n-n25 ">2182 2183 2184 2185 2186 2187 2188 <div class="nv-menu3-container nv-level1-tab3 one-lvl">2189 <div class="nav-row-container">2190 <div class="level-menu3">2191 <div class="menu3-items">2192 2193 2194 2195 <div id="menu3-tab1" class="menu3-items-container active">2196 <span class="h2-style">Products</span>2197 <div class="menu3-item">2198 2199 <div class="menu3-item-card"> 2200 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/" target="_self">2201 <div class="nv-button button nv-button-text nv-button-caret">2202 <div class="btn-content btncta">2203 <span class="btn-text">Overview</span>2204 </div>2205 </div>2206 2207 <p>Accelerate AI, machine learning, and HPC with advanced data center platforms</p>2208 2209 </a>2210 </div>2211 2212 <div class="menu3-item-card"> 2213 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/" target="_self">2214 <div class="nv-button button nv-button-text nv-button-caret">2215 <div class="btn-content btncta">2216 <span class="btn-text">Vera Rubin NVL72</span>2217 </div>2218 </div>2219 2220 <p>Rack-Scale Agentic AI Supercomputer</p>2221 2222 </a>2223 </div>2224 2225 <div class="menu3-item-card"> 2226 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/lpx/" target="_self">2227 <div class="nv-button button nv-button-text nv-button-caret">2228 <div class="btn-content btncta">2229 <span class="btn-text">LPX</span>2230 </div>2231 </div>2232 2233 <p>Fast inference with full intelligence at scale</p>2234 2235 </a>2236 </div>2237 2238 <div class="menu3-item-card"> 2239 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/dgx-superpod/" target="_self">2240 <div class="nv-button button nv-button-text nv-button-caret">2241 <div class="btn-content btncta">2242 <span class="btn-text">DGX SuperPOD</span>2243 </div>2244 </div>2245 2246 <p>Full-stack blueprint for gigascale AI infrastructure</p>2247 2248 </a>2249 </div>2250 2251 <div class="menu3-item-card"> 2252 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/gb300-nvl72/" target="_self">2253 <div class="nv-button button nv-button-text nv-button-caret">2254 <div class="btn-content btncta">2255 <span class="btn-text">GB300 NVL72</span>2256 </div>2257 </div>2258 2259 <p>GB300 NVL72 rack-scale system built for the age of AI reasoning</p>2260 2261 </a>2262 </div>2263 2264 <div class="menu3-item-card"> 2265 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/hgx/" target="_self">2266 <div class="nv-button button nv-button-text nv-button-caret">2267 <div class="btn-content btncta">2268 <span class="btn-text">HGX</span>2269 </div>2270 </div>2271 2272 <p>HGX platform specs for multi‑GPU AI, HPC, and simulation workloads</p>2273 2274 </a>2275 </div>2276 2277 <div class="menu3-item-card"> 2278 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/grace-cpu/" target="_self">2279 <div class="nv-button button nv-button-text nv-button-caret">2280 <div class="btn-content btncta">2281 <span class="btn-text">CPU</span>2282 </div>2283 </div>2284 2285 <p>Architecture for data centers that transform data into intelligence</p>2286 2287 </a>2288 </div>2289 2290 <div class="menu3-item-card"> 2291 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/" target="_self">2292 <div class="nv-button button nv-button-text nv-button-caret">2293 <div class="btn-content btncta">2294 <span class="btn-text">GB200 NVL72</span>2295 </div>2296 </div>2297 2298 <p>GB200 NVL72 for scalable LLM inference and advanced AI data center needs</p>2299 2300 </a>2301 </div>2302 2303 <div class="menu3-item-card"> 2304 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/rtx-pro-server/" target="_self">2305 <div class="nv-button button nv-button-text nv-button-caret">2306 <div class="btn-content btncta">2307 <span class="btn-text">RTX PRO Server</span>2308 </div>2309 </div>2310 2311 <p>Universal data center platform for enterprise AI and industrial AI</p>2312 2313 </a>2314 </div>2315 2316 <div class="menu3-item-card"> 2317 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000-family/" target="_self">2318 <div class="nv-button button nv-button-text nv-button-caret">2319 <div class="btn-content btncta">2320 <span class="btn-text">RTX PRO 6000 Blackwell</span>2321 </div>2322 </div>2323 2324 <p>RTX PRO 6000 specs for professional AI, graphics, and visual computing tasks</p>2325 2326 </a>2327 </div>2328 2329 <div class="menu3-item-card"> 2330 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/dgx-basepod/" target="_self">2331 <div class="nv-button button nv-button-text nv-button-caret">2332 <div class="btn-content btncta">2333 <span class="btn-text">DGX BasePOD</span>2334 </div>2335 </div>2336 2337 <p>Reference architecture for building and scaling AI infrastructure</p>2338 2339 </a>2340 </div>2341 2342 <div class="menu3-item-card"> 2343 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/dsx/" target="_self">2344 <div class="nv-button button nv-button-text nv-button-caret">2345 <div class="btn-content btncta">2346 <span class="btn-text">DSX Platform</span>2347 </div>2348 </div>2349 2350 <p>Build AI factories optimized for lowest cost tokens per megawatt</p>2351 2352 </a>2353 </div>2354 2355 </div>2356 </div>2357 2358 </div>2359 </div>2360 </div>2361 </div>2362 2363 2364 2365 </div>2366 2367 2368 2369 2370 2371 </li>2372 2373 2374 23752376 2377 2378 2379 <li data-num="4" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">2380 2381 23822383 2384 2385 2386 2387 2388 <label for="nv-level1-tab4" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">2389 Software2390 2391 2392 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">2393 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>2394 </svg>2395 2396 </label>2397 2398 2399 2400 2401 2402 2403 2404 2405 2406 2407 <div class="nv-n-n25 ">2408 2409 2410 2411 2412 2413 2414 <div class="nv-menu3-container nv-level1-tab4 one-lvl">2415 <div class="nav-row-container">2416 <div class="level-menu3">2417 <div class="menu3-items">2418 2419 2420 2421 <div id="menu4-tab1" class="menu3-items-container active">2422 <span class="h2-style">Software</span>2423 <div class="menu3-item">2424 2425 <div class="menu3-item-card"> 2426 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/" target="_self">2427 <div class="nv-button button nv-button-text nv-button-caret">2428 <div class="btn-content btncta">2429 <span class="btn-text">AI Enterprise Suite</span>2430 </div>2431 </div>2432 2433 <p>Enterprise AI software suite for data center deployments</p>2434 2435 </a>2436 </div>2437 2438 <div class="menu3-item-card"> 2439 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/base-command/manager/" target="_self">2440 <div class="nv-button button nv-button-text nv-button-caret">2441 <div class="btn-content btncta">2442 <span class="btn-text">Base Command Manager</span>2443 </div>2444 </div>2445 2446 <p>Centralized platform to manage and monitor AI workloads in data centers</p>2447 2448 </a>2449 </div>2450 2451 <div class="menu3-item-card"> 2452 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/technologies/cuda-x/" target="_self">2453 <div class="nv-button button nv-button-text nv-button-caret">2454 <div class="btn-content btncta">2455 <span class="btn-text">CUDA-X</span>2456 </div>2457 </div>2458 2459 <p>GPU-accelerated libraries and tools for AI, HPC, and data processing</p>2460 2461 </a>2462 </div>2463 2464 <div class="menu3-item-card"> 2465 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/virtual-solutions/" target="_self">2466 <div class="nv-button button nv-button-text nv-button-caret">2467 <div class="btn-content btncta">2468 <span class="btn-text">Virtualization</span>2469 </div>2470 </div>2471 2472 <p>GPU virtualization software to accelerate and manage virtualized environments</p>2473 2474 </a>2475 </div>2476 2477 <div class="menu3-item-card"> 2478 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/accelerated-applications/" target="_self">2479 <div class="nv-button button nv-button-text nv-button-caret">2480 <div class="btn-content btncta">2481 <span class="btn-text">Accelerated Apps Catalog</span>2482 </div>2483 </div>2484 2485 <p>Browse DPU- and GPU-accelerated apps, tools, and services</p>2486 2487 </a>2488 </div>2489 2490 <div class="menu3-item-card"> 2491 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/mission-control/" target="_self">2492 <div class="nv-button button nv-button-text nv-button-caret">2493 <div class="btn-content btncta">2494 <span class="btn-text">Mission Control</span>2495 </div>2496 </div>2497 2498 <p>Powers AI factory operations from developer workloads to infrastructure</p>2499 2500 </a>2501 </div>2502 2503 <div class="menu3-item-card"> 2504 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/software/run-ai/" target="_self">2505 <div class="nv-button button nv-button-text nv-button-caret">2506 <div class="btn-content btncta">2507 <span class="btn-text">NVIDIA Run:ai</span>2508 </div>2509 </div>2510 2511 <p>AI Workload and GPU Orchestration</p>2512 2513 </a>2514 </div>2515 2516 </div>2517 </div>2518 2519 </div>2520 </div>2521 </div>2522 </div>2523 2524 2525 2526 </div>2527 2528 2529 2530 2531 2532 </li>2533 2534 2535 25362537 2538 2539 2540 <li data-num="5" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">2541 2542 25432544 2545 2546 2547 2548 2549 <label for="nv-level1-tab5" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">2550 Architectures2551 2552 2553 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">2554 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>2555 </svg>2556 2557 </label>2558 2559 2560 2561 2562 2563 2564 2565 2566 2567 2568 <div class="nv-n-n25 ">2569 2570 2571 2572 2573 2574 2575 <div class="nv-menu3-container nv-level1-tab5 one-lvl">2576 <div class="nav-row-container">2577 <div class="level-menu3">2578 <div class="menu3-items">2579 2580 2581 2582 <div id="menu5-tab1" class="menu3-items-container active">2583 <span class="h2-style">Architectures</span>2584 <div class="menu3-item">2585 2586 <div class="menu3-item-card"> 2587 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/technologies/rubin/" target="_self">2588 <div class="nv-button button nv-button-text nv-button-caret">2589 <div class="btn-content btncta">2590 <span class="btn-text">Vera Rubin Platform</span>2591 </div>2592 </div>2593 2594 <p>Infrastructure for scalable AI reasoning</p>2595 2596 </a>2597 </div>2598 2599 <div class="menu3-item-card"> 2600 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_self">2601 <div class="nv-button button nv-button-text nv-button-caret">2602 <div class="btn-content btncta">2603 <span class="btn-text">Blackwell Architecture</span>2604 </div>2605 </div>2606 2607 <p>The GPU architecture powering AI factories for the age of AI reasoning</p>2608 2609 </a>2610 </div>2611 2612 <div class="menu3-item-card"> 2613 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/" target="_self">2614 <div class="nv-button button nv-button-text nv-button-caret">2615 <div class="btn-content btncta">2616 <span class="btn-text">Hopper Architecture</span>2617 </div>2618 </div>2619 2620 <p>Supercharging AI and HPC workloads for every data center</p>2621 2622 </a>2623 </div>2624 2625 <div class="menu3-item-card"> 2626 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/technologies/ada-architecture/" target="_self">2627 <div class="nv-button button nv-button-text nv-button-caret">2628 <div class="btn-content btncta">2629 <span class="btn-text">Ada Lovelace Architecture</span>2630 </div>2631 </div>2632 2633 <p>Real-time ray tracing and AI for advanced design and visualization</p>2634 2635 </a>2636 </div>2637 2638 <div class="menu3-item-card"> 2639 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/mgx/" target="_self">2640 <div class="nv-button button nv-button-text nv-button-caret">2641 <div class="btn-content btncta">2642 <span class="btn-text">MGX Reference Architecture </span>2643 </div>2644 </div>2645 2646 <p>Modular reference architecture for building accelerated data center servers</p>2647 2648 </a>2649 </div>2650 2651 </div>2652 </div>2653 2654 </div>2655 </div>2656 </div>2657 </div>2658 2659 2660 2661 </div>2662 2663 2664 2665 2666 2667 </li>2668 2669 2670 26712672 2673 2674 2675 <li data-num="6" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">2676 2677 26782679 2680 2681 2682 2683 2684 <label for="nv-level1-tab6" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">2685 Technologies2686 2687 2688 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">2689 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>2690 </svg>2691 2692 </label>2693 2694 2695 2696 2697 2698 2699 2700 2701 2702 2703 <div class="nv-n-n25 ">2704 2705 2706 2707 2708 2709 2710 <div class="nv-menu3-container nv-level1-tab6 one-lvl">2711 <div class="nav-row-container">2712 <div class="level-menu3">2713 <div class="menu3-items">2714 2715 2716 2717 <div id="menu6-tab1" class="menu3-items-container active">2718 <span class="h2-style">Technologies</span>2719 <div class="menu3-item">2720 2721 <div class="menu3-item-card"> 2722 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/nvlink/" target="_self">2723 <div class="nv-button button nv-button-text nv-button-caret">2724 <div class="btn-content btncta">2725 <span class="btn-text">NVLink and NVLink Switch</span>2726 </div>2727 </div>2728 2729 <p>High-speed interconnect for multi-GPU communication and large AI models</p>2730 2731 </a>2732 </div>2733 2734 <div class="menu3-item-card"> 2735 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/nvlink-fusion/" target="_self">2736 <div class="nv-button button nv-button-text nv-button-caret">2737 <div class="btn-content btncta">2738 <span class="btn-text">NVLink Fusion</span>2739 </div>2740 </div>2741 2742 <p>Semi-custom AI infrastructure with industry-proven AI scale-up performance</p>2743 2744 </a>2745 </div>2746 2747 <div class="menu3-item-card"> 2748 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/tensor-cores/" target="_self">2749 <div class="nv-button button nv-button-text nv-button-caret">2750 <div class="btn-content btncta">2751 <span class="btn-text">Tensor Cores</span>2752 </div>2753 </div>2754 2755 <p>Specialized GPU cores that speed up AI and HPC math workloads</p>2756 2757 </a>2758 </div>2759 2760 <div class="menu3-item-card"> 2761 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/" target="_self">2762 <div class="nv-button button nv-button-text nv-button-caret">2763 <div class="btn-content btncta">2764 <span class="btn-text">Multi-Instance GPUs</span>2765 </div>2766 </div>2767 2768 <p>GPU partitioning to securely share one GPU across workloads</p>2769 2770 </a>2771 </div>2772 2773 <div class="menu3-item-card"> 2774 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" target="_self">2775 <div class="nv-button button nv-button-text nv-button-caret">2776 <div class="btn-content btncta">2777 <span class="btn-text">Confidential Computing</span>2778 </div>2779 </div>2780 2781 <p>Secure data and AI models in use</p>2782 2783 </a>2784 </div>2785 2786 </div>2787 </div>2788 2789 </div>2790 </div>2791 </div>2792 </div>2793 2794 2795 2796 </div>2797 2798 2799 2800 2801 2802 </li>2803 2804 2805 28062807 2808 2809 2810 <li data-num="7" class=" nv-menu-item tmenu" role="menuitem" aria-haspopup="true" aria-expanded="false">2811 2812 28132814 2815 2816 2817 2818 2819 <label for="nv-level1-tab7" tabindex="0" class="nv-menu-button menu-level-1 brand-nav-chevron">2820 Resources2821 2822 2823 <svg width="10" height="6" viewBox="0 0 10 6" fill="none" xmlns="http://www.w3.org/2000/svg">2824 <path fill-rule="evenodd" clip-rule="evenodd" d="M5.00004 4.29287L1.35359 0.646423L0.646484 1.35353L5.00004 5.70708L9.35359 1.35353L8.64648 0.646423L5.00004 4.29287Z" fill="#636363"/>2825 </svg>2826 2827 </label>2828 2829 2830 2831 2832 2833 2834 2835 2836 2837 2838 <div class="nv-n-n25 ">2839 2840 2841 2842 2843 2844 2845 <div class="nv-menu3-container nv-level1-tab7 one-lvl">2846 <div class="nav-row-container">2847 <div class="level-menu3">2848 <div class="menu3-items">2849 2850 2851 2852 <div id="menu7-tab1" class="menu3-items-container active">2853 <span class="h2-style">Resources</span>2854 <div class="menu3-item">2855 2856 <div class="menu3-item-card"> 2857 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/resources/" target="_self">2858 <div class="nv-button button nv-button-text nv-button-caret">2859 <div class="btn-content btncta">2860 <span class="btn-text">Resource Hub</span>2861 </div>2862 </div>2863 2864 <p>Resources to build and optimize AI-ready data centers and factories</p>2865 2866 </a>2867 </div>2868 2869 <div class="menu3-item-card"> 2870 <a class="menu3-item-card-content" href="https://docs.nvidia.com/data-center-gpu/line-card.pdf" target="_blank">2871 <div class="nv-button button nv-button-text nv-button-caret">2872 <div class="btn-content btncta">2873 <span class="btn-text">Data Center GPU Line Card</span>2874 </div>2875 </div>2876 2877 <p>Guide to selecting data center GPUs and networking for AI workloads</p>2878 2879 </a>2880 </div>2881 2882 <div class="menu3-item-card"> 2883 <a class="menu3-item-card-content" href="https://resources.nvidia.com/l/en-us-gpu" target="_blank">2884 <div class="nv-button button nv-button-text nv-button-caret">2885 <div class="btn-content btncta">2886 <span class="btn-text">Data Center GPUs Resource Center</span>2887 </div>2888 </div>2889 2890 <p>Documentation and guides for NVIDIA data center GPU products</p>2891 2892 </a>2893 </div>2894 2895 <div class="menu3-item-card"> 2896 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/resources/mlperf-benchmarks/" target="_self">2897 <div class="nv-button button nv-button-text nv-button-caret">2898 <div class="btn-content btncta">2899 <span class="btn-text">MLPerf Benchmarks</span>2900 </div>2901 </div>2902 2903 <p>MLPerf training and inference results for the NVIDIA AI platform</p>2904 2905 </a>2906 </div>2907 2908 <div class="menu3-item-card"> 2909 <a class="menu3-item-card-content" href="https://www.nvidia.com/en-us/data-center/products/certified-systems/" target="_self">2910 <div class="nv-button button nv-button-text nv-button-caret">2911 <div class="btn-content btncta">2912 <span class="btn-text">NVIDIA-Certified Systems</span>2913 </div>2914 </div>2915 2916 <p>Accelerated partner systems delivering certified performance and scale</p>2917 2918 </a>2919 </div>2920 2921 <div class="menu3-item-card"> 2922 <a class="menu3-item-card-content" href="https://marketplace.nvidia.com/en-us/enterprise/qualified-system-catalog/" target="_blank">2923 <div class="nv-button button nv-button-text nv-button-caret">2924 <div class="btn-content btncta">2925 <span class="btn-text">Qualified System Catalog</span>2926 </div>2927 </div>2928 2929 <p>Catalog of qualified servers built with NVIDIA data center GPUs</p>2930 2931 </a>2932 </div>2933 2934 </div>2935 </div>2936 2937 </div>2938 </div>2939 </div>2940 </div>2941 2942 2943 2944 </div>2945 2946 2947 2948 2949 2950 </li>2951 29522953 2954 2955 <li class=" menu-slider-brand2" role="presentation"></li>2956 2957 2958 2959 </ul>29602961 29622963 <ul class="nv-menu-list right" aria-label="menu" role="menu">2964 2965 </ul>2966 </div>29672968 <!-- Mega menu code ends -->29692970 <div class="nav-tools-container">2971 <ul class="nav-header-list" role="list" aria-label="Menu Tools">2972 <div class="searchoverlay"></div>2973 <li class="nav-header-item search-item" role="none">2974 <div class="search-abort-container hide" role="none" id="cancel-nv-search-box">2975 <a href="#" class="search-abort" role="search"> <svg2976 class="n24-icon mega-nav-close-menu-icon"2977 aria-labelledby="search">2978 <use xlink:href="#n24-close" />2979 </svg>2980 </a>2981 </div>2982 </li>2983 <li class="nav-header-item search-item" role="none" id="nv-search-box">2984 <a class="menu-level-1" href="#" aria-haspopup="true" aria-label="Search NVIDIA"> <svg2985 class="n24-icon nav-search-icon" aria-labelledby="search">2986 <use xlink:href="#n24-search" />2987 </svg>2988 </a>2989 2990 2991 </li>2992 2993 <li class="nav-header-item cs-item" id="nv-cs-item" role="none">2994 <a role="button" aria-expanded="false" aria-haspopup="dialog" aria-controls="country-selector-modal" aria-label="Country Selector" class="nav-cs-link menu-level-1" href="#">2995 2996 2997 2998 <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">2999 <path fill-rule="evenodd" clip-rule="evenodd" d="M4.65003 10.5C4.55165 10.9847 4.5 11.4863 4.5 12C4.5 12.5137 4.55165 13.0153 4.65003 13.5H7.55935C7.52023 13.0113 7.5 12.51 7.5 12C7.5 11.49 7.52023 10.9887 7.55935 10.5H4.65003ZM5.12407 9H7.74448C7.94369 7.82124 8.25841 6.75177 8.66557 5.85602C8.78395 5.5956 8.9143 5.34175 9.05649 5.09966C7.3001 5.84986 5.88822 7.25105 5.12407 9ZM12 3C7.02944 3 3 7.02944 3 12C3 16.9706 7.02944 21 12 21C16.9706 21 21 16.9706 21 12C21 7.02944 16.9706 3 12 3ZM12 4.5C11.4394 4.5 10.6869 5.03412 10.0311 6.47672C9.7109 7.18121 9.44812 8.03723 9.26799 9H14.732C14.5519 8.03723 14.2891 7.18121 13.9689 6.47672C13.3131 5.03412 12.5606 4.5 12 4.5ZM16.2555 9C16.0563 7.82124 15.7416 6.75177 15.3344 5.85602C15.2161 5.5956 15.0857 5.34175 14.9435 5.09966C16.6999 5.84986 18.1118 7.25105 18.8759 9H16.2555ZM14.9355 10.5H9.06454C9.02232 10.9837 9 11.4851 9 12C9 12.5149 9.02232 13.0163 9.06454 13.5H14.9355C14.9777 13.0163 15 12.5149 15 12C15 11.4851 14.9777 10.9837 14.9355 10.5ZM16.4407 13.5C16.4798 13.0113 16.5 12.51 16.5 12C16.5 11.49 16.4798 10.9887 16.4407 10.5H19.35C19.4484 10.9847 19.5 11.4863 19.5 12C19.5 12.5137 19.4484 13.0153 19.35 13.5H16.4407ZM14.732 15H9.26799C9.44812 15.9628 9.7109 16.8188 10.0311 17.5233C10.6869 18.9659 11.4394 19.5 12 19.5C12.5606 19.5 13.3131 18.9659 13.9689 17.5233C14.2891 16.8188 14.5519 15.9628 14.732 15ZM14.9435 18.9003C15.0857 18.6583 15.2161 18.4044 15.3344 18.144C15.7416 17.2482 16.0563 16.1788 16.2555 15H18.8759C18.1118 16.749 16.6999 18.1501 14.9435 18.9003ZM9.05648 18.9003C8.9143 18.6583 8.78395 18.4044 8.66557 18.144C8.25841 17.2482 7.94369 16.1788 7.74448 15H5.12407C5.88822 16.749 7.3001 18.1501 9.05648 18.9003Z" fill="#5E5E5E" stroke="white" stroke-width="0.2"/>3000 </svg>3001 3002 3003 <span class="cs-loc-txt">US</span>3004 </a>3005 </li>3006 <div class="cs-overlay hide" aria-hidden="true" tabindex="-1"></div>3007 3008 3009 3010<li class="nav-header-item profile-item">30113012 3013 3014 3015 <div class="navglobicon" id="acc-menu-dropdown" data-sso-enabled="false" data-is-gatted="false" data-login-gate="">3016 <ul>3017 <li id="account-icon-container">3018 <a href="#" class="account-icon account-icon-loading" title='Sign In' id="nvidia-account-default">3019 <div class="account-icon-anonuser">3020 <i class="fa-sharp fa-light fa-circle-user"></i>3021 Sign In3022 </div>3023 <div class="account-icon-loggedinuser">3024 <div class="account-avatar-circle" style="height: 24px; width: 24px;">3025 <span class="account-avatar-initials" id="nv-account-dropdown-initials" style="font-size: 10px"></span>3026 </div>3027 </div>3028 <div class="account-icon-spinner">3029 <span class="fa-sharp fa-light fa-spinner-third"></span>3030 </div>3031 </a>3032 <div id="nv-account-dropdown">3033 <div class="nv-account-dropdown-loggedinuser">3034 <div class="loggedinuser-profile">3035 <div class="account-avatar-circle" style="height: 48px; width: 48px;">3036 <span class="account-avatar-initials" id="nv-account-dropdown-initials" style="font-size: 20px"></span>3037 </div>3038 <div class="loggedinuser-profile-name-email">3039 <div class="nv-account-dropdown-display-name"></div>3040 <div class="nv-account-dropdown-email"></div>3041 </div>3042 </div>3043 3044 <div class="nv-account-dropdown-item">3045 <a href="https://www.nvidia.com/en-us/account/edit-profile/" target="_self" id="alt-account1">3046 <div class="nv-account-dropdown-icon-container"><i class="fa-sharp fa-regular fa-circle-user"></i></div>3047 <span>NVIDIA Account</span>3048 </a>3049 </div>3050 3051 <div class="nv-account-dropdown-item">3052 <a class="nv-account-dropdown-signout" href="/">3053 <div class="nv-account-dropdown-icon-container"><i class="fa-sharp fa-regular fa-arrow-right-from-bracket"></i></div>3054 <span>Logout</span>3055 </a>3056 </div>3057 </div>3058 </div>3059 </li>3060 </ul>3061 </div>3062 3063 3064 3065 </li>306630673068 <li class="nav-header-item hide"><a id="nod-login" style="display: none" href="#"> <span>Log In</span>3069 </a> <a id="nod-logout" style="display: none" href="#"> <span>LogOut</span>3070 </a></li>3071 </ul>3072 </div>3073 </div>3074 </div>3075307630773078 <!-- Mobile navigation starts -->3079 <div class="mobile-nav">3080 <div class="nav-header">30813082 <a class="skip-main" href="#page-content"><span>Skip to main content</span></a>3083 3084 3085 <div class="nav-header-container">3086 3087 <div class="nav-tools-container">3088 <ul class="nav-header-list" role="list">3089 <li class="nav-header-item mobile-menu-button-item">3090 <button id="menu-toggle" class="menu-button mobile-menu-button toplevel"3091 tabindex="0" aria-controls="mobile-menu-navigation" aria-expanded="false" aria-label="Main Menu">3092 <span id="mega-nav-open-menu-icon">3093 <svg class="n24-icon mega-nav-open-menu-icon">3094 <use xlink:href="#n24-menu" />3095 </svg>3096 </span>3097 <span id="mega-nav-close-menu-icon" class="hide">3098 <svg class="n24-icon mega-nav-close-menu-icon">3099 <use xlink:href="#n24-close" />3100 </svg>3101 </span>3102 </button>3103 </li>3104 <div class="searchoverlay"></div>3105 <li class="nav-header-item search-item">3106 <div class="search-abort-container hide" id="cancel-nv-search-box-mobile">3107 <a href="#" class="search-abort">3108 <svg class="n24-icon mega-nav-close-menu-icon" aria-labelledby="search">3109 <use xlink:href="#n24-close" />3110 </svg>3111 </a>3112 </div>3113 </li>3114 <li class="nav-header-item search-item" id="nv-search-box-mobile">3115 <a class="toplevel" href="#" aria-haspopup="true" aria-label="Search NVIDIA">3116 <svg class="n24-icon nav-search-icon">3117 <use xlink:href="#n24-search" />3118 </svg>3119 </a>3120 3121 3122 </li>3123 <li class="nav-header-item brand-container">3124 <a class="brand-link pull-left nvidia-logo toplevel" href="https://www.nvidia.com/en-us/" title='Artificial Intelligence Computing Leadership from NVIDIA' aria-label='Artificial Intelligence Computing Leadership from NVIDIA' aria-labelledby="nvidia_logo_desktop">3125 3126 3127 3128 <svg xmlns="http://www.w3.org/2000/svg" width="117" height="35" viewBox="0 0 117 35" fill="none">3129 <title>Artificial Intelligence Computing Leadership from NVIDIA</title>3130 <path d="M66.4201 15.476V29.238H70.2437V15.476H66.4201ZM36.3477 15.4573V29.238H40.2045V18.5408L43.2134 18.5513C44.2026 18.5513 44.8877 18.7928 45.3639 19.3097C45.9686 19.9653 46.2154 21.0212 46.2154 22.9532V29.238H49.9518V21.6243C49.9518 16.19 46.5447 15.4573 43.2122 15.4573H36.3477ZM72.5755 15.476V29.2368H78.7757C82.0795 29.2368 83.157 28.678 84.3241 27.4262C85.148 26.5465 85.6804 24.6168 85.6804 22.5075C85.6804 20.5732 85.2295 18.8477 84.4434 17.7732C83.0273 15.8517 80.987 15.476 77.9403 15.476H72.5755ZM76.367 18.472H78.0103C80.3949 18.472 81.9372 19.5605 81.9372 22.385C81.9372 25.2095 80.3949 26.2992 78.0103 26.2992H76.367V18.472ZM60.9085 15.476L57.7183 26.382L54.6613 15.476H50.5347L54.9011 29.2368H60.4104L64.8113 15.476H60.9096H60.9085ZM87.4591 29.2368H91.2827V15.476H87.458V29.2368H87.4591ZM98.176 15.4807L92.8377 29.2322H96.6073L97.4519 26.802H103.769L104.569 29.2322H108.661L103.283 15.4795H98.176V15.4807ZM100.657 17.9902L102.973 24.4325H98.2678L100.657 17.9902Z" fill="black"/>3131 <path d="M11.6925 17.7697V15.8762C11.8738 15.8633 12.0563 15.8528 12.2422 15.847C17.3372 15.6837 20.68 20.2978 20.68 20.2978C20.68 20.2978 17.0699 25.3962 13.1992 25.3962C12.6415 25.3962 12.1423 25.3052 11.6925 25.1511V19.4077C13.6766 19.6515 14.0748 20.5417 15.2671 22.5623L17.919 20.2885C17.919 20.2885 15.9831 17.7067 12.7195 17.7067C12.3649 17.7067 12.0253 17.7323 11.6913 17.7685L11.6925 17.7697ZM11.6913 11.5128V14.342C11.8738 14.3268 12.0574 14.3152 12.241 14.3082C19.3259 14.0655 23.9425 20.2162 23.9425 20.2162C23.9425 20.2162 18.6408 26.7705 13.1166 26.7705C12.6105 26.7705 12.1366 26.7227 11.6913 26.6433V28.3922C12.0723 28.4412 12.4671 28.4703 12.8779 28.4703C18.0177 28.4703 21.7358 25.8021 25.3356 22.6428C25.9323 23.1281 28.3754 24.31 28.8781 24.828C25.4549 27.7412 17.4795 30.0885 12.9571 30.0885C12.521 30.0885 12.1022 30.0617 11.6913 30.022V32.479H31.2282V11.514H11.6925L11.6913 11.5128ZM11.6913 25.15V26.6433C6.93708 25.7812 5.6174 20.7575 5.6174 20.7575C5.6174 20.7575 7.89986 18.1862 11.6913 17.7697V19.4077C11.6913 19.4077 11.6867 19.4077 11.6845 19.4077C9.69462 19.165 8.14085 21.055 8.14085 21.055C8.14085 21.055 9.01183 24.2365 11.6925 25.1523L11.6913 25.15ZM3.24888 20.5417C3.24888 20.5417 6.06609 16.3148 11.6925 15.8773V14.3443C5.46134 14.853 0.0644531 20.2185 0.0644531 20.2185C0.0644531 20.2185 3.12036 29.2018 11.6925 30.0243V28.3945C5.40167 27.5895 3.24888 20.5417 3.24888 20.5417Z" fill="#76B900"/>3132 </svg>3133 3134 3135 </a>31363137 </li>3138 <li class="nav-header-item hide nv-cart-item" id="nv-cart-item" role="status">3139 <span class="nav-badge cart-counter">0</span>3140 <a aria-expanded="false" aria-haspopup="true" aria-label="Shopping Cart" class="nav-cart-link toplevel" href="/" role="status">3141 <svg class="n24-icon nvcarticon n24-cart" style="" aria-labelledby="shopping_cart">3142 <use xlink:href="#n24-cart" />3143 </svg> 3144 </a>3145 </li>3146 3147 <li class="nav-header-item cs-item " id="nv-cs-item-mob" role="none">3148 <a role="button" aria-expanded="false" aria-haspopup="dialog" aria-controls="country-selector-modal" aria-label="Country Selector" class="nav-cs-link menu-level-1" href="#">3149 3150 3151 3152 <svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">3153 <path fill-rule="evenodd" clip-rule="evenodd" d="M4.65003 10.5C4.55165 10.9847 4.5 11.4863 4.5 12C4.5 12.5137 4.55165 13.0153 4.65003 13.5H7.55935C7.52023 13.0113 7.5 12.51 7.5 12C7.5 11.49 7.52023 10.9887 7.55935 10.5H4.65003ZM5.12407 9H7.74448C7.94369 7.82124 8.25841 6.75177 8.66557 5.85602C8.78395 5.5956 8.9143 5.34175 9.05649 5.09966C7.3001 5.84986 5.88822 7.25105 5.12407 9ZM12 3C7.02944 3 3 7.02944 3 12C3 16.9706 7.02944 21 12 21C16.9706 21 21 16.9706 21 12C21 7.02944 16.9706 3 12 3ZM12 4.5C11.4394 4.5 10.6869 5.03412 10.0311 6.47672C9.7109 7.18121 9.44812 8.03723 9.26799 9H14.732C14.5519 8.03723 14.2891 7.18121 13.9689 6.47672C13.3131 5.03412 12.5606 4.5 12 4.5ZM16.2555 9C16.0563 7.82124 15.7416 6.75177 15.3344 5.85602C15.2161 5.5956 15.0857 5.34175 14.9435 5.09966C16.6999 5.84986 18.1118 7.25105 18.8759 9H16.2555ZM14.9355 10.5H9.06454C9.02232 10.9837 9 11.4851 9 12C9 12.5149 9.02232 13.0163 9.06454 13.5H14.9355C14.9777 13.0163 15 12.5149 15 12C15 11.4851 14.9777 10.9837 14.9355 10.5ZM16.4407 13.5C16.4798 13.0113 16.5 12.51 16.5 12C16.5 11.49 16.4798 10.9887 16.4407 10.5H19.35C19.4484 10.9847 19.5 11.4863 19.5 12C19.5 12.5137 19.4484 13.0153 19.35 13.5H16.4407ZM14.732 15H9.26799C9.44812 15.9628 9.7109 16.8188 10.0311 17.5233C10.6869 18.9659 11.4394 19.5 12 19.5C12.5606 19.5 13.3131 18.9659 13.9689 17.5233C14.2891 16.8188 14.5519 15.9628 14.732 15ZM14.9435 18.9003C15.0857 18.6583 15.2161 18.4044 15.3344 18.144C15.7416 17.2482 16.0563 16.1788 16.2555 15H18.8759C18.1118 16.749 16.6999 18.1501 14.9435 18.9003ZM9.05648 18.9003C8.9143 18.6583 8.78395 18.4044 8.66557 18.144C8.25841 17.2482 7.94369 16.1788 7.74448 15H5.12407C5.88822 16.749 7.3001 18.1501 9.05648 18.9003Z" fill="#5E5E5E" stroke="white" stroke-width="0.2"/>3154 </svg>3155 3156 3157 <span class="cs-loc-txt">US</span>3158 </a>3159 </li>3160 <li class="nav-header-item cs-item hide-cs-mob-icon " id="nv-cs-item-mob-close" role="none">3161 <span>3162 <svg class="n24-icon mega-nav-close-menu-icon"><use xlink:href="#n24-close"></use></svg>3163 </span>3164 </li>3165 <div class="cs-overlay hide" aria-hidden="true" tabindex="-1"></div>3166 3167 3168 3169 3170 <li class="nav-header-item profile-item account-icon account-icon-loading profile-item" id="acc-menu-dropdown-container-mob">3171 <a href="#" title='Sign In' class="nav-profile-link toplevel" id="nvidia-account-default-mob"> 3172 <div class="account-icon-anonuser">3173 <i class="fa-sharp fa-light fa-circle-user"></i>3174 <span id="account-icon-anonuser-mobile-label">Sign In</span>3175 </div>3176 <div class="account-icon-loggedinuser">3177 <div class="account-avatar-circle" style="height: 24px; width: 24px;">3178 <span class="account-avatar-initials" id="nv-account-dropdown-initials" style="font-size: 10px"></span>3179 </div>3180 </div>3181 <div class="account-icon-spinner">3182 <span class="fa-sharp fa-light fa-spinner-third"></span>3183 </div>3184 </a>3185 <div id="nv-account-dropdown-mob">3186 3187 <div class="nv-account-dropdown-loggedinuser">3188 <div class="loggedinuser-profile">3189 <div class="account-avatar-circle" style="height: 48px; width: 48px;">3190 <span class="account-avatar-initials" id="nv-account-dropdown-initials" style="font-size: 20px"></span>3191 </div>3192 <div class="loggedinuser-profile-name-email">3193 <div class="nv-account-dropdown-display-name"></div>3194 <div class="nv-account-dropdown-email"></div>3195 </div>3196 </div>3197 3198 <div class="nv-account-dropdown-item">3199 <a href="https://www.nvidia.com/en-us/account/edit-profile/" target="_self" id="alt-account1-mob">3200 <div class="nv-account-dropdown-icon-container"><i class="fa-sharp fa-regular fa-circle-user"></i></div>3201 <span>NVIDIA Account</span>3202 </a>3203 </div>3204 3205 <div class="nv-account-dropdown-item">3206 <a class="nv-account-dropdown-signout" href="/">3207 <div class="nv-account-dropdown-icon-container"><i class="fa-sharp fa-regular fa-arrow-right-from-bracket"></i></div>3208 <span>Logout</span>3209 </a>3210 </div>3211 </div>3212 </div>3213 </li>3214 <li class="nav-header-item hide">3215 <a id="nod-login" style="display: none" href="#"><span>Login</span></a>3216 <a id="nod-logout" style="display: none" href="#"><span>LogOut</span></a>3217 </li>3218 3219 3220 </ul>3221 </div>3222 </div>3223</div>32243225<div id="mega-nav" class="mega-nav" role="navigation">3226 <div class="mega-menu hide">32273228 <!-- SVG SYMBOL DEFINITIONS -->32293230 <svg xmlns="http://www.w3.org/2000/svg" class="hide" style="display: none;">32313232 <symbol id="n24-nvidia-logo" viewBox="0 0 108.472 20">3233 <title id="nvidia_logo">NVIDIA</title>3234 <desc>NVIDIA logo</desc>3235 <path id="nvidia-logo-reg"3236 d="M1072.628,253.918v-.3h.192c.105,0,.248.008.248.136s-.073.163-.2.163h-.243m0,.211h.129l.3.524h.327l-.33-.545a.3.3,0,0,0,.311-.323c0-.285-.2-.377-.53-.377h-.482v1.245h.276v-.524m1.4-.1a1.2,1.2,0,1,0-1.2,1.157,1.14,1.14,0,0,0,1.2-1.157m-.347,0a.854.854,0,0,1-.855.891v0a.889.889,0,1,1,.855-.887Z"3237 transform="translate(-965.557 -237.878)" />3238 <path id="nvidia-logo-NVIDIA"3239 d="M463.9,151.934v13.127h3.707V151.934Zm-29.164-.018v13.145h3.74v-10.2l2.918.01a2.674,2.674,0,0,1,2.086.724c.586.625.826,1.632.826,3.476v5.995h3.624V157.8c0-5.183-3.3-5.882-6.536-5.882Zm35.134.018v13.127h6.013c3.2,0,4.249-.533,5.38-1.727a7.352,7.352,0,0,0,1.316-4.692,7.789,7.789,0,0,0-1.2-4.516c-1.373-1.833-3.352-2.191-6.306-2.191Zm3.677,2.858h1.594c2.312,0,3.808,1.039,3.808,3.733s-1.5,3.734-3.808,3.734h-1.594Zm-14.992-2.858-3.094,10.4-2.965-10.4h-4l4.234,13.127h5.343l4.267-13.127Zm25.749,13.127h3.708V151.935h-3.709ZM494.7,151.939l-5.177,13.117h3.656l.819-2.318h6.126l.775,2.318h3.969l-5.216-13.118Zm2.407,2.393,2.246,6.145h-4.562Z"3240 transform="translate(-399.551 -148.155)" />3241 <path id="nvidia-logo-eye-mark" data-name="Eye Mark"3242 d="M129.832,124.085v-1.807c.175-.013.353-.022.533-.028,4.941-.155,8.183,4.246,8.183,4.246s-3.5,4.863-7.255,4.863a4.553,4.553,0,0,1-1.461-.234v-5.478c1.924.232,2.31,1.082,3.467,3.01l2.572-2.169a6.81,6.81,0,0,0-5.042-2.462,9.328,9.328,0,0,0-1,.059m0-5.968v2.7c.177-.014.355-.025.533-.032,6.871-.232,11.348,5.635,11.348,5.635s-5.142,6.253-10.5,6.253a7.906,7.906,0,0,1-1.383-.122v1.668a9.1,9.1,0,0,0,1.151.075c4.985,0,8.59-2.546,12.081-5.559.578.463,2.948,1.591,3.435,2.085-3.319,2.778-11.055,5.018-15.44,5.018-.423,0-.829-.026-1.228-.064v2.344h18.947v-20Zm0,13.009v1.424c-4.611-.822-5.89-5.615-5.89-5.615a9.967,9.967,0,0,1,5.89-2.85v1.563h-.007a4.424,4.424,0,0,0-3.437,1.571s.845,3.035,3.444,3.908m-8.189-4.4a11.419,11.419,0,0,1,8.189-4.449v-1.463c-6.043.485-11.277,5.6-11.277,5.6s2.964,8.569,11.277,9.354v-1.555C123.731,133.451,121.643,126.728,121.643,126.728Z"3243 transform="translate(-118.555 -118.117)" fill="#74b71b" />3244 </symbol>3245 </svg>32463247 3248 3249 <div class="nv-n-n25 ">3250 <nav class="accordion-menu" aria-label="Accordion Navigation">3251 3252 3253 3254 3255 <div class="menu-item">3256 3257 3258 3259 3260 3261 3262 3263 3264 <button class="accordion-btn one-lvl-btn brand-nav-title" aria-expanded="false" aria-controls="submenu-1" id="menu-btn-2">3265 <a href="https://www.nvidia.com/en-us/data-center/">Cloud and Data Center </a>3266 </button>3267 3268 3269 3270 3271 3272 32733274 3275 3276 32773278 3279 <div class="submenu level-3-menu one-lvl" id="submenu-1-1" role="menu" aria-labelledby="menu-btn-1-1">3280 3281 </div>3282 3283 3284 3285 </div>3286 3287 3288 3289 <div class="menu-item">3290 3291 3292 3293 3294 3295 3296 3297 3298 3299 3300 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-2" id="menu-btn-2">3301 Solutions3302 <span class="caret" aria-hidden="true"></span>3303 </button>3304 3305 3306 3307 33083309 33103311 3312 <div class="submenu level-3-menu one-lvl" id="submenu-1-2" role="menu" aria-labelledby="menu-btn-1-2">3313 3314 3315 3316 3317 3318 <div class="menu-item">3319 <div class="submenu level-3-menu-items" id="submenu-1-2-1" role="menu">3320 3321 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/solutions/accelerated-computing/" target="_self"> 3322 <div class="nv-button button nv-button-text nv-button-caret">3323 <div class="btn-content btncta">3324 <span class="btn-text">Accelerated Computing</span>3325 </div>3326 </div>3327 3328 <p>Accelerate enterprise IT and AI workloads with data center solutions</p>3329 3330 </a>3331 3332 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/ai-data-platform/" target="_self"> 3333 <div class="nv-button button nv-button-text nv-button-caret">3334 <div class="btn-content btncta">3335 <span class="btn-text">AI Data Platform for Enterprise</span>3336 </div>3337 </div>3338 3339 <p>Unify and accelerate enterprise AI workloads with a full-stack data platform</p>3340 3341 </a>3342 3343 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/solutions/ai-factories/" target="_self"> 3344 <div class="nv-button button nv-button-text nv-button-caret">3345 <div class="btn-content btncta">3346 <span class="btn-text">AI Factory</span>3347 </div>3348 </div>3349 3350 <p>Accelerate and deploy large-scale AI with full-stack factory solutions</p>3351 3352 </a>3353 3354 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/" target="_self"> 3355 <div class="nv-button button nv-button-text nv-button-caret">3356 <div class="btn-content btncta">3357 <span class="btn-text">Cloud Computing</span>3358 </div>3359 </div>3360 3361 <p>Unleash enterprise AI and HPC with scalable accelerated cloud solutions</p>3362 3363 </a>3364 3365 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/edge-computing/" target="_self"> 3366 <div class="nv-button button nv-button-text nv-button-caret">3367 <div class="btn-content btncta">3368 <span class="btn-text">Edge Computing</span>3369 </div>3370 </div>3371 3372 <p>Accelerate AI, robotics, and IoT with scalable edge computing</p>3373 3374 </a>3375 3376 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/high-performance-computing/" target="_self"> 3377 <div class="nv-button button nv-button-text nv-button-caret">3378 <div class="btn-content btncta">3379 <span class="btn-text">High Performance Computing</span>3380 </div>3381 </div>3382 3383 <p>Advance discovery with energy‑efficient high‑performance computing</p>3384 3385 </a>3386 3387 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/solutions/mlops/" target="_self"> 3388 <div class="nv-button button nv-button-text nv-button-caret">3389 <div class="btn-content btncta">3390 <span class="btn-text">MLOps</span>3391 </div>3392 </div>3393 3394 <p>Scale AI solutions with enterprise MLOps tools, automation, and software</p>3395 3396 </a>3397 3398 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/networking/" target="_self"> 3399 <div class="nv-button button nv-button-text nv-button-caret">3400 <div class="btn-content btncta">3401 <span class="btn-text">Networking</span>3402 </div>3403 </div>3404 3405 <p>Networking for high-performance, scalable, and secure AI data centers</p>3406 3407 </a>3408 3409 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/dgx-platform/" target="_self"> 3410 <div class="nv-button button nv-button-text nv-button-caret">3411 <div class="btn-content btncta">3412 <span class="btn-text">DGX Platform</span>3413 </div>3414 </div>3415 3416 <p>Build next-generation AI factories for enterprises</p>3417 3418 </a>3419 3420 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/dgx-cloud/" target="_self"> 3421 <div class="nv-button button nv-button-text nv-button-caret">3422 <div class="btn-content btncta">3423 <span class="btn-text">DGX Cloud</span>3424 </div>3425 </div>3426 3427 <p>NVIDIA’s AI factory in the cloud</p>3428 3429 </a>3430 3431 </div>3432 </div>3433 3434 3435 </div>3436 3437 3438 3439 </div>3440 3441 3442 3443 <div class="menu-item">3444 3445 3446 3447 3448 3449 3450 3451 3452 3453 3454 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-3" id="menu-btn-2">3455 Products3456 <span class="caret" aria-hidden="true"></span>3457 </button>3458 3459 3460 3461 34623463 34643465 3466 <div class="submenu level-3-menu one-lvl" id="submenu-1-3" role="menu" aria-labelledby="menu-btn-1-3">3467 3468 3469 3470 3471 3472 <div class="menu-item">3473 <div class="submenu level-3-menu-items" id="submenu-1-3-1" role="menu">3474 3475 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/" target="_self"> 3476 <div class="nv-button button nv-button-text nv-button-caret">3477 <div class="btn-content btncta">3478 <span class="btn-text">Overview</span>3479 </div>3480 </div>3481 3482 <p>Accelerate AI, machine learning, and HPC with advanced data center platforms</p>3483 3484 </a>3485 3486 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/vera-rubin-nvl72/" target="_self"> 3487 <div class="nv-button button nv-button-text nv-button-caret">3488 <div class="btn-content btncta">3489 <span class="btn-text">Vera Rubin NVL72</span>3490 </div>3491 </div>3492 3493 <p>Rack-Scale Agentic AI Supercomputer</p>3494 3495 </a>3496 3497 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/lpx/" target="_self"> 3498 <div class="nv-button button nv-button-text nv-button-caret">3499 <div class="btn-content btncta">3500 <span class="btn-text">LPX</span>3501 </div>3502 </div>3503 3504 <p>Fast inference with full intelligence at scale</p>3505 3506 </a>3507 3508 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/dgx-superpod/" target="_self"> 3509 <div class="nv-button button nv-button-text nv-button-caret">3510 <div class="btn-content btncta">3511 <span class="btn-text">DGX SuperPOD</span>3512 </div>3513 </div>3514 3515 <p>Full-stack blueprint for gigascale AI infrastructure</p>3516 3517 </a>3518 3519 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/gb300-nvl72/" target="_self"> 3520 <div class="nv-button button nv-button-text nv-button-caret">3521 <div class="btn-content btncta">3522 <span class="btn-text">GB300 NVL72</span>3523 </div>3524 </div>3525 3526 <p>GB300 NVL72 rack-scale system built for the age of AI reasoning</p>3527 3528 </a>3529 3530 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/hgx/" target="_self"> 3531 <div class="nv-button button nv-button-text nv-button-caret">3532 <div class="btn-content btncta">3533 <span class="btn-text">HGX</span>3534 </div>3535 </div>3536 3537 <p>HGX platform specs for multi‑GPU AI, HPC, and simulation workloads</p>3538 3539 </a>3540 3541 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/grace-cpu/" target="_self"> 3542 <div class="nv-button button nv-button-text nv-button-caret">3543 <div class="btn-content btncta">3544 <span class="btn-text">CPU</span>3545 </div>3546 </div>3547 3548 <p>Architecture for data centers that transform data into intelligence</p>3549 3550 </a>3551 3552 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/" target="_self"> 3553 <div class="nv-button button nv-button-text nv-button-caret">3554 <div class="btn-content btncta">3555 <span class="btn-text">GB200 NVL72</span>3556 </div>3557 </div>3558 3559 <p>GB200 NVL72 for scalable LLM inference and advanced AI data center needs</p>3560 3561 </a>3562 3563 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/rtx-pro-server/" target="_self"> 3564 <div class="nv-button button nv-button-text nv-button-caret">3565 <div class="btn-content btncta">3566 <span class="btn-text">RTX PRO Server</span>3567 </div>3568 </div>3569 3570 <p>Universal data center platform for enterprise AI and industrial AI</p>3571 3572 </a>3573 3574 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/products/workstations/professional-desktop-gpus/rtx-pro-6000-family/" target="_self"> 3575 <div class="nv-button button nv-button-text nv-button-caret">3576 <div class="btn-content btncta">3577 <span class="btn-text">RTX PRO 6000 Blackwell</span>3578 </div>3579 </div>3580 3581 <p>RTX PRO 6000 specs for professional AI, graphics, and visual computing tasks</p>3582 3583 </a>3584 3585 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/dgx-basepod/" target="_self"> 3586 <div class="nv-button button nv-button-text nv-button-caret">3587 <div class="btn-content btncta">3588 <span class="btn-text">DGX BasePOD</span>3589 </div>3590 </div>3591 3592 <p>Reference architecture for building and scaling AI infrastructure</p>3593 3594 </a>3595 3596 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/dsx/" target="_self"> 3597 <div class="nv-button button nv-button-text nv-button-caret">3598 <div class="btn-content btncta">3599 <span class="btn-text">DSX Platform</span>3600 </div>3601 </div>3602 3603 <p>Build AI factories optimized for lowest cost tokens per megawatt</p>3604 3605 </a>3606 3607 </div>3608 </div>3609 3610 3611 </div>3612 3613 3614 3615 </div>3616 3617 3618 3619 <div class="menu-item">3620 3621 3622 3623 3624 3625 3626 3627 3628 3629 3630 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-4" id="menu-btn-2">3631 Software3632 <span class="caret" aria-hidden="true"></span>3633 </button>3634 3635 3636 3637 36383639 36403641 3642 <div class="submenu level-3-menu one-lvl" id="submenu-1-4" role="menu" aria-labelledby="menu-btn-1-4">3643 3644 3645 3646 3647 3648 <div class="menu-item">3649 <div class="submenu level-3-menu-items" id="submenu-1-4-1" role="menu">3650 3651 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/" target="_self"> 3652 <div class="nv-button button nv-button-text nv-button-caret">3653 <div class="btn-content btncta">3654 <span class="btn-text">AI Enterprise Suite</span>3655 </div>3656 </div>3657 3658 <p>Enterprise AI software suite for data center deployments</p>3659 3660 </a>3661 3662 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/base-command/manager/" target="_self"> 3663 <div class="nv-button button nv-button-text nv-button-caret">3664 <div class="btn-content btncta">3665 <span class="btn-text">Base Command Manager</span>3666 </div>3667 </div>3668 3669 <p>Centralized platform to manage and monitor AI workloads in data centers</p>3670 3671 </a>3672 3673 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/technologies/cuda-x/" target="_self"> 3674 <div class="nv-button button nv-button-text nv-button-caret">3675 <div class="btn-content btncta">3676 <span class="btn-text">CUDA-X</span>3677 </div>3678 </div>3679 3680 <p>GPU-accelerated libraries and tools for AI, HPC, and data processing</p>3681 3682 </a>3683 3684 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/virtual-solutions/" target="_self"> 3685 <div class="nv-button button nv-button-text nv-button-caret">3686 <div class="btn-content btncta">3687 <span class="btn-text">Virtualization</span>3688 </div>3689 </div>3690 3691 <p>GPU virtualization software to accelerate and manage virtualized environments</p>3692 3693 </a>3694 3695 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/accelerated-applications/" target="_self"> 3696 <div class="nv-button button nv-button-text nv-button-caret">3697 <div class="btn-content btncta">3698 <span class="btn-text">Accelerated Apps Catalog</span>3699 </div>3700 </div>3701 3702 <p>Browse DPU- and GPU-accelerated apps, tools, and services</p>3703 3704 </a>3705 3706 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/mission-control/" target="_self"> 3707 <div class="nv-button button nv-button-text nv-button-caret">3708 <div class="btn-content btncta">3709 <span class="btn-text">Mission Control</span>3710 </div>3711 </div>3712 3713 <p>Powers AI factory operations from developer workloads to infrastructure</p>3714 3715 </a>3716 3717 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/software/run-ai/" target="_self"> 3718 <div class="nv-button button nv-button-text nv-button-caret">3719 <div class="btn-content btncta">3720 <span class="btn-text">NVIDIA Run:ai</span>3721 </div>3722 </div>3723 3724 <p>AI Workload and GPU Orchestration</p>3725 3726 </a>3727 3728 </div>3729 </div>3730 3731 3732 </div>3733 3734 3735 3736 </div>3737 3738 3739 3740 <div class="menu-item">3741 3742 3743 3744 3745 3746 3747 3748 3749 3750 3751 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-5" id="menu-btn-2">3752 Architectures3753 <span class="caret" aria-hidden="true"></span>3754 </button>3755 3756 3757 3758 37593760 37613762 3763 <div class="submenu level-3-menu one-lvl" id="submenu-1-5" role="menu" aria-labelledby="menu-btn-1-5">3764 3765 3766 3767 3768 3769 <div class="menu-item">3770 <div class="submenu level-3-menu-items" id="submenu-1-5-1" role="menu">3771 3772 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/technologies/rubin/" target="_self"> 3773 <div class="nv-button button nv-button-text nv-button-caret">3774 <div class="btn-content btncta">3775 <span class="btn-text">Vera Rubin Platform</span>3776 </div>3777 </div>3778 3779 <p>Infrastructure for scalable AI reasoning</p>3780 3781 </a>3782 3783 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_self"> 3784 <div class="nv-button button nv-button-text nv-button-caret">3785 <div class="btn-content btncta">3786 <span class="btn-text">Blackwell Architecture</span>3787 </div>3788 </div>3789 3790 <p>The GPU architecture powering AI factories for the age of AI reasoning</p>3791 3792 </a>3793 3794 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/" target="_self"> 3795 <div class="nv-button button nv-button-text nv-button-caret">3796 <div class="btn-content btncta">3797 <span class="btn-text">Hopper Architecture</span>3798 </div>3799 </div>3800 3801 <p>Supercharging AI and HPC workloads for every data center</p>3802 3803 </a>3804 3805 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/technologies/ada-architecture/" target="_self"> 3806 <div class="nv-button button nv-button-text nv-button-caret">3807 <div class="btn-content btncta">3808 <span class="btn-text">Ada Lovelace Architecture</span>3809 </div>3810 </div>3811 3812 <p>Real-time ray tracing and AI for advanced design and visualization</p>3813 3814 </a>3815 3816 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/mgx/" target="_self"> 3817 <div class="nv-button button nv-button-text nv-button-caret">3818 <div class="btn-content btncta">3819 <span class="btn-text">MGX Reference Architecture </span>3820 </div>3821 </div>3822 3823 <p>Modular reference architecture for building accelerated data center servers</p>3824 3825 </a>3826 3827 </div>3828 </div>3829 3830 3831 </div>3832 3833 3834 3835 </div>3836 3837 3838 3839 <div class="menu-item">3840 3841 3842 3843 3844 3845 3846 3847 3848 3849 3850 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-6" id="menu-btn-2">3851 Technologies3852 <span class="caret" aria-hidden="true"></span>3853 </button>3854 3855 3856 3857 38583859 38603861 3862 <div class="submenu level-3-menu one-lvl" id="submenu-1-6" role="menu" aria-labelledby="menu-btn-1-6">3863 3864 3865 3866 3867 3868 <div class="menu-item">3869 <div class="submenu level-3-menu-items" id="submenu-1-6-1" role="menu">3870 3871 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/nvlink/" target="_self"> 3872 <div class="nv-button button nv-button-text nv-button-caret">3873 <div class="btn-content btncta">3874 <span class="btn-text">NVLink and NVLink Switch</span>3875 </div>3876 </div>3877 3878 <p>High-speed interconnect for multi-GPU communication and large AI models</p>3879 3880 </a>3881 3882 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/nvlink-fusion/" target="_self"> 3883 <div class="nv-button button nv-button-text nv-button-caret">3884 <div class="btn-content btncta">3885 <span class="btn-text">NVLink Fusion</span>3886 </div>3887 </div>3888 3889 <p>Semi-custom AI infrastructure with industry-proven AI scale-up performance</p>3890 3891 </a>3892 3893 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/tensor-cores/" target="_self"> 3894 <div class="nv-button button nv-button-text nv-button-caret">3895 <div class="btn-content btncta">3896 <span class="btn-text">Tensor Cores</span>3897 </div>3898 </div>3899 3900 <p>Specialized GPU cores that speed up AI and HPC math workloads</p>3901 3902 </a>3903 3904 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/" target="_self"> 3905 <div class="nv-button button nv-button-text nv-button-caret">3906 <div class="btn-content btncta">3907 <span class="btn-text">Multi-Instance GPUs</span>3908 </div>3909 </div>3910 3911 <p>GPU partitioning to securely share one GPU across workloads</p>3912 3913 </a>3914 3915 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" target="_self"> 3916 <div class="nv-button button nv-button-text nv-button-caret">3917 <div class="btn-content btncta">3918 <span class="btn-text">Confidential Computing</span>3919 </div>3920 </div>3921 3922 <p>Secure data and AI models in use</p>3923 3924 </a>3925 3926 </div>3927 </div>3928 3929 3930 </div>3931 3932 3933 3934 </div>3935 3936 3937 3938 <div class="menu-item">3939 3940 3941 3942 3943 3944 3945 3946 3947 3948 3949 <button class="accordion-btn one-lvl-btn" aria-expanded="false" aria-controls="submenu-7" id="menu-btn-2">3950 Resources3951 <span class="caret" aria-hidden="true"></span>3952 </button>3953 3954 3955 3956 39573958 39593960 3961 <div class="submenu level-3-menu one-lvl" id="submenu-1-7" role="menu" aria-labelledby="menu-btn-1-7">3962 3963 3964 3965 3966 3967 <div class="menu-item">3968 <div class="submenu level-3-menu-items" id="submenu-1-7-1" role="menu">3969 3970 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/resources/" target="_self"> 3971 <div class="nv-button button nv-button-text nv-button-caret">3972 <div class="btn-content btncta">3973 <span class="btn-text">Resource Hub</span>3974 </div>3975 </div>3976 3977 <p>Resources to build and optimize AI-ready data centers and factories</p>3978 3979 </a>3980 3981 <a class="level-3-menu-item" href="https://docs.nvidia.com/data-center-gpu/line-card.pdf" target="_blank"> 3982 <div class="nv-button button nv-button-text nv-button-caret">3983 <div class="btn-content btncta">3984 <span class="btn-text">Data Center GPU Line Card</span>3985 </div>3986 </div>3987 3988 <p>Guide to selecting data center GPUs and networking for AI workloads</p>3989 3990 </a>3991 3992 <a class="level-3-menu-item" href="https://resources.nvidia.com/l/en-us-gpu" target="_blank"> 3993 <div class="nv-button button nv-button-text nv-button-caret">3994 <div class="btn-content btncta">3995 <span class="btn-text">Data Center GPUs Resource Center</span>3996 </div>3997 </div>3998 3999 <p>Documentation and guides for NVIDIA data center GPU products</p>4000 4001 </a>4002 4003 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/resources/mlperf-benchmarks/" target="_self"> 4004 <div class="nv-button button nv-button-text nv-button-caret">4005 <div class="btn-content btncta">4006 <span class="btn-text">MLPerf Benchmarks</span>4007 </div>4008 </div>4009 4010 <p>MLPerf training and inference results for the NVIDIA AI platform</p>4011 4012 </a>4013 4014 <a class="level-3-menu-item" href="https://www.nvidia.com/en-us/data-center/products/certified-systems/" target="_self"> 4015 <div class="nv-button button nv-button-text nv-button-caret">4016 <div class="btn-content btncta">4017 <span class="btn-text">NVIDIA-Certified Systems</span>4018 </div>4019 </div>4020 4021 <p>Accelerated partner systems delivering certified performance and scale</p>4022 4023 </a>4024 4025 <a class="level-3-menu-item" href="https://marketplace.nvidia.com/en-us/enterprise/qualified-system-catalog/" target="_blank"> 4026 <div class="nv-button button nv-button-text nv-button-caret">4027 <div class="btn-content btncta">4028 <span class="btn-text">Qualified System Catalog</span>4029 </div>4030 </div>4031 4032 <p>Catalog of qualified servers built with NVIDIA data center GPUs</p>4033 4034 </a>4035 4036 </div>4037 </div>4038 4039 4040 </div>4041 4042 4043 4044 </div>4045 4046 <li>4047 <div class="menu-right">4048 <ul aria-label="menu" role="menu">4049 4050 </ul>4051 </div>4052 </li>4053 </nav>4054 </div>4055 4056 4057 4058 </div>4059</div>40604061<div class="mega-overlay hide"></div>4062 </div>4063 <!-- Mobile navigation ends -->40644065 <div id="unibrow-container" class="hide-unibrow"></div>40664067 <!-- Common sub nav and brand nav Starts -->4068 4069 40704071 <!-- Common sub nav and brand nav ends -->407240734074 4075 <div class="cmp-verticalnavigation__toc-mobile hide">4076 <div>4077 <div class="cmp-verticalnavigation__toc-mobile-active-item">4078 <span class="active-text"></span>4079 <span class="active-arrow"></span>4080 </div>4081 </div>4082 </div>4083 <script src="/assets/account-wrapper/starfleet.js" id="starfleet-script"></script>4084 <script> 4085 if(false){4086 var searchPath = document.getElementById("search-path");4087 searchPath.value = window.location.pathname;4088 }4089 NVIDIAGDC.funcQueue.addToQueue({ 4090 id : "meganavigation4e6095b6_0b8c_42b2_a5c2_d129600f3f24",4091 method : "navigation-megamenu",4092 params : [{4093 globalSite:false,4094 breadCrumbAdded: false,4095 enableSearchLibrary: true,4096 isSolr:false,4097 searchOptions: {4098 destination: "https://www.nvidia.com/en-us/search/",4099 apiUrl: "https://api-prod.nvidia.com/search/graphql",4100 triggerId: 'nvidia-search-box-link',4101 referenceId: 'nvidia-search-box-link'4102 }4103 }]4104 });4105 4106 NVIDIAGDC.isBrandPage = true;4107 NVIDIAGDC.isMegaMenu = true;4108 NVIDIAGDC.disableOldBrandNav = true;4109 window.setHeaderObservers();4110 </script>41114112</nav>4113411441154116</div>41174118 4119 4120 4121 </header>4122412341244125 <noscript>4126 <div class="no-js-warning">This site requires Javascript in order to view all its content. Please enable Javascript in order to access all the functionality of this web site. Here are the <a href="http://www.enable-javascript.com/" target="_blank">instructions how to enable JavaScript in your web browser.</a></div>4127</noscript>4128 4129 4130 4131413241334134 4135<div class="root responsivegrid">413641374138<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">4139 4140 <div class="responsivegrid aem-GridColumn aem-GridColumn--default--12">414141424143<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">4144 4145 <div class="nv-container container responsivegrid nv-container--theme-dark aem-GridColumn aem-GridColumn--default--12">41464147 4148 4149 <div id="container-bc6318e3c6" class="p-t-0 p-b-0 lap-p-t-0 4150 lap-p-b-0 tab-p-t-0 tab-p-b-04151 mob-p-t-0 mob-p-b-0 4152 with-image-as-bg 4153 4154 d-middle-align d-center-align 4155 l-center-align l-middle-align t-center-align 4156 t-middle-align m-middle-align m-center-align 4157 m-cont-h-l 4158 d-content-align-center l-content-align-center t-content-align-center m-content-align-top 4159 4160 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">41614162 4163 4164 4165 <div class="nv-img-as-bg d-image-center l-image-center t-image-center p-image-center ">4166 4167 <picture data-nv-lazyload data-srcset-mobile="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-kv-bb460_420-p.jpg, 2x" data-srcset-tablet="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-kv-bb460_420-t.jpg, 2x" data-srcset-laptop="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-kv-bb460_420-l.jpg, 2x" data-srcset-desktop="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-kv-bb460_420-d.jpg, 2x">4168 <source data-source-mobile srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(max-width: 639px)"/>4169 <source data-source-tablet srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:640px) and (max-width:1023px)"/>4170 <source data-source-laptop srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:1024px) and (max-width:1349px)"/>4171 <source data-source-desktop srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:1350px)"/>4172 4173 <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" alt="NVIDIA H100 Tensor Core GPU" title="NVIDIA H100 Tensor Core GPU" id="image-container-bc6318e3c6" onload="window.initLazyLoadingImages('container-bc6318e3c6');"/>4174 4175 4176 </picture>4177 41784179 4180 </div>4181 41824183 418441854186 41874188 <div class="general-container">4189 419041914192<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 ">4193 4194 <div class="nv-container container responsivegrid aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0">41954196 4197 4198 <div id="container-45ff26a5d1" class="p-t-0 p-b-0 lap-p-t-0 4199 lap-p-b-0 tab-p-t-0 tab-p-b-04200 mob-p-t-15 mob-p-b-0 4201 4202 4203 d-top-align d-left-align 4204 l-left-align l-top-align t-left-align 4205 t-top-align m-top-align m-left-align 4206 4207 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 4208 4209 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">42104211 4212 421342144215 42164217 <div class="general-container">4218 421942204221<div class="aem-Grid aem-Grid--6 aem-Grid--default--6 aem-Grid--phone--12 ">4222 4223 <div class="nv-title text h--large aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6">4224 4225 4226 <div id="nv-title-57d05d2fd9" class="general-container-text ">4227 <div class="text-left lap-text-left tab-text-left mob-text-left">4228 <h1 class="title ">4229 4230 NVIDIA H100 GPU4231 4232 </h1>4233 </div>4234 </div>4235 4236 42374238 4239 </div>4240<div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6">4241 4242 4243 <div id="nv-text-3f325bce74" class="general-container-text ">4244 <div class="text-left lap-text-left tab-text-left mob-text-left">4245 <div class="description ">4246 <p><span class="p--large">Extraordinary performance, scalability, and security for every data center.</span></p>4247 </div>4248 </div>4249 </div>42504251 425242534254</div>4255<div class="nv-button button aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6">4256<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">4257 4258 <a id="nv-button-f0c8ecc2b5" class="btn-content btncta " target="_blank" data-cmp-clickable="false " data-lookbook-overlay-href="https://resources.nvidia.com/en-us-hopper-architecture/nvidia-tensor-core-gpu-datasheet" rel="noopener noreferrer" href="https://resources.nvidia.com/en-us-hopper-architecture/nvidia-tensor-core-gpu-datasheet">4259 4260 42614262 <span class="btn-text">View Datasheet</span>4263 4264 </a>4265</div>426642674268</div>42694270 4271</div>42724273 </div>4274 4275 </div>4276 42774278 4279 4280 42814282 4283<style>4284 #container-45ff26a5d1 {4285 4286 }42874288 /* Mobile: up to 639px */4289 @media only screen and (max-width: 639px) {4290 #container-45ff26a5d1 {4291 4292 }4293 }42944295 /* Tablet: 640px to 1023px */4296 @media only screen and (min-width: 640px) and (max-width: 1023px) {4297 #container-45ff26a5d1 {4298 4299 }4300 }43014302 /* Laptop: 1024px to 1349px */4303 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4304 #container-45ff26a5d1 {4305 4306 }4307 }43084309 /* Desktop: 1350px and up */4310 @media only screen and (min-width: 1350px) {4311 #container-45ff26a5d1 {4312 4313 }4314 }4315</style>43164317</div>43184319 4320</div>43214322 </div>4323 4324 </div>4325 43264327 4328 4329 43304331 4332<style>4333 #container-bc6318e3c6 {4334 background-color:#000000;4335 }43364337 /* Mobile: up to 639px */4338 @media only screen and (max-width: 639px) {4339 #container-bc6318e3c6 {4340 4341 }4342 }43434344 /* Tablet: 640px to 1023px */4345 @media only screen and (min-width: 640px) and (max-width: 1023px) {4346 #container-bc6318e3c6 {4347 4348 }4349 }43504351 /* Laptop: 1024px to 1349px */4352 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4353 #container-bc6318e3c6 {4354 4355 }4356 }43574358 /* Desktop: 1350px and up */4359 @media only screen and (min-width: 1350px) {4360 #container-bc6318e3c6 {4361 4362 }4363 }4364</style>43654366</div>4367<div class="nv-inpagenavigation responsivegrid aem-GridColumn aem-GridColumn--default--12">4368 4369 4370 <div class="in-page-nav-outer-container" aria-label="On this page navigation">4371 <div id="h100-inpage-nav" class="general-nav-container">4372 <ul class="in-page-nav-displayed-list">4373 <div class="nv-tabs__line"></div>4374 <li data-in-page-nav-item-index="0">4375 <a href="#introduction">Introduction</a>4376 </li>4377 4378 4379 <li data-in-page-nav-item-index="1">4380 <a href="#workloads">Workloads</a>4381 </li>4382 4383 4384 <li data-in-page-nav-item-index="2">4385 <a href="#h100-nvl">H100 NVL</a>4386 </li>4387 4388 4389 <li data-in-page-nav-item-index="3">4390 <a href="#bm-uf">NVIDIA Enterprise</a>4391 </li>4392 4393 4394 <li data-in-page-nav-item-index="4">4395 <a href="#specifications">Specifications</a>4396 </li>4397 </ul>4398 <div class="in-page-nav-displayed-list-mob">4399 <div>4400 <ul class="in-page-nav-displayed-list-mob-current-item"></ul>4401 </div>4402 <ul class="in-page-nav-displayed-list-mob-dropdown">4403 <li data-in-page-nav-item-index="0">4404 <a href="#introduction">Introduction</a>4405 </li>4406 4407 <li data-in-page-nav-item-index="1">4408 <a href="#workloads">Workloads</a>4409 </li>4410 4411 <li data-in-page-nav-item-index="2">4412 <a href="#h100-nvl">H100 NVL</a>4413 </li>4414 4415 <li data-in-page-nav-item-index="3">4416 <a href="#bm-uf">NVIDIA Enterprise</a>4417 </li>4418 4419 <li data-in-page-nav-item-index="4">4420 <a href="#specifications">Specifications</a>4421 </li>4422 </ul>4423 </div>4424 <div class="in-page-nav-truncated-list-container">4425 <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 21.4 5" height="24" width="24" fill="#FFFFFF">4426 <path d="M12613.6,1800.5a2.654,2.654,0,1,0-2.6,2.5A2.575,2.575,0,0,0,12613.6,1800.5Zm2.7,0a2.708,2.708,0,1,0,2.7-2.5A2.6,2.6,0,0,0,12616.3,1800.5Zm8.1,0a2.654,2.654,0,1,0,2.6-2.5A2.575,2.575,0,0,0,12624.4,1800.5Z" transform="translate(-12608.3 -1798)"></path>4427 </svg>4428 <ul class="in-page-nav-truncated-list">4429 <li data-in-page-nav-item-index="0">4430 <a href="#introduction">Introduction</a>4431 </li>4432 4433 <li data-in-page-nav-item-index="1">4434 <a href="#workloads">Workloads</a>4435 </li>4436 4437 <li data-in-page-nav-item-index="2">4438 <a href="#h100-nvl">H100 NVL</a>4439 </li>4440 4441 <li data-in-page-nav-item-index="3">4442 <a href="#bm-uf">NVIDIA Enterprise</a>4443 </li>4444 4445 <li data-in-page-nav-item-index="4">4446 <a href="#specifications">Specifications</a>4447 </li>4448 </ul>4449 </div>4450 <div class="ip-nav-cta-cont">4451 4452 </div>4453 </div>4454 </div>4455 </div>4456<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">44574458 4459 4460 <div id="introduction" class="p-t-75 p-b-75 lap-p-t-75 4461 lap-p-b-75 tab-p-t-45 tab-p-b-454462 mob-p-t-45 mob-p-b-45 4463 4464 4465 d-top-align d-left-align 4466 l-left-align l-top-align t-left-align 4467 t-top-align m-top-align m-left-align 4468 4469 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 4470 4471 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">44724473 4474 447544764477 44784479 <div class="general-container">4480 448144824483<div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 ">4484 4485 <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12">4486 4487 4488 <div id="nv-title-107948762c" class="general-container-text ">4489 <div class="text-center lap-text-center tab-text-center mob-text-center">4490 <h2 class="title ">4491 4492 An Order-of-Magnitude Leap for Accelerated Computing4493 4494 </h2>4495 </div>4496 </div>4497 4498 44994500 4501 </div>4502<div class="nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--1">4503 4504 4505 <div id="nv-text-94f730d064" class="general-container-text ">4506 <div class="text-center lap-text-center tab-text-center mob-text-center">4507 <div class="description ">4508 <p><span class="p--large">The NVIDIA H100 GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the <a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/">NVIDIA Hopper™ architecture</a> to deliver industry-leading conversational AI, speeding up large language models (LLMs) by 30X. H100 also includes a dedicated Transformer Engine to solve trillion-parameter language models.</span></p>4509 </div>4510 </div>4511 </div>45124513 451445154516</div>4517<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">4518<div class="nv-button-standard button-center button-lap-center button-tab-center button-mob-center">4519 4520 <a id="nv-button-a70f0fa2fc" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="https://resources.nvidia.com/en-us-hopper-architecture/nvidia-tensor-core-gpu-datasheet">4521 4522 45234524 <span class="btn-text"><span class="far fa-file fa-fw"></span> Read NVIDIA H100 Datasheet</span>4525 4526 </a>4527</div>452845294530</div>4531<div class="nv-button button nv-button-text nv-button-caret nv-no-top-padding nv-no-bottom-padding aem-GridColumn aem-GridColumn--default--12">4532<div class="nv-button-standard button-center button-lap-center button-tab-center button-mob-center">4533 4534 <a id="nv-button-d9f121466f" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="/content/dam/en-zz/Solutions/Data-Center/h100/PB-11773-001_v01.pdf">4535 4536 45374538 <span class="btn-text"><span class="far fa-file fa-fw"></span> NVIDIA H100 NVL Product Brief</span>4539 4540 </a>4541</div>454245434544</div>45454546 4547</div>45484549 </div>4550 4551 </div>4552 45534554 4555 4556 45574558 4559<style>4560 #introduction {4561 4562 }45634564 /* Mobile: up to 639px */4565 @media only screen and (max-width: 639px) {4566 #introduction {4567 4568 }4569 }45704571 /* Tablet: 640px to 1023px */4572 @media only screen and (min-width: 640px) and (max-width: 1023px) {4573 #introduction {4574 4575 }4576 }45774578 /* Laptop: 1024px to 1349px */4579 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4580 #introduction {4581 4582 }4583 }45844585 /* Desktop: 1350px and up */4586 @media only screen and (min-width: 1350px) {4587 #introduction {4588 4589 }4590 }4591</style>45924593</div>4594<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">45954596 4597 4598 <div id="workloads" class="p-t-0 p-b-30 lap-p-t-0 4599 lap-p-b-30 tab-p-t-0 tab-p-b-154600 mob-p-t-0 mob-p-b-45 4601 4602 4603 d-top-align d-left-align 4604 l-left-align l-top-align t-left-align 4605 t-top-align m-top-align m-left-align 4606 4607 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 4608 4609 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" data-cmp-disableMidgroundAutoHeight="false" data-cmp-disableVideoAutoHeight="false">46104611 4612 461346144615 46164617 <div class="general-container">4618 461946204621<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 ">4622 4623 <div class="nv-title text h--medium aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--8 aem-GridColumn--offset--default--2 aem-GridColumn--offset--phone--0">4624 4625 4626 <div id="nv-title-21c1267943" class="general-container-text ">4627 <div class="text-center lap-text-center tab-text-center mob-text-center">4628 <h2 class="title ">4629 4630 Securely Accelerate Workloads From Enterprise to Exascale4631 4632 </h2>4633 </div>4634 </div>4635 4636 46374638 4639 </div>4640<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">46414642 4643 4644 4645 <div id="container-761392d0df" class="p-t-30 p-b-0 lap-p-t-30 4646 lap-p-b-0 tab-p-t-30 tab-p-b-0 4647 mob-p-t-30 mob-p-b-0 4648 4649 4650 d-top-align d-left-align 4651 l-left-align l-top-align t-left-align 4652 t-top-align m-top-align m-left-align 4653 4654 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 4655 " data-cmp-is="nv-container">46564657 4658 4659 4660 4661 4662 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch ">4663 4664 <div class="nv-container container responsivegrid">46654666 4667 4668 <div id="container-23fc907263" class=" 4669 4670 4671 4672 4673 4674 4675 4676 4677 4678 4679 " data-cmp-is="nv-container">46804681 4682 468346844685 46864687 <div class="general-container">4688 468946904691<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">4692 4693 <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12">4694 4695 4696 <div id="nv-title-806f19b312" class="general-container-text ">4697 <div class="text-center lap-text-center tab-text-center mob-text-center">4698 <h3 class="title ">4699 4700 Up to 4X Higher AI Training on GPT-34701 4702 </h3>4703 </div>4704 </div>4705 4706 47074708 4709 </div>4710<div class="nv-image image aem-GridColumn aem-GridColumn--default--12">47114712<div id="nv-image-0de9401fe1" class="cmp-image 4713 d-align-center l-align-center t-align-center m-align-center" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_227392685/nv_container/nv_container/nv_image.coreimg{.width}.svg/1776427207056/nvidia-h100-workload-training.svg" data-asset="/content/dam/en-zz/Solutions/Data-Center/h100/nvidia-h100-workload-training.svg" data-title="Up to 4X Higher AI Training on GPT-3" data-cmp-type="renditionUpload">4714 4715 4716 4717 <noscript data-cmp-hook-image="noscript">4718 4719 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_227392685/nv_container/nv_container/nv_image.coreimg.svg/1776427207056/nvidia-h100-workload-training.svg" class="cmp-image__image" itemprop="contentUrl" alt="Up to 4X Higher AI Training on GPT-3" title="Up to 4X Higher AI Training on GPT-3" data-analytics="nv-image-0de9401fe1" data-cmp-hook-image="image"/>4720 4721 </noscript>47224723 4724 4725 4726 4727 </div>47284729 4730</div>4731<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">4732 4733 4734 <div id="nv-text-e479effe4f" class="general-container-text ">4735 <div class="text-left lap-text-left tab-text-left mob-text-left">4736 <div class="description ">4737 <p><span class="p--small">Projected performance subject to change. GPT-3 175B training A100 cluster: HDR IB network, H100 cluster: NDR IB network | Mixture of Experts (MoE) Training Transformer Switch-XXL variant with 395B parameters on 1T token dataset, A100 cluster: HDR IB network, H100 cluster: NDR IB network with NVLink Switch System where indicated.</span></p>4738 </div>4739 </div>4740 </div>47414742 474347444745</div>47464747 4748</div>47494750 </div>4751 4752 </div>4753 47544755 4756 4757 47584759 4760<style>4761 #container-23fc907263 {4762 4763 }47644765 /* Mobile: up to 639px */4766 @media only screen and (max-width: 639px) {4767 #container-23fc907263 {4768 4769 }4770 }47714772 /* Tablet: 640px to 1023px */4773 @media only screen and (min-width: 640px) and (max-width: 1023px) {4774 #container-23fc907263 {4775 4776 }4777 }47784779 /* Laptop: 1024px to 1349px */4780 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4781 #container-23fc907263 {4782 4783 }4784 }47854786 /* Desktop: 1350px and up */4787 @media only screen and (min-width: 1350px) {4788 #container-23fc907263 {4789 4790 }4791 }4792</style>47934794</div>4795<div class="nv-container container responsivegrid">47964797 4798 4799 <div id="container-750a9f3968" class=" 4800 4801 4802 4803 4804 4805 4806 4807 4808 4809 4810 " data-cmp-is="nv-container">48114812 4813 481448154816 48174818 <div class="general-container">4819 482048214822<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">4823 4824 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">4825 4826 4827 <div id="nv-title-c1c90fd311" class="general-container-text ">4828 <div class="text-left lap-text-left tab-text-left mob-text-left">4829 <h2 class="title ">4830 4831 Transformational AI Training4832 4833 </h2>4834 </div>4835 </div>4836 4837 48384839 4840 </div>4841<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">4842 4843 4844 <div id="nv-text-5f4475687d" class="general-container-text ">4845 <div class="text-left lap-text-left tab-text-left mob-text-left">4846 <div class="description ">4847 <p>H100 features fourth-generation Tensor Cores and a Transformer Engine with FP8 precision that provides up to 4X faster training over the prior generation for GPT-3 (175B) models. The combination of fourth-generation NVLink, which offers 900 gigabytes per second (GB/s) of GPU-to-GPU interconnect; NDR Quantum-2 InfiniBand networking, which accelerates communication by every GPU across nodes; PCIe Gen5; and <a href="https://www.nvidia.com/en-us/data-center/magnum-io/">NVIDIA Magnum IO™</a> software delivers efficient scalability from small enterprise systems to massive, unified GPU clusters.</p> 4848<p>Deploying H100 GPUs at data center scale delivers outstanding performance and brings the next generation of exascale high-performance computing (HPC) and trillion-parameter AI within the reach of all researchers.</p>4849 </div>4850 </div>4851 </div>48524853 485448554856</div>4857<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">4858<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">4859 4860 <a id="nv-button-eba32cb984" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/launchpad/ai/tuning-and-deploying-a-language-model-on-h100/">4861 4862 48634864 <span class="btn-text">Experience NVIDIA AI and NVIDIA H100 on NVIDIA LaunchPad</span>4865 4866 </a>4867</div>486848694870</div>48714872 4873</div>48744875 </div>4876 4877 </div>4878 48794880 4881 4882 48834884 4885<style>4886 #container-750a9f3968 {4887 4888 }48894890 /* Mobile: up to 639px */4891 @media only screen and (max-width: 639px) {4892 #container-750a9f3968 {4893 4894 }4895 }48964897 /* Tablet: 640px to 1023px */4898 @media only screen and (min-width: 640px) and (max-width: 1023px) {4899 #container-750a9f3968 {4900 4901 }4902 }49034904 /* Laptop: 1024px to 1349px */4905 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4906 #container-750a9f3968 {4907 4908 }4909 }49104911 /* Desktop: 1350px and up */4912 @media only screen and (min-width: 1350px) {4913 #container-750a9f3968 {4914 4915 }4916 }4917</style>49184919</div>49204921 4922 </div>4923 4924 </div>49254926 4927 49284929 4930<style>4931 #container-761392d0df {4932 4933 }49344935 /* Mobile: up to 639px */4936 @media only screen and (max-width: 639px) {4937 #container-761392d0df {4938 4939 }4940 }49414942 /* Tablet: 640px to 1023px */4943 @media only screen and (min-width: 640px) and (max-width: 1023px) {4944 #container-761392d0df {4945 4946 }4947 }49484949 /* Laptop: 1024px to 1349px */4950 @media only screen and (min-width: 1024px) and (max-width: 1349px) {4951 #container-761392d0df {4952 4953 }4954 }49554956 /* Desktop: 1350px and up */4957 @media only screen and (min-width: 1350px) {4958 #container-761392d0df {4959 4960 }4961 }4962</style>49634964</div>49654966 4967</div>49684969 </div>4970 4971 </div>4972 49734974 4975 4976 49774978 4979<style>4980 #workloads {4981 4982 }49834984 /* Mobile: up to 639px */4985 @media only screen and (max-width: 639px) {4986 #workloads {4987 4988 }4989 }49904991 /* Tablet: 640px to 1023px */4992 @media only screen and (min-width: 640px) and (max-width: 1023px) {4993 #workloads {4994 4995 }4996 }49974998 /* Laptop: 1024px to 1349px */4999 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5000 #workloads {5001 5002 }5003 }50045005 /* Desktop: 1350px and up */5006 @media only screen and (min-width: 1350px) {5007 #workloads {5008 5009 }5010 }5011</style>50125013</div>5014<div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12">50155016 5017 5018 <div id="nv-rawhtml-2794605df1" class="general-container-text ">5019 5020 50215022 <div> <style>5023 5024@media screen and (min-width: 640px) and (max-width: 1023px) {5025#deep-learning .general-container, #data-analytics .general-container, #confidential-computing .general-container {5026 flex-direction: column-reverse;5027}5028 5029</style></div> 50305031 </div>5032</div>5033<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">50345035 5036 5037 5038 <div id="deep-learning" class="p-t-30 p-b-30 lap-p-t-30 5039 lap-p-b-30 tab-p-t-15 tab-p-b-15 5040 mob-p-t-15 mob-p-b-15 5041 5042 5043 d-top-align d-left-align 5044 l-left-align l-top-align t-left-align 5045 t-top-align m-top-align m-left-align 5046 5047 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 5048 " data-cmp-is="nv-container">50495050 5051 5052 5053 5054 5055 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse ">5056 5057 <div class="nv-container container responsivegrid">50585059 5060 5061 <div id="container-e7e3571586" class=" 5062 5063 5064 5065 5066 5067 5068 5069 5070 5071 5072 " data-cmp-is="nv-container">50735074 5075 507650775078 50795080 <div class="general-container">5081 508250835084<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">5085 5086 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">5087 5088 5089 <div id="nv-title-f2bb424107" class="general-container-text ">5090 <div class="text-left lap-text-left tab-text-left mob-text-left">5091 <h2 class="title ">5092 5093 Real-Time Deep Learning Inference5094 5095 </h2>5096 </div>5097 </div>5098 5099 51005101 5102 </div>5103<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5104 5105 5106 <div id="nv-text-0881acdaec" class="general-container-text ">5107 <div class="text-left lap-text-left tab-text-left mob-text-left">5108 <div class="description ">5109 <p>AI solves a wide array of business challenges, using an equally wide array of neural networks. A great AI inference accelerator has to not only deliver the highest performance but also the versatility to accelerate these networks.</p> 5110<p>H100 extends NVIDIA’s market-leading inference leadership with several advancements that accelerate inference by up to 30X and deliver the lowest latency. Fourth-generation Tensor Cores speed up all precisions, including FP64, TF32, FP32, FP16, INT8, and now FP8, to reduce memory usage and increase performance while still maintaining accuracy for LLMs.</p>5111 </div>5112 </div>5113 </div>51145115 511651175118</div>51195120 5121</div>51225123 </div>5124 5125 </div>5126 51275128 5129 5130 51315132 5133<style>5134 #container-e7e3571586 {5135 5136 }51375138 /* Mobile: up to 639px */5139 @media only screen and (max-width: 639px) {5140 #container-e7e3571586 {5141 5142 }5143 }51445145 /* Tablet: 640px to 1023px */5146 @media only screen and (min-width: 640px) and (max-width: 1023px) {5147 #container-e7e3571586 {5148 5149 }5150 }51515152 /* Laptop: 1024px to 1349px */5153 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5154 #container-e7e3571586 {5155 5156 }5157 }51585159 /* Desktop: 1350px and up */5160 @media only screen and (min-width: 1350px) {5161 #container-e7e3571586 {5162 5163 }5164 }5165</style>51665167</div>5168<div class="nv-container container responsivegrid">51695170 5171 5172 <div id="container-efdfac0259" class=" 5173 5174 5175 5176 5177 5178 5179 5180 5181 5182 5183 " data-cmp-is="nv-container">51845185 5186 518751885189 51905191 <div class="general-container">5192 519351945195<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 ">5196 5197 <div class="nv-title text h--smallest aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--1">5198 5199 5200 <div id="nv-title-2989396791" class="general-container-text ">5201 <div class="text-center lap-text-center tab-text-center mob-text-center">5202 <h3 class="title ">5203 5204 Up to 30X Higher AI Inference Performance on the Largest Models5205 5206 </h3>5207 </div>5208 </div>5209 5210 52115212 5213 </div>5214<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5215 5216 5217 <div id="nv-text-c00baa0eff" class="general-container-text ">5218 <div class="text-center lap-text-center tab-text-center mob-text-center">5219 <div class="description ">5220 <p>Megatron chatbot inference (530 billion parameters)</p>5221 </div>5222 </div>5223 </div>52245225 522652275228</div>5229<div class="nv-image image aem-GridColumn aem-GridColumn--default--12">52305231<div id="nv-image-e9fe2b6b4c" class="cmp-image 5232 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_416312871/nv_container_326104294/nv_image.coreimg{.width}.svg/1776427207226/nvidia-h100-workload-inference-2c50-d.svg" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/nvidia-h100-workload-inference-2c50-d.svg" data-title="Real-Time Deep Learning Inference" data-cmp-type="renditionUpload">5233 5234 5235 5236 <noscript data-cmp-hook-image="noscript">5237 5238 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_416312871/nv_container_326104294/nv_image.coreimg.svg/1776427207226/nvidia-h100-workload-inference-2c50-d.svg" class="cmp-image__image" itemprop="contentUrl" alt="Real-Time Deep Learning Inference" title="Real-Time Deep Learning Inference" data-analytics="nv-image-e9fe2b6b4c" data-cmp-hook-image="image"/>5239 5240 </noscript>52415242 5243 5244 5245 5246 </div>52475248 5249</div>5250<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5251 5252 5253 <div id="nv-text-414b4e8036" class="general-container-text ">5254 <div class="text-left lap-text-left tab-text-left mob-text-left">5255 <div class="description ">5256 <p><span class="p--small">Projected performance subject to change. Inference on Megatron 530B parameter model based chatbot for input sequence length=128, output sequence length =20 | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB</span></p>5257 </div>5258 </div>5259 </div>52605261 526252635264</div>52655266 5267</div>52685269 </div>5270 5271 </div>5272 52735274 5275 5276 52775278 5279<style>5280 #container-efdfac0259 {5281 5282 }52835284 /* Mobile: up to 639px */5285 @media only screen and (max-width: 639px) {5286 #container-efdfac0259 {5287 5288 }5289 }52905291 /* Tablet: 640px to 1023px */5292 @media only screen and (min-width: 640px) and (max-width: 1023px) {5293 #container-efdfac0259 {5294 5295 }5296 }52975298 /* Laptop: 1024px to 1349px */5299 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5300 #container-efdfac0259 {5301 5302 }5303 }53045305 /* Desktop: 1350px and up */5306 @media only screen and (min-width: 1350px) {5307 #container-efdfac0259 {5308 5309 }5310 }5311</style>53125313</div>53145315 5316 </div>5317 5318 </div>53195320 5321 53225323 5324<style>5325 #deep-learning {5326 5327 }53285329 /* Mobile: up to 639px */5330 @media only screen and (max-width: 639px) {5331 #deep-learning {5332 5333 }5334 }53355336 /* Tablet: 640px to 1023px */5337 @media only screen and (min-width: 640px) and (max-width: 1023px) {5338 #deep-learning {5339 5340 }5341 }53425343 /* Laptop: 1024px to 1349px */5344 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5345 #deep-learning {5346 5347 }5348 }53495350 /* Desktop: 1350px and up */5351 @media only screen and (min-width: 1350px) {5352 #deep-learning {5353 5354 }5355 }5356</style>53575358</div>5359<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">53605361 5362 5363 5364 <div id="container-c0bdf72f21" class="p-t-30 p-b-30 lap-p-t-30 5365 lap-p-b-30 tab-p-t-15 tab-p-b-15 5366 mob-p-t-15 mob-p-b-15 5367 5368 5369 d-top-align d-left-align 5370 l-left-align l-top-align t-left-align 5371 t-top-align m-top-align m-left-align 5372 5373 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 5374 " data-cmp-is="nv-container">53755376 5377 5378 5379 5380 5381 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch ">5382 5383 <div class="nv-container container responsivegrid">53845385 5386 5387 <div id="container-8a40ab1c93" class=" 5388 5389 5390 5391 5392 5393 5394 5395 5396 5397 5398 " data-cmp-is="nv-container">53995400 5401 540254035404 54055406 <div class="general-container">5407 540854095410<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">5411 5412 <div class="nv-title text h--smallest aem-GridColumn aem-GridColumn--default--12">5413 5414 5415 <div id="nv-title-97e1f88768" class="general-container-text ">5416 <div class="text-center lap-text-center tab-text-center mob-text-center">5417 <h3 class="title ">5418 5419 Up to 7X Higher Performance for HPC Applications5420 5421 </h3>5422 </div>5423 </div>5424 5425 54265427 5428 </div>5429<div class="nv-image image aem-GridColumn aem-GridColumn--default--12">54305431<div id="nv-image-c2115d0029" class="cmp-image 5432 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_700535989/nv_container/nv_image.coreimg{.width}.svg/1776427207299/nvidia-h100-workload-hpc-2c50-d.svg" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/nvidia-h100-workload-hpc-2c50-d.svg" data-title="AI-fused HPC Applications" data-cmp-type="renditionUpload">5433 5434 5435 5436 <noscript data-cmp-hook-image="noscript">5437 5438 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_700535989/nv_container/nv_image.coreimg.svg/1776427207299/nvidia-h100-workload-hpc-2c50-d.svg" class="cmp-image__image" itemprop="contentUrl" alt="AI-fused HPC Applications" title="AI-fused HPC Applications" data-analytics="nv-image-c2115d0029" data-cmp-hook-image="image"/>5439 5440 </noscript>54415442 5443 5444 5445 5446 </div>54475448 5449</div>5450<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5451 5452 5453 <div id="nv-text-015ef94295" class="general-container-text ">5454 <div class="text-left lap-text-left tab-text-left mob-text-left">5455 <div class="description ">5456 <p><span class="p--small">Projected performance subject to change. 3D FFT (4K^3) throughput | A100 cluster: HDR IB network | H100 cluster: NVLink Switch System, NDR IB | Genome Sequencing (Smith-Waterman) | 1 A100 | 1 H100</span></p>5457 </div>5458 </div>5459 </div>54605461 546254635464</div>54655466 5467</div>54685469 </div>5470 5471 </div>5472 54735474 5475 5476 54775478 5479<style>5480 #container-8a40ab1c93 {5481 5482 }54835484 /* Mobile: up to 639px */5485 @media only screen and (max-width: 639px) {5486 #container-8a40ab1c93 {5487 5488 }5489 }54905491 /* Tablet: 640px to 1023px */5492 @media only screen and (min-width: 640px) and (max-width: 1023px) {5493 #container-8a40ab1c93 {5494 5495 }5496 }54975498 /* Laptop: 1024px to 1349px */5499 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5500 #container-8a40ab1c93 {5501 5502 }5503 }55045505 /* Desktop: 1350px and up */5506 @media only screen and (min-width: 1350px) {5507 #container-8a40ab1c93 {5508 5509 }5510 }5511</style>55125513</div>5514<div class="nv-container container responsivegrid">55155516 5517 5518 <div id="container-3475d9756a" class=" 5519 5520 5521 5522 5523 5524 5525 5526 5527 5528 5529 " data-cmp-is="nv-container">55305531 5532 553355345535 55365537 <div class="general-container">5538 553955405541<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">5542 5543 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">5544 5545 5546 <div id="nv-title-ba2408a6d0" class="general-container-text ">5547 <div class="text-left lap-text-left tab-text-left mob-text-left">5548 <h2 class="title ">5549 5550 Exascale High-Performance Computing5551 5552 </h2>5553 </div>5554 </div>5555 5556 55575558 5559 </div>5560<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5561 5562 5563 <div id="nv-text-c0e0dc03d1" class="general-container-text ">5564 <div class="text-left lap-text-left tab-text-left mob-text-left">5565 <div class="description ">5566 <p>The NVIDIA data center platform consistently delivers performance gains beyond Moore’s law. And H100’s new breakthrough AI capabilities further amplify the power of HPC+AI to accelerate time to discovery for scientists and researchers working on solving the world’s most important challenges.</p> 5567<p>H100 triples the floating-point operations per second (FLOPS) of double-precision Tensor Cores, delivering 60 teraflops of FP64 computing for HPC. AI-fused HPC applications can also leverage H100’s TF32 precision to achieve one petaflop of throughput for single-precision matrix-multiply operations, with zero code changes. </p> 5568<p>H100 also features new DPX instructions that deliver 7X higher performance over A100 and 40X speedups over CPUs on dynamic programming algorithms such as Smith-Waterman for DNA sequence alignment and protein alignment for protein structure prediction.</p>5569 </div>5570 </div>5571 </div>55725573 557455755576</div>5577<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">5578<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">5579 5580 <a id="nv-button-a46d7e3dc2" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="https://developer.nvidia.com/hpc-application-performance">5581 5582 55835584 <span class="btn-text">Review Latest GPU Performance on HPC Applications</span>5585 5586 </a>5587</div>558855895590</div>5591<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5592 5593 5594 <div id="nv-text-3cc248d9c3" class="general-container-text ">5595 <div class="text-left lap-text-left tab-text-left mob-text-left">5596 <div class="description ">5597 <p><span class="p--small">DPX instructions comparison NVIDIA HGX™ H100 4-GPU vs dual socket 32-core IceLake.</span></p>5598 </div>5599 </div>5600 </div>56015602 560356045605</div>56065607 5608</div>56095610 </div>5611 5612 </div>5613 56145615 5616 5617 56185619 5620<style>5621 #container-3475d9756a {5622 5623 }56245625 /* Mobile: up to 639px */5626 @media only screen and (max-width: 639px) {5627 #container-3475d9756a {5628 5629 }5630 }56315632 /* Tablet: 640px to 1023px */5633 @media only screen and (min-width: 640px) and (max-width: 1023px) {5634 #container-3475d9756a {5635 5636 }5637 }56385639 /* Laptop: 1024px to 1349px */5640 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5641 #container-3475d9756a {5642 5643 }5644 }56455646 /* Desktop: 1350px and up */5647 @media only screen and (min-width: 1350px) {5648 #container-3475d9756a {5649 5650 }5651 }5652</style>56535654</div>56555656 5657 </div>5658 5659 </div>56605661 5662 56635664 5665<style>5666 #container-c0bdf72f21 {5667 5668 }56695670 /* Mobile: up to 639px */5671 @media only screen and (max-width: 639px) {5672 #container-c0bdf72f21 {5673 5674 }5675 }56765677 /* Tablet: 640px to 1023px */5678 @media only screen and (min-width: 640px) and (max-width: 1023px) {5679 #container-c0bdf72f21 {5680 5681 }5682 }56835684 /* Laptop: 1024px to 1349px */5685 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5686 #container-c0bdf72f21 {5687 5688 }5689 }56905691 /* Desktop: 1350px and up */5692 @media only screen and (min-width: 1350px) {5693 #container-c0bdf72f21 {5694 5695 }5696 }5697</style>56985699</div>5700<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">57015702 5703 5704 5705 <div id="data-analytics" class="p-t-30 p-b-30 lap-p-t-30 5706 lap-p-b-30 tab-p-t-15 tab-p-b-15 5707 mob-p-t-15 mob-p-b-15 5708 5709 5710 d-top-align d-left-align 5711 l-left-align l-top-align t-left-align 5712 t-top-align m-top-align m-left-align 5713 5714 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 5715 " data-cmp-is="nv-container">57165717 5718 5719 5720 5721 5722 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse ">5723 5724 <div class="nv-container container responsivegrid">57255726 5727 5728 <div id="container-7133068421" class=" 5729 5730 5731 5732 5733 5734 5735 5736 5737 5738 5739 " data-cmp-is="nv-container">57405741 5742 574357445745 57465747 <div class="general-container">5748 574957505751<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">5752 5753 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">5754 5755 5756 <div id="nv-title-3f2fc4e15a" class="general-container-text ">5757 <div class="text-left lap-text-left tab-text-left mob-text-left">5758 <h2 class="title ">5759 5760 Accelerated Data Analytics5761 5762 </h2>5763 </div>5764 </div>5765 5766 57675768 5769 </div>5770<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5771 5772 5773 <div id="nv-text-defc637788" class="general-container-text ">5774 <div class="text-left lap-text-left tab-text-left mob-text-left">5775 <div class="description ">5776 <p>Data analytics often consumes the majority of time in AI application development. Since large datasets are scattered across multiple servers, scale-out solutions with commodity CPU-only servers get bogged down by a lack of scalable computing performance.</p> 5777<p>Accelerated servers with H100 deliver the compute power—along with 3 terabytes per second (TB/s) of memory bandwidth per GPU and scalability with NVLink and NVSwitch™—to tackle data analytics with high performance and scale to support massive datasets. Combined with NVIDIA Quantum-2 InfiniBand, Magnum IO software, GPU-accelerated Spark 3.0, and <a href="https://www.nvidia.com/en-us/deep-learning-ai/software/rapids/">NVIDIA RAPIDS™</a>, the NVIDIA data center platform is uniquely able to accelerate these huge workloads with higher performance and efficiency.</p>5778 </div>5779 </div>5780 </div>57815782 578357845785</div>57865787 5788</div>57895790 </div>5791 5792 </div>5793 57945795 5796 5797 57985799 5800<style>5801 #container-7133068421 {5802 5803 }58045805 /* Mobile: up to 639px */5806 @media only screen and (max-width: 639px) {5807 #container-7133068421 {5808 5809 }5810 }58115812 /* Tablet: 640px to 1023px */5813 @media only screen and (min-width: 640px) and (max-width: 1023px) {5814 #container-7133068421 {5815 5816 }5817 }58185819 /* Laptop: 1024px to 1349px */5820 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5821 #container-7133068421 {5822 5823 }5824 }58255826 /* Desktop: 1350px and up */5827 @media only screen and (min-width: 1350px) {5828 #container-7133068421 {5829 5830 }5831 }5832</style>58335834</div>5835<div class="nv-image image">58365837<div id="nv-image-dca636b5f0" class="cmp-image 5838 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_4163128/nv_image.coreimg.100{.width}.jpeg/1776427207420/h100-tensor-core-data-analytics-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/h100-tensor-core-data-analytics-2c50-d@2x.jpg" data-title="Accelerated servers with H100" data-cmp-type="renditionUpload">5839 5840 5841 5842 <noscript data-cmp-hook-image="noscript">5843 5844 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_4163128/nv_image.coreimg.jpeg/1776427207420/h100-tensor-core-data-analytics-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" alt="Accelerated servers with H100" title="Accelerated servers with H100" data-analytics="nv-image-dca636b5f0" data-cmp-hook-image="image"/>5845 5846 </noscript>58475848 5849 5850 5851 5852 </div>58535854 5855</div>58565857 5858 </div>5859 5860 </div>58615862 5863 58645865 5866<style>5867 #data-analytics {5868 5869 }58705871 /* Mobile: up to 639px */5872 @media only screen and (max-width: 639px) {5873 #data-analytics {5874 5875 }5876 }58775878 /* Tablet: 640px to 1023px */5879 @media only screen and (min-width: 640px) and (max-width: 1023px) {5880 #data-analytics {5881 5882 }5883 }58845885 /* Laptop: 1024px to 1349px */5886 @media only screen and (min-width: 1024px) and (max-width: 1349px) {5887 #data-analytics {5888 5889 }5890 }58915892 /* Desktop: 1350px and up */5893 @media only screen and (min-width: 1350px) {5894 #data-analytics {5895 5896 }5897 }5898</style>58995900</div>5901<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">59025903 5904 5905 5906 <div id="container-71109bc609" class="p-t-30 p-b-30 lap-p-t-30 5907 lap-p-b-30 tab-p-t-15 tab-p-b-15 5908 mob-p-t-15 mob-p-b-15 5909 5910 5911 d-top-align d-left-align 5912 l-left-align l-top-align t-left-align 5913 t-top-align m-top-align m-left-align 5914 5915 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 5916 " data-cmp-is="nv-container">59175918 5919 5920 5921 5922 5923 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch ">5924 5925 <div class="nv-image image">59265927<div id="nv-image-0a5084ecca" class="cmp-image 5928 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_739282046/nv_image.coreimg.100{.width}.jpeg/1776427207462/hopper-mig-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-mig-2c50-d@2x.jpg" data-title="NVIDIA Multi-Instance GPU" data-cmp-type="renditionUpload">5929 5930 5931 5932 <noscript data-cmp-hook-image="noscript">5933 5934 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_739282046/nv_image.coreimg.jpeg/1776427207462/hopper-mig-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" alt="NVIDIA Multi-Instance GPU" title="NVIDIA Multi-Instance GPU" data-analytics="nv-image-0a5084ecca" data-cmp-hook-image="image"/>5935 5936 </noscript>59375938 5939 5940 5941 5942 </div>59435944 5945</div>5946<div class="nv-container container responsivegrid">59475948 5949 5950 <div id="container-d1c11b63cd" class=" 5951 5952 5953 5954 5955 5956 5957 5958 5959 5960 5961 " data-cmp-is="nv-container">59625963 5964 596559665967 59685969 <div class="general-container">5970 597159725973<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">5974 5975 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">5976 5977 5978 <div id="nv-title-ef7288506c" class="general-container-text ">5979 <div class="text-left lap-text-left tab-text-left mob-text-left">5980 <h2 class="title ">5981 5982 Enterprise-Ready Utilization5983 5984 </h2>5985 </div>5986 </div>5987 5988 59895990 5991 </div>5992<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">5993 5994 5995 <div id="nv-text-a6334088c5" class="general-container-text ">5996 <div class="text-left lap-text-left tab-text-left mob-text-left">5997 <div class="description ">5998 <p>IT managers seek to maximize utilization (both peak and average) of compute resources in the data center. They often employ dynamic reconfiguration of compute to right-size resources for the workloads in use. </p> 5999<p>H100 with MIG lets infrastructure managers standardize their GPU-accelerated infrastructure while having the flexibility to provision GPU resources with greater granularity to securely provide developers the right amount of accelerated compute and optimize usage of all their GPU resources.</p>6000 </div>6001 </div>6002 </div>60036004 600560066007</div>6008<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">6009<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">6010 6011 <a id="nv-button-3ae2ce5a27" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/">6012 6013 60146015 <span class="btn-text">Learn More About MIG</span>6016 6017 </a>6018</div>601960206021</div>60226023 6024</div>60256026 </div>6027 6028 </div>6029 60306031 6032 6033 60346035 6036<style>6037 #container-d1c11b63cd {6038 6039 }60406041 /* Mobile: up to 639px */6042 @media only screen and (max-width: 639px) {6043 #container-d1c11b63cd {6044 6045 }6046 }60476048 /* Tablet: 640px to 1023px */6049 @media only screen and (min-width: 640px) and (max-width: 1023px) {6050 #container-d1c11b63cd {6051 6052 }6053 }60546055 /* Laptop: 1024px to 1349px */6056 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6057 #container-d1c11b63cd {6058 6059 }6060 }60616062 /* Desktop: 1350px and up */6063 @media only screen and (min-width: 1350px) {6064 #container-d1c11b63cd {6065 6066 }6067 }6068</style>60696070</div>60716072 6073 </div>6074 6075 </div>60766077 6078 60796080 6081<style>6082 #container-71109bc609 {6083 6084 }60856086 /* Mobile: up to 639px */6087 @media only screen and (max-width: 639px) {6088 #container-71109bc609 {6089 6090 }6091 }60926093 /* Tablet: 640px to 1023px */6094 @media only screen and (min-width: 640px) and (max-width: 1023px) {6095 #container-71109bc609 {6096 6097 }6098 }60996100 /* Laptop: 1024px to 1349px */6101 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6102 #container-71109bc609 {6103 6104 }6105 }61066107 /* Desktop: 1350px and up */6108 @media only screen and (min-width: 1350px) {6109 #container-71109bc609 {6110 6111 }6112 }6113</style>61146115</div>6116<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">61176118 6119 6120 6121 <div id="confidential-computing" class="p-t-30 p-b-30 lap-p-t-30 6122 lap-p-b-30 tab-p-t-15 tab-p-b-15 6123 mob-p-t-15 mob-p-b-15 6124 6125 6126 d-top-align d-left-align 6127 l-left-align l-top-align t-left-align 6128 t-top-align m-top-align m-left-align 6129 6130 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 6131 " data-cmp-is="nv-container">61326133 6134 6135 6136 6137 6138 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch p-column-reverse ">6139 6140 <div class="nv-container container responsivegrid">61416142 6143 6144 <div id="container-951e0c5877" class=" 6145 6146 6147 6148 6149 6150 6151 6152 6153 6154 6155 " data-cmp-is="nv-container">61566157 6158 615961606161 61626163 <div class="general-container">6164 616561666167<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">6168 6169 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">6170 6171 6172 <div id="nv-title-0154b81cfe" class="general-container-text ">6173 <div class="text-left lap-text-left tab-text-left mob-text-left">6174 <h2 class="title ">6175 6176 Built-In Confidential Computing6177 6178 </h2>6179 </div>6180 </div>6181 6182 61836184 6185 </div>6186<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">6187 6188 6189 <div id="nv-text-06326a1d72" class="general-container-text ">6190 <div class="text-left lap-text-left tab-text-left mob-text-left">6191 <div class="description ">6192 <p>Traditional Confidential Computing solutions are CPU-based, which is too limited for compute-intensive workloads such as AI at scale. NVIDIA Confidential Computing is a built-in security feature of the <a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/">NVIDIA Hopper architecture</a> that made H100 the world’s first accelerator with these capabilities. With <a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/">NVIDIA Blackwell</a>, the opportunity to exponentially increase performance while protecting the confidentiality and integrity of data and applications in use has the ability to unlock data insights like never before. Customers can now use a hardware-based trusted execution environment (TEE) that secures and isolates the entire workload in the most performant way.</p>6193 </div>6194 </div>6195 </div>61966197 619861996200</div>6201<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">6202<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">6203 6204 <a id="nv-button-76095ad454" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/">6205 6206 62076208 <span class="btn-text">Learn More About NVIDIA Confidential Computing</span>6209 6210 </a>6211</div>621262136214</div>62156216 6217</div>62186219 </div>6220 6221 </div>6222 62236224 6225 6226 62276228 6229<style>6230 #container-951e0c5877 {6231 6232 }62336234 /* Mobile: up to 639px */6235 @media only screen and (max-width: 639px) {6236 #container-951e0c5877 {6237 6238 }6239 }62406241 /* Tablet: 640px to 1023px */6242 @media only screen and (min-width: 640px) and (max-width: 1023px) {6243 #container-951e0c5877 {6244 6245 }6246 }62476248 /* Laptop: 1024px to 1349px */6249 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6250 #container-951e0c5877 {6251 6252 }6253 }62546255 /* Desktop: 1350px and up */6256 @media only screen and (min-width: 1350px) {6257 #container-951e0c5877 {6258 6259 }6260 }6261</style>62626263</div>6264<div class="nv-image image">62656266<div id="nv-image-bf57d05c85" class="cmp-image 6267 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_934925062/nv_image.coreimg.100{.width}.jpeg/1776427207578/hopper-h100-confidential-computing-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-confidential-computing-2c50-d@2x.jpg" data-title="NVIDIA Confidential Computing" data-cmp-type="renditionUpload">6268 6269 6270 6271 <noscript data-cmp-hook-image="noscript">6272 6273 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_934925062/nv_image.coreimg.jpeg/1776427207578/hopper-h100-confidential-computing-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" alt="NVIDIA Confidential Computing" title="NVIDIA Confidential Computing" data-analytics="nv-image-bf57d05c85" data-cmp-hook-image="image"/>6274 6275 </noscript>62766277 6278 6279 6280 6281 </div>62826283 6284</div>62856286 6287 </div>6288 6289 </div>62906291 6292 62936294 6295<style>6296 #confidential-computing {6297 6298 }62996300 /* Mobile: up to 639px */6301 @media only screen and (max-width: 639px) {6302 #confidential-computing {6303 6304 }6305 }63066307 /* Tablet: 640px to 1023px */6308 @media only screen and (min-width: 640px) and (max-width: 1023px) {6309 #confidential-computing {6310 6311 }6312 }63136314 /* Laptop: 1024px to 1349px */6315 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6316 #confidential-computing {6317 6318 }6319 }63206321 /* Desktop: 1350px and up */6322 @media only screen and (min-width: 1350px) {6323 #confidential-computing {6324 6325 }6326 }6327</style>63286329</div>6330<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">63316332 6333 6334 6335 <div id="grace-hopper" class="p-t-30 p-b-75 lap-p-t-30 6336 lap-p-b-75 tab-p-t-15 tab-p-b-45 6337 mob-p-t-15 mob-p-b-45 6338 6339 6340 d-top-align d-left-align 6341 l-left-align l-top-align t-left-align 6342 t-top-align m-top-align m-left-align 6343 6344 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 6345 " data-cmp-is="nv-container">63466347 6348 6349 6350 6351 6352 <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-1 p-col-1 d-justify-center l-justify-center t-justify-center p-justify-center flex-align-stretch ">6353 6354 <div class="nv-image image">63556356<div id="nv-image-7cd82c92cb" class="cmp-image 6357 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_177275295/nv_image.coreimg.100{.width}.jpeg/1776427207621/hopper-h100-grace-hopper-2c50-d-2x.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/gtcs22/data-center/h100/hopper-h100-grace-hopper-2c50-d@2x.jpg" data-title="NVIDIA Grace Hopper™ Superchip" data-cmp-type="renditionUpload">6358 6359 6360 6361 <noscript data-cmp-hook-image="noscript">6362 6363 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_177275295/nv_image.coreimg.jpeg/1776427207621/hopper-h100-grace-hopper-2c50-d-2x.jpeg" class="cmp-image__image" itemprop="contentUrl" alt="NVIDIA Grace Hopper™ Superchip" title="NVIDIA Grace Hopper™ Superchip" data-analytics="nv-image-7cd82c92cb" data-cmp-hook-image="image"/>6364 6365 </noscript>63666367 6368 6369 6370 6371 </div>63726373 6374</div>6375<div class="nv-container container responsivegrid">63766377 6378 6379 <div id="container-4d4cac87a3" class=" 6380 6381 6382 6383 6384 6385 6386 6387 6388 6389 6390 " data-cmp-is="nv-container">63916392 6393 639463956396 63976398 <div class="general-container">6399 640064016402<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">6403 6404 <div class="nv-title text h--small aem-GridColumn aem-GridColumn--default--12">6405 6406 6407 <div id="nv-title-5b50e286c0" class="general-container-text ">6408 <div class="text-left lap-text-left tab-text-left mob-text-left">6409 <h2 class="title ">6410 6411 Exceptional Performance for Large-Scale AI and HPC6412 6413 </h2>6414 </div>6415 </div>6416 6417 64186419 6420 </div>6421<div class="nv-text text aem-GridColumn aem-GridColumn--default--12">6422 6423 6424 <div id="nv-text-482e320ca8" class="general-container-text ">6425 <div class="text-left lap-text-left tab-text-left mob-text-left">6426 <div class="description ">6427 <p>The Hopper GPU will power the NVIDIA Grace Hopper™ CPU+GPU architecture, purpose-built for terabyte-scale accelerated computing and providing 10X higher performance on large-model AI and HPC. The NVIDIA Grace CPU leverages the flexibility of the Arm® architecture to create a CPU and server architecture designed from the ground up for accelerated computing. The Hopper GPU is paired with the Grace CPU using NVIDIA’s ultra-fast chip-to-chip interconnect, delivering 900GB/s of bandwidth, 7X faster than PCIe Gen5. This innovative design will deliver up to 30X higher aggregate system memory bandwidth to the GPU compared to today's fastest servers and up to 10X higher performance for applications running terabytes of data.</p>6428 </div>6429 </div>6430 </div>64316432 643364346435</div>6436<div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12">6437<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">6438 6439 <a id="nv-button-7b17d6ae0e" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/data-center/grace-cpu/">6440 6441 64426443 <span class="btn-text">Learn More About NVIDIA Grace</span>6444 6445 </a>6446</div>644764486449</div>64506451 6452</div>64536454 </div>6455 6456 </div>6457 64586459 6460 6461 64626463 6464<style>6465 #container-4d4cac87a3 {6466 6467 }64686469 /* Mobile: up to 639px */6470 @media only screen and (max-width: 639px) {6471 #container-4d4cac87a3 {6472 6473 }6474 }64756476 /* Tablet: 640px to 1023px */6477 @media only screen and (min-width: 640px) and (max-width: 1023px) {6478 #container-4d4cac87a3 {6479 6480 }6481 }64826483 /* Laptop: 1024px to 1349px */6484 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6485 #container-4d4cac87a3 {6486 6487 }6488 }64896490 /* Desktop: 1350px and up */6491 @media only screen and (min-width: 1350px) {6492 #container-4d4cac87a3 {6493 6494 }6495 }6496</style>64976498</div>64996500 6501 </div>6502 6503 </div>65046505 6506 65076508 6509<style>6510 #grace-hopper {6511 6512 }65136514 /* Mobile: up to 639px */6515 @media only screen and (max-width: 639px) {6516 #grace-hopper {6517 6518 }6519 }65206521 /* Tablet: 640px to 1023px */6522 @media only screen and (min-width: 640px) and (max-width: 1023px) {6523 #grace-hopper {6524 6525 }6526 }65276528 /* Laptop: 1024px to 1349px */6529 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6530 #grace-hopper {6531 6532 }6533 }65346535 /* Desktop: 1350px and up */6536 @media only screen and (min-width: 1350px) {6537 #grace-hopper {6538 6539 }6540 }6541</style>65426543</div>6544<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">65456546 6547 6548 <div id="container-8e35626ff8" class="p-t-0 p-b-75 lap-p-t-0 6549 lap-p-b-75 tab-p-t-0 tab-p-b-456550 mob-p-t-0 mob-p-b-45 6551 6552 6553 d-top-align d-left-align 6554 l-left-align l-top-align t-left-align 6555 t-top-align m-top-align m-left-align 6556 6557 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 6558 6559 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" data-cmp-disableMidgroundAutoHeight="false" data-cmp-disableVideoAutoHeight="false">65606561 6562 656365646565 65666567 <div class="general-container">6568 656965706571<div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 ">6572 6573 <div class="nv-image image aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--8 aem-GridColumn--offset--default--2 aem-GridColumn--offset--phone--0">65746575<div id="h100-nvl" class="cmp-image 6576 d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_1820991/nv_image.coreimg.100{.width}.jpeg/1776427207713/hpc-web-gtc23-h100-2560x1440.jpeg" data-cmp-widths="190,410,630,850,1070,1290" data-asset="/content/dam/en-zz/Solutions/Data-Center/h100/hpc-web-gtc23-h100-2560x1440.jpg" data-title="Supercharge Large Language Model Inference with H100 NVL" data-cmp-type="renditionUpload">6577 6578 6579 6580 <noscript data-cmp-hook-image="noscript">6581 6582 <img src="/content/nvidiaGDC/us/en_US/data-center/h100/_jcr_content/root/responsivegrid/nv_container_1820991/nv_image.coreimg.jpeg/1776427207713/hpc-web-gtc23-h100-2560x1440.jpeg" class="cmp-image__image" itemprop="contentUrl" alt="Supercharge Large Language Model Inference with H100 NVL" title="Supercharge Large Language Model Inference with H100 NVL" data-analytics="h100-nvl" data-cmp-hook-image="image"/>6583 6584 </noscript>65856586 6587 6588 6589 6590 </div>65916592 6593</div>6594<div class="nv-title text h--medium aem-GridColumn--default--none aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--default--1">6595 6596 6597 <div id="nv-title-e195379d0d" class="general-container-text ">6598 <div class="text-center lap-text-center tab-text-center mob-text-center">6599 <h2 class="title ">6600 6601 Supercharge Large Language Model Inference With H100 NVL 6602 6603 </h2>6604 </div>6605 </div>6606 6607 66086609 6610 </div>6611<div class="nv-text text aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--1">6612 6613 6614 <div id="nv-text-378dad76c6" class="general-container-text ">6615 <div class="text-center lap-text-center tab-text-center mob-text-center">6616 <div class="description ">6617 <p>For LLMs up to 70 billion parameters (Llama 2 70B), the PCIe-based NVIDIA H100 NVL with NVLink bridge utilizes Transformer Engine, NVLink, and 188GB HBM3 memory to provide optimum performance and easy scaling across any data center, bringing LLMs to the mainstream. Servers equipped with H100 NVL GPUs increase Llama 2 70B performance up to 5x over NVIDIA A100 systems while maintaining low latency in power-constrained data center environments.</p>6618 </div>6619 </div>6620 </div>66216622 662366246625</div>66266627 6628</div>66296630 </div>6631 6632 </div>6633 66346635 6636 6637 66386639 6640<style>6641 #container-8e35626ff8 {6642 6643 }66446645 /* Mobile: up to 639px */6646 @media only screen and (max-width: 639px) {6647 #container-8e35626ff8 {6648 6649 }6650 }66516652 /* Tablet: 640px to 1023px */6653 @media only screen and (min-width: 640px) and (max-width: 1023px) {6654 #container-8e35626ff8 {6655 6656 }6657 }66586659 /* Laptop: 1024px to 1349px */6660 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6661 #container-8e35626ff8 {6662 6663 }6664 }66656666 /* Desktop: 1350px and up */6667 @media only screen and (min-width: 1350px) {6668 #container-8e35626ff8 {6669 6670 }6671 }6672</style>66736674</div>6675<div class="nv-container container responsivegrid nv-container--theme-dark aem-GridColumn aem-GridColumn--default--12">66766677 6678 6679 <div id="bm-uf" class="p-t-0 p-b-0 lap-p-t-0 6680 lap-p-b-0 tab-p-t-0 tab-p-b-06681 mob-p-t-45 mob-p-b-15 6682 with-image-as-bg 6683 6684 d-top-align d-left-align 6685 l-left-align l-top-align t-center-align 6686 t-middle-align m-top-align m-left-align 6687 m-cont-h-l 6688 d-content-align-center l-content-align-center t-content-align-center m-content-align-top 6689 6690 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" data-cmp-disableMidgroundAutoHeight="false" data-cmp-disableVideoAutoHeight="false">66916692 6693 6694 6695 <div class="nv-img-as-bg d-image-center l-image-center t-image-center p-image-center ">6696 6697 <picture data-nv-lazyload data-srcset-mobile="/content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-af360-p.jpg, /content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-af360-p@2x.jpg 2x" data-srcset-tablet="/content/dam/en-zz/Solutions/Data-Center/activate-license/ai-enterprise-kv-bm-m460-t.jpg, /content/dam/en-zz/Solutions/Data-Center/activate-license/ai-enterprise-kv-bm-m460-t@2x.jpg 2x" data-srcset-laptop="/content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-m460-l.jpg, /content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-m460-l@2x.jpg 2x" data-srcset-desktop="/content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-m460-d.jpg, /content/dam/en-zz/Solutions/Data-Center/h100/ai-enterprise-kv-bm-m460-d@2x.jpg 2x">6698 <source data-source-mobile srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(max-width: 639px)"/>6699 <source data-source-tablet srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:640px) and (max-width:1023px)"/>6700 <source data-source-laptop srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:1024px) and (max-width:1349px)"/>6701 <source data-source-desktop srcset="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" media="(min-width:1350px)"/>6702 6703 <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAEAAAABCAQAAAC1HAwCAAAAC0lEQVR42mNkYAAAAAYAAjCB0C8AAAAASUVORK5CYII=" alt title id="image-bm-uf" onload="window.initLazyLoadingImages('bm-uf');"/>6704 6705 6706 </picture>6707 67086709 6710 </div>6711 67126713 671467156716 67176718 <div class="general-container">6719 672067216722<div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 ">6723 6724 <div class="nv-container container responsivegrid aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--6 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0">67256726 6727 6728 <div id="container-15166bda69" class="p-t-0 p-b-0 lap-p-t-0 6729 lap-p-b-0 tab-p-t-0 tab-p-b-06730 mob-p-t-0 mob-p-b-0 6731 6732 6733 d-top-align d-left-align 6734 l-left-align l-top-align t-left-align 6735 t-top-align m-top-align m-left-align 6736 6737 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 6738 6739 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">67406741 6742 674367446745 67466747 <div class="general-container">6748 674967506751<div class="aem-Grid aem-Grid--6 aem-Grid--tablet--12 aem-Grid--default--6 aem-Grid--phone--12 aem-Grid--laptop--6 ">6752 6753 <div class="nv-title text h--medium aem-GridColumn--default--none aem-GridColumn--laptop--none aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0 aem-GridColumn--laptop--6 aem-GridColumn--offset--laptop--0 aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--6">6754 6755 6756 <div id="universal-scene" class="general-container-text ">6757 <div class="text-left lap-text-left tab-text-left mob-text-left">6758 <h2 class="title " style="color: #ffffff;">6759 6760 Enterprise-Ready: AI Software Streamlines Development and Deployment 6761 6762 </h2>6763 </div>6764 </div>6765 6766 67676768 6769 </div>6770<div class="nv-separator separator aem-GridColumn--tablet--12 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6">6771 6772 6773<div id="nv-separator-64a86596e6" class="cmp-separator">6774 6775 <style>6776 6777 6778 6779 6780 6781 </style>6782 6783</div></div>6784<div class="nv-text text nv-no-top-padding aem-GridColumn--default--none aem-GridColumn--laptop--none aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0 aem-GridColumn--laptop--6 aem-GridColumn--offset--laptop--0 aem-GridColumn--offset--tablet--0 aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--tablet--8 aem-GridColumn--default--6">6785 6786 6787 <div id="nv-text-d6f01dfd06" class="general-container-text ">6788 <div class="text-left lap-text-left tab-text-left mob-text-left">6789 <div class="description ">6790 <p>NVIDIA H100 NVL comes with a five-year <a href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/">NVIDIA AI Enterprise</a> subscription. This software accelerates AI development and deployment for production-ready generative AI solutions, including computer vision, speech AI, retrieval augmented generation (RAG), and more. NVIDIA AI Enterprise includes <a href="https://www.nvidia.com/en-us/ai/">NVIDIA NIM</a>™, a set of easy-to-use microservices designed to speed up enterprise generative AI deployment. Together, deployments have enterprise-grade security, manageability, stability, and support. This results in performance-optimized AI solutions that deliver faster business value and actionable insights.</p>6791 </div>6792 </div>6793 </div>67946795 679667976798</div>6799<div class="nv-button button nv-button-text nv-button-caret nv-no-top-padding aem-GridColumn--tablet--12 aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6">6800<div class="nv-button-standard button-left button-lap-left button-tab-left button-mob-left">6801 6802 <a id="nv-button-24dff9db5a" class="btn-content btncta " target="_self" data-cmp-clickable="false " href="https://www.nvidia.com/en-us/data-center/activate-license/">6803 6804 68056806 <span class="btn-text">Activate Your NVIDIA AI Enterprise License</span>6807 6808 </a>6809</div>681068116812</div>68136814 6815</div>68166817 </div>6818 6819 </div>6820 68216822 6823 6824 68256826 6827<style>6828 #container-15166bda69 {6829 6830 }68316832 /* Mobile: up to 639px */6833 @media only screen and (max-width: 639px) {6834 #container-15166bda69 {6835 6836 }6837 }68386839 /* Tablet: 640px to 1023px */6840 @media only screen and (min-width: 640px) and (max-width: 1023px) {6841 #container-15166bda69 {6842 6843 }6844 }68456846 /* Laptop: 1024px to 1349px */6847 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6848 #container-15166bda69 {6849 6850 }6851 }68526853 /* Desktop: 1350px and up */6854 @media only screen and (min-width: 1350px) {6855 #container-15166bda69 {6856 6857 }6858 }6859</style>68606861</div>6862<div class="nv-separator separator nv-separator--full-width aem-GridColumn aem-GridColumn--default--12">6863 6864 6865<div id="nv-separator-ed3246743f" class="cmp-separator">6866 6867 <style>6868 6869 6870 6871 6872 6873 @media screen and (max-width: 639px){6874 #nv-separator-ed3246743f{6875 height:calc(56.25vw);6876 }6877 }6878 6879 </style>6880 6881</div></div>6882<div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12">68836884 6885 6886 <div id="nv-rawhtml-894542226b" class="general-container-text ">6887 6888 68896890 <div> <style>6891@media (max-width: 639px){6892 #bm-uf{height:auto!important;}6893 #bm-uf>.nv-video-as-bg{height:auto!important;}6894 #bm-uf>.nv-video-as-bg>video{bottom: 0;width: 100%;}6895 #bm-uf>.nv-img-as-bg>picture>img{bottom: 0;width: 100%;}6896}6897</style></div> 68986899 </div>6900</div>69016902 6903</div>69046905 </div>6906 6907 </div>6908 69096910 6911 6912 69136914 6915<style>6916 #bm-uf {6917 background-color:#000000;6918 }69196920 /* Mobile: up to 639px */6921 @media only screen and (max-width: 639px) {6922 #bm-uf {6923 6924 }6925 }69266927 /* Tablet: 640px to 1023px */6928 @media only screen and (min-width: 640px) and (max-width: 1023px) {6929 #bm-uf {6930 6931 }6932 }69336934 /* Laptop: 1024px to 1349px */6935 @media only screen and (min-width: 1024px) and (max-width: 1349px) {6936 #bm-uf {6937 6938 }6939 }69406941 /* Desktop: 1350px and up */6942 @media only screen and (min-width: 1350px) {6943 #bm-uf {6944 6945 }6946 }6947</style>69486949</div>6950<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">69516952 6953 6954 <div id="specifications" class="p-t-75 p-b-75 lap-p-t-75 6955 lap-p-b-75 tab-p-t-45 tab-p-b-456956 mob-p-t-45 mob-p-b-45 6957 6958 6959 d-top-align d-left-align 6960 l-left-align l-top-align t-left-align 6961 t-top-align m-top-align m-left-align 6962 6963 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 6964 6965 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">69666967 6968 696969706971 69726973 <div class="general-container">6974 697569766977<div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 ">6978 6979 <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12">6980 6981 6982 <div id="nv-title-2eaa66d122" class="general-container-text ">6983 <div class="text-center lap-text-center tab-text-center mob-text-center">6984 <h2 class="title ">6985 6986 Product Specifications6987 6988 </h2>6989 </div>6990 </div>6991 6992 69936994 6995 </div>6996<div class="nv-rawhtml aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--tablet--none aem-GridColumn--phone--10 aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--1 aem-GridColumn--offset--default--1">69976998 6999 7000 <div id="nv-rawhtml-d0e2ba1d51" class="general-container-text ">7001 7002 70037004 <div> <style>7005 /*.nv-teaser #nv-button-row-teaser .general-container-text > div {7006 width: 100% !important;7007 }*/7008 #compareSpecsChart {7009 /*background: #1a1a1a;7010 padding-top: 60px;*/7011 }7012 .h100-specs table {7013 width: 100%;7014 padding: 0 30px 0 30px;/*margin-bottom: 30px;*/7015 }7016 table .nv-button {7017 padding: 0;7018 }7019 #tab-h100 .nv-button .btn-content {7020 position: static;7021 }7022 #tab-h100 tr td:first-child {7023 width: 190px;7024 }7025 #tab-h100 tr td:nth-child(2), #tab-h100 tr td:nth-child(3), #tab-h100 tr td:nth-child(4), #tab-h100 tr td:nth-child(5) {7026 width: 350px;7027 }7028 #tab-h100 tr th {7029 border-bottom: 3px solid #000000;7030 }7031 .yellow {7032 color: #fac200;7033 }7034 .h100-specs th, .h100-specs td {7035 padding: 15px;7036 }7037 .h100-specs td {7038 border-bottom: 1px solid #cccccc;7039 text-align: center;7040 line-height: 1.5em;7041 font-size: 14px;/*min-width: 158px;*/7042 }7043 .h100-specs td:first-child {7044 text-align: left;7045 padding-left: 10px;7046 font-weight: bold;7047 width: 180px;7048 }7049 .h100-specs th:first-child {7050 border-bottom: 1px solid #000000;7051 position: sticky;7052 left: 0;7053 }7054 .h100-specs th {7055 text-align: center;7056 font-size: 16px;7057 line-height: 24px;7058 border-bottom: 1px solid #000000;7059 padding-top: 20px;7060 font-weight: bold;7061 }7062 .h100-specs table tbody tr:first-child td {7063 padding-top: 30px;7064 }7065 .h100-specs tr:last-child td {7066 border-bottom: none;7067 }7068 .h100-specs tr td:nth-child(even) {7069 background: #eeeeee;7070 }7071 .h100-specs tr td:nth-child(odd) {7072 background: #f7f7f7;7073 }7074 .legal.color-lightuigraphics {7075 color: #999;7076 }7077 .h100-specs .tr_blank {7078 height: 25px;7079 }7080 .h100-specs .tr_blank td {7081 padding: 0;7082 border: none;7083 }7084 .h100-specs .no-border td {7085 border: none;7086 }7087 .expand-btn {7088 display: block;7089 text-align: center;7090 margin: 20px 0;7091 }7092 .expand-btn .btn {7093 cursor: pointer;7094 }7095 #compareSpecsChart.h100-specs {7096 position: relative;7097 overflow-y: hidden;7098 }7099 .description.p--small.h100-specs-legal p {7100 color: #1a1a1a;7101 text-align: center;7102 }7103 .description.p--small.h100-specs-legal {7104 padding: 30px;7105 }7106 .description.p--small.h100-specs-legal ul {7107 font-size: 11px;7108 line-height: 1.4em;7109 color: #1a1a1a;7110 margin: 0 0 10px 0;7111 }7112 7113 @media screen and (min-width: 1025px) and (max-width: 1349px) {7114 .scrolling {7115 overflow-x: scroll;7116 }7117 .h100-specs th:first-child {7118 position: sticky;7119 left: 0;7120 background: #f7f7f7;7121 }7122 .h100-specs td:first-child {7123 text-align: left;7124 left: 0;7125 position: sticky;7126 background: #f7f7f7;7127 width: 180px;7128 }7129 .h100-specs table {7130 padding-left: 0px;7131 padding-right: 0px;7132 }7133 }7134 7135 @media screen and (max-width: 1024px) and (min-width: 768px) {7136 .scrolling {7137 overflow-x: scroll;7138 }7139 .h100-specs th:first-child {7140 position: sticky;7141 left: 0;7142 background: #f7f7f7;7143 }7144 .h100-specs td:first-child {7145 text-align: left;7146 left: 0;7147 position: sticky;7148 background: #f7f7f7;7149 }7150 .h100-specs td {7151 min-width: 160px;7152 }7153 .h100-specs table {7154 padding-left: 0px;7155 padding-right: 0px;7156 }7157 }7158 7159 @media screen and (max-width: 767px) {7160 #compareSpecsChart.h100-specs {7161 /* max-height: 355px;*/7162 }7163 .scrolling {7164 overflow-x: scroll;7165 }7166 .h100-specs th:first-child {7167 position: sticky;7168 left: 0;7169 background: #f7f7f7;7170 }7171 .h100-specs td:first-child {7172 text-align: left;7173 left: 0;7174 position: sticky;7175 background: #f7f7f7;7176 }7177 .h100-specs td {7178 min-width: 115px;7179 }7180 .h100-specs th br {7181 display: none;7182 }7183 .h100-specs table {7184 padding-left: 0px;7185 padding-right: 0px;7186 }7187 .description.p--small.h100-specs-legal {7188 padding: 20px 20px 0 15px;7189 }7190 }7191 </style><div id="SpecsChart" class="h100-specs scrolling"> 7192 <table id="tab-h100" cellspacing="0" cellpadding="0"> 7193 <thead> 7194 <tr> 7195 <th> </th> 7196 <th> H100 SXM </th> 7197 <th> H100 NVL</th> 7198 </tr> 7199 </thead> 7200 <tbody> 7201 <tr> 7202 <td> FP64 </td> 7203 <td> 34 teraFLOPS </td> 7204 <td> 30 teraFLOPs </td> 7205 </tr> 7206 <tr> 7207 <td> FP64 Tensor Core </td> 7208 <td> 67 teraFLOPS </td> 7209 <td> 60 teraFLOPs </td> 7210 </tr> 7211 <tr> 7212 <td> FP32 </td> 7213 <td> 67 teraFLOPS </td> 7214 <td> 60 teraFLOPs </td> 7215 </tr> 7216 <tr> 7217 <td> TF32 Tensor Core<sup>*</sup> </td> 7218 <td> 989 teraFLOPS</td> 7219 <td> 835 teraFLOPs</td> 7220 </tr> 7221 <tr> 7222 <td> BFLOAT16 Tensor Core<sup>*</sup> </td> 7223 <td> 1,979 teraFLOPS</td> 7224 <td> 1,671 teraFLOPS</td> 7225 </tr> 7226 <tr> 7227 <td> FP16 Tensor Core<sup>*</sup> </td> 7228 <td> 1,979 teraFLOPS</td> 7229 <td> 1,671 teraFLOPS</td> 7230 </tr> 7231 <tr> 7232 <td> FP8 Tensor Core<sup>*</sup> </td> 7233 <td> 3,958 teraFLOPS</td> 7234 <td> 3,341 teraFLOPS</td> 7235 </tr> 7236 <tr> 7237 <td> INT8 Tensor Core<sup>*</sup> </td> 7238 <td> 3,958 TOPS</td> 7239 <td> 3,341 TOPS</td> 7240 </tr> 7241 <tr> 7242 <td> GPU Memory </td> 7243 <td> 80GB </td> 7244 <td> 94GB</td> 7245 </tr> 7246 <tr> 7247 <td> GPU Memory Bandwidth </td> 7248 <td> 3.35TB/s </td> 7249 <td> 3.9TB/s </td> 7250 </tr> 7251 <tr> 7252 <td> Decoders </td> 7253 <td> 7 NVDEC<br> 7 JPEG </td> 7254 <td> 7 NVDEC<br> 7 JPEG </td> 7255 </tr> 7256 <tr> 7257 <td> Max Thermal Design Power (TDP) </td> 7258 <td> Up to 700W (configurable) </td> 7259 <td> 350-400W (configurable) </td> 7260 </tr> 7261 <tr> 7262 <td> Multi-Instance GPUs </td> 7263 <td> Up to 7 MIGS @ 10GB each </td> 7264 <td> Up to 7 MIGS @ 12GB each </td> 7265 </tr> 7266 <tr> 7267 <td> Form Factor </td> 7268 <td> SXM </td> 7269 <td> PCIe<br> dual-slot air-cooled</td> 7270 </tr> 7271 <tr> 7272 <td> Interconnect </td> 7273 <td> NVIDIA NVLink™: 900GB/s <br> PCIe Gen5: 128GB/s </td> 7274 <td> NVIDIA NVLink: 600GB/s <br> PCIe Gen5: 128GB/s</td> 7275 </tr> 7276 <tr> 7277 <td> Server Options </td> 7278 <td> NVIDIA HGX H100 Partner and NVIDIA-<br>Certified Systems<sup>™</sup> with 4 or 8 GPUs <br>NVIDIA DGX H100 with 8 GPUs </td> 7279 <td>Partner and NVIDIA-Certified Systems with 1–8 GPUs</td> 7280 </tr> 7281 <tr> 7282 <td> NVIDIA AI Enterprise </td> 7283 <td> Add-on </td> 7284 <td> Included </td> 7285 </tr> 7286 </tbody> 7287 </table> 7288</div> 7289<div class="description h100-specs-legal">7290 <span class="p--small"><br> * With sparsity</span> 7291</div></div> 72927293 </div>7294</div>72957296 7297</div>72987299 </div>7300 7301 </div>7302 73037304 7305 7306 73077308 7309<style>7310 #specifications {7311 background-color:#f7f7f7;7312 }73137314 /* Mobile: up to 639px */7315 @media only screen and (max-width: 639px) {7316 #specifications {7317 7318 }7319 }73207321 /* Tablet: 640px to 1023px */7322 @media only screen and (min-width: 640px) and (max-width: 1023px) {7323 #specifications {7324 7325 }7326 }73277328 /* Laptop: 1024px to 1349px */7329 @media only screen and (min-width: 1024px) and (max-width: 1349px) {7330 #specifications {7331 7332 }7333 }73347335 /* Desktop: 1350px and up */7336 @media only screen and (min-width: 1350px) {7337 #specifications {7338 7339 }7340 }7341</style>73427343</div>7344<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">73457346 7347 7348 <div id="container-f748603679" class="v1-1 p-t-75 p-b-0 lap-p-t-75 7349 lap-p-b-0 tab-p-t-45 tab-p-b-07350 mob-p-t-45 mob-p-b-0 7351 7352 7353 d-top-align d-left-align 7354 l-left-align l-top-align t-left-align 7355 t-top-align m-top-align m-left-align 7356 7357 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 7358 7359 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">7360 7361 7362 7363 73647365 7366 7367 <div class="general-container">7368 736973707371<div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 ">7372 7373 <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12">7374 7375 7376 <div id="nv-title-2a352a2038" class="general-container-text ">7377 <div class="text-center lap-text-center tab-text-center mob-text-center">7378 <h2 class="title ">7379 7380 NVIDIA H100 GPU FAQs7381 7382 </h2>7383 </div>7384 </div>7385 7386 73877388 7389 </div>7390<div class="nv-accordion accordion panelcontainer h--smaller aem-GridColumn--tablet--12 aem-GridColumn--offset--tablet--0 aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn--tablet--none aem-GridColumn aem-GridColumn--default--10 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--1">73917392<div id="nv-accordion-d6b6de005c" class="cmp-accordion 7393 text-left lap-text-left tab-text-left mob-text-left" data-cmp-is="accordion">7394 <div class="cmp-accordion__item" data-cmp-hook-accordion="item" id="nv-accordion-d6b6de005c-item-9232382106">7395 <h2 class="cmp-accordion__header">7396 <button id="nv-accordion-d6b6de005c-item-9232382106-button" class="cmp-accordion__button" aria-controls="nv-accordion-d6b6de005c-item-9232382106-panel" data-cmp-hook-accordion="button">7397 <span class="cmp-accordion__title">What is the cost per million tokens on NVIDIA H100?</span>7398 <span class="cmp-accordion__icon fa-light fa-sharp fa-angle-down"></span>7399 </button>7400 </h2>7401 <div data-cmp-hook-accordion="panel" id="nv-accordion-d6b6de005c-item-9232382106-panel" class="cmp-accordion__panel cmp-accordion__panel--hidden" role="region" aria-labelledby="nv-accordion-d6b6de005c-item-9232382106-button"><div class="nv-container container responsivegrid">74027403 7404 7405 <div id="container-9232382106" class="v1-1 7406 7407 7408 7409 7410 7411 7412 7413 7414 7415 7416 " data-cmp-is="nv-container">7417 7418 7419 7420 74217422 7423 7424 <div class="general-container">7425 742674277428<div class="aem-Grid aem-Grid--10 aem-Grid--default--10 ">7429 7430 <div class="nv-text text aem-GridColumn aem-GridColumn--default--10">7431 7432 7433 <div id="nv-text-5c7642fd31" class="general-container-text ">7434 <div class="text-left lap-text-left tab-text-left mob-text-left">7435 <div class="description ">7436 <p>NVIDIA H100 delivers inference at approximately $0.09 per million tokens at 66 TPS/user for GPT-OSS-120B using vLLM, according to <a href="https://inferencex.semianalysis.com/" target="_blank">SemiAnalysis InferenceX benchmarks</a> as of April 2026.</p>7437 </div>7438 </div>7439 </div>74407441 744274437444</div>74457446 7447</div>74487449 </div>7450 7451 </div>7452 74537454 7455 7456 74577458 74597460<style>7461 #container-9232382106 {7462 7463 }74647465 /* Mobile: up to 639px */7466 @media only screen and (max-width: 639px) {7467 #container-9232382106 {7468 7469 }7470 }74717472 /* Tablet: 640px to 1023px */7473 @media only screen and (min-width: 640px) and (max-width: 1023px) {7474 #container-9232382106 {7475 7476 }7477 }74787479 /* Laptop: 1024px to 1349px */7480 @media only screen and (min-width: 1024px) and (max-width: 1349px) {7481 #container-9232382106 {7482 7483 }7484 }74857486 /* Desktop: 1350px and up */7487 @media only screen and (min-width: 1350px) {7488 #container-9232382106 {7489 7490 }7491 }7492</style> 74937494</div>7495</div>7496 </div>7497<div class="cmp-accordion__item" data-cmp-hook-accordion="item" id="nv-accordion-d6b6de005c-item-4ea0a44889">7498 <h2 class="cmp-accordion__header">7499 <button id="nv-accordion-d6b6de005c-item-4ea0a44889-button" class="cmp-accordion__button" aria-controls="nv-accordion-d6b6de005c-item-4ea0a44889-panel" data-cmp-hook-accordion="button">7500 <span class="cmp-accordion__title">What is the inference TCO for NVIDIA B200 compared to H100?</span>7501 <span class="cmp-accordion__icon fa-light fa-sharp fa-angle-down"></span>7502 </button>7503 </h2>7504 <div data-cmp-hook-accordion="panel" id="nv-accordion-d6b6de005c-item-4ea0a44889-panel" class="cmp-accordion__panel cmp-accordion__panel--hidden" role="region" aria-labelledby="nv-accordion-d6b6de005c-item-4ea0a44889-button"><div class="nv-container container responsivegrid">75057506 7507 7508 <div id="container-4ea0a44889" class="v1-1 7509 7510 7511 7512 7513 7514 7515 7516 7517 7518 7519 " data-cmp-is="nv-container">7520 7521 7522 7523 75247525 7526 7527 <div class="general-container">7528 752975307531<div class="aem-Grid aem-Grid--10 aem-Grid--default--10 ">7532 7533 <div class="nv-text text aem-GridColumn aem-GridColumn--default--10">7534 7535 7536 <div id="nv-text-1a3e770ca4" class="general-container-text ">7537 <div class="text-left lap-text-left tab-text-left mob-text-left">7538 <div class="description ">7539 <p>The most important metric for AI inference TCO is the cost per token, or the price-performance actually delivered. According to <a href="https://inferencex.semianalysis.com/" target="_blank">SemiAnalysis InferenceX benchmarks</a> as of April 2026, NVIDIA B200 delivers inference at approximately $0.02 per million tokens at 55 TPS/user for GPT-OSS-120B using NVIDIA TensorRT™-LLM—roughly 4.5x cheaper than H100 at $0.09 per million tokens with vLLM.</p>7540 </div>7541 </div>7542 </div>75437544 754575467547</div>75487549 7550</div>75517552 </div>7553 7554 </div>7555 75567557 7558 7559 75607561 75627563<style>7564 #container-4ea0a44889 {7565 7566 }75677568 /* Mobile: up to 639px */7569 @media only screen and (max-width: 639px) {7570 #container-4ea0a44889 {7571 7572 }7573 }75747575 /* Tablet: 640px to 1023px */7576 @media only screen and (min-width: 640px) and (max-width: 1023px) {7577 #container-4ea0a44889 {7578 7579 }7580 }75817582 /* Laptop: 1024px to 1349px */7583 @media only screen and (min-width: 1024px) and (max-width: 1349px) {7584 #container-4ea0a44889 {7585 7586 }7587 }75887589 /* Desktop: 1350px and up */7590 @media only screen and (min-width: 1350px) {7591 #container-4ea0a44889 {7592 7593 }7594 }7595</style> 75967597</div>7598</div>7599 </div>76007601 7602</div>7603</div>76047605 7606</div>76077608 </div>7609 7610 </div>7611 76127613 7614 7615 76167617 76187619<style>7620 #container-f748603679 {7621 7622 }76237624 /* Mobile: up to 639px */7625 @media only screen and (max-width: 639px) {7626 #container-f748603679 {7627 7628 }7629 }76307631 /* Tablet: 640px to 1023px */7632 @media only screen and (min-width: 640px) and (max-width: 1023px) {7633 #container-f748603679 {7634 7635 }7636 }76377638 /* Laptop: 1024px to 1349px */7639 @media only screen and (min-width: 1024px) and (max-width: 1349px) {7640 #container-f748603679 {7641 7642 }7643 }76447645 /* Desktop: 1350px and up */7646 @media only screen and (min-width: 1350px) {7647 #container-f748603679 {7648 7649 }7650 }7651</style> 76527653</div>7654<div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12">76557656 7657 7658 <div id="container-8bf4eb6da5" class="p-t-60 p-b-60 lap-p-t-60 7659 lap-p-b-60 tab-p-t-45 tab-p-b-457660 mob-p-t-45 mob-p-b-45 7661 7662 7663 d-top-align d-left-align 7664 l-left-align l-top-align t-left-align 7665 t-top-align m-top-align m-left-align 7666 7667 d-content-align-top l-content-align-top t-content-align-top m-content-align-top 7668 7669 " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none">76707671 7672 767376747675 76767677 <div class="general-container">7678 767976807681<div class="aem-Grid aem-Grid--12 aem-Grid--default--12 ">7682 7683 <div class="nv-text text aem-GridColumn aem-GridColumn--default--12">7684 7685 7686 <div id="nv-text-5521d4c1a0" class="general-container-text ">7687 <div class="text-center lap-text-center tab-text-center mob-text-center">7688 <div class="description ">7689 <p><span class="p--large">Take a deep dive into the NVIDIA Hopper architecture.</span></p>7690 </div>7691 </div>7692 </div>76937694 769576967697</div>7698<div class="nv-button button aem-GridColumn aem-GridColumn--default--12">7699<div class="nv-button-standard button-center button-lap-center button-tab-center button-mob-center">7700 7701 <a id="nv-button-49cbe97177" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" href="https://resources.nvidia.com/en-us-hopper-architecture/nvidia-h100-tensor-c">7702 7703 77047705 <span class="btn-text">Read Whitepaper</span>7706 7707 </a>7708</div>770977107711</div>77127713 7714</div>77157716 </div>7717 7718 </div>7719 77207721 7722 7723 77247725 7726<style>7727 #container-8bf4eb6da5 {7728 7729 }77307731 /* Mobile: up to 639px */7732 @media only screen and (max-width: 639px) {7733 #container-8bf4eb6da5 {7734 7735 }7736 }77377738 /* Tablet: 640px to 1023px */7739 @media only screen and (min-width: 640px) and (max-width: 1023px) {7740 #container-8bf4eb6da5 {7741 7742 }7743 }77447745 /* Laptop: 1024px to 1349px */7746 @media only screen and (min-width: 1024px) and (max-width: 1349px) {7747 #container-8bf4eb6da5 {7748 7749 }7750 }77517752 /* Desktop: 1350px and up */7753 @media only screen and (min-width: 1350px) {7754 #container-8bf4eb6da5 {7755 7756 }7757 }7758</style>77597760</div>77617762 7763</div>7764</div>7765<div class="footer aem-GridColumn aem-GridColumn--default--12">7766 7767 7768 <div>7769 <div class="page-footer-wrapper" id="brandFooter">7770 <div class="page-footer">7771 7772 7773 <div class="page-footer__links">7774 <div class="page-footer-link-set set-4">7775 <div class="page-footer-link-set__title">Products</div>7776 <ul class="page-footer-link-set__links">7777 7778 <li>7779 <a href="https://resources.nvidia.com/l/en-us-gpu" target="_blank">Data Center GPUs</a>7780 </li>7781 7782 <li>7783 <a href="https://www.nvidia.com/en-us/data-center/dgx-platform/" target="_self">NVIDIA DGX Platform</a>7784 </li>7785 7786 <li>7787 <a href="https://www.nvidia.com/en-us/data-center/hgx/" target="_self">NVIDIA HGX Platform</a>7788 </li>7789 7790 <li>7791 <a href="https://www.nvidia.com/en-us/networking/products/" target="_self">Networking Products</a>7792 </li>7793 7794 <li>7795 <a href="https://www.nvidia.com/en-us/data-center/virtual-solutions/" target="_self">Virtual GPUs</a>7796 </li>7797 7798 </ul>7799 </div>7800 <div class="page-footer-link-set set-4">7801 <div class="page-footer-link-set__title">Technologies</div>7802 <ul class="page-footer-link-set__links">7803 7804 <li>7805 <a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_self">NVIDIA Blackwell Architecture</a>7806 </li>7807 7808 <li>7809 <a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/" target="_self">NVIDIA Hopper Architecture</a>7810 </li>7811 7812 <li>7813 <a href="https://www.nvidia.com/en-us/data-center/products/mgx/" target="_self">MGX</a>7814 </li>7815 7816 <li>7817 <a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" target="_self">Confidential Computing</a>7818 </li>7819 7820 <li>7821 <a href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/" target="_self">Multi-Instance GPU</a>7822 </li>7823 7824 <li>7825 <a href="https://www.nvidia.com/en-us/data-center/nvlink-c2c/" target="_self">NVLink-C2C</a>7826 </li>7827 7828 <li>7829 <a href="https://www.nvidia.com/en-us/data-center/nvlink/" target="_self"> NVLink/NVSwitch</a>7830 </li>7831 7832 <li>7833 <a href="https://www.nvidia.com/en-us/data-center/tensor-cores/" target="_self">Tensor Cores</a>7834 </li>7835 7836 </ul>7837 </div>7838 <div class="page-footer-link-set set-4">7839 <div class="page-footer-link-set__title">Resources</div>7840 <ul class="page-footer-link-set__links">7841 7842 <li>7843 <a href="https://www.nvidia.com/en-us/accelerated-applications/" target="_self">Accelerated Apps Catalog</a>7844 </li>7845 7846 <li>7847 <a href="https://resources.nvidia.com/l/en-us-blackwell-architecture" target="_blank">Blackwell Resources Center</a>7848 </li>7849 7850 <li>7851 <a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/" target="_self">Data Center GPUs</a>7852 </li>7853 7854 <li>7855 <a href="https://docs.nvidia.com/data-center-gpu/line-card.pdf" target="_blank">Data Center GPU Line Card</a>7856 </li>7857 7858 <li>7859 <a href="https://www.nvidia.com/en-us/data-center/tesla-product-literature/" target="_self">Data Center GPUs Resource Center</a>7860 </li>7861 7862 <li>7863 <a href="https://developer.nvidia.com/deep-learning-performance-training-inference" target="_blank">Data Center Product Performance</a>7864 </li>7865 7866 <li>7867 <a href="https://www.nvidia.com/en-us/training/" target="_self">Deep Learning Institute</a>7868 </li>7869 7870 <li>7871 <a href="https://www.nvidia.com/en-us/sustainability/" target="_self">Energy Efficiency Calculator</a>7872 </li>7873 7874 <li>7875 <a href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/" target="_self">GPU Cloud Computing</a>7876 </li>7877 7878 <li>7879 <a href="https://www.nvidia.com/en-us/data-center/resources/mlperf-benchmarks/" target="_self">MLPerf Benchmarks</a>7880 </li>7881 7882 <li>7883 <a href="https://www.nvidia.com/en-us/gpu-cloud/" target="_self">NGC Catalog</a>7884 </li>7885 7886 <li>7887 <a href="https://www.nvidia.com/en-us/data-center/products/certified-systems/" target="_self">NVIDIA-Certified Systems</a>7888 </li>7889 7890 <li>7891 <a href="https://blogs.nvidia.com/blog/category/enterprise/" target="_blank">NVIDIA Data Center Corporate Blogs</a>7892 </li>7893 7894 <li>7895 <a href="https://developer.nvidia.com/blog/category/data-center-cloud/" target="_blank">NVIDIA Data Center Technical Blogs</a>7896 </li>7897 7898 <li>7899 <a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/tesla-qualified-servers-catalog/" target="_self">Qualified System Catalog</a>7900 </li>7901 7902 <li>7903 <a href="https://www.nvidia.com/en-us/data-center/where-to-buy/" target="_self">Where to Buy</a>7904 </li>7905 7906 </ul>7907 </div>7908 <div class="page-footer-link-set set-4">7909 <div class="page-footer-link-set__title">Company Info</div>7910 <ul class="page-footer-link-set__links">7911 7912 <li>7913 <a href="https://www.nvidia.com/en-us/about-nvidia/" target="_self">About Us</a>7914 </li>7915 7916 <li>7917 <a href="https://www.nvidia.com/en-us/about-nvidia/" target="_self">Company Overview</a>7918 </li>7919 7920 <li>7921 <a href="https://investor.nvidia.com/home/default.aspx" target="_blank">Investors</a>7922 </li>7923 7924 <li>7925 <a href="https://www.nvidia.com/en-us/startups/nventures/" target="_blank">Venture Capital (NVentures)</a>7926 </li>7927 7928 <li>7929 <a href="https://www.nvidia.com/en-us/foundation/" target="_self">NVIDIA Foundation</a>7930 </li>7931 7932 <li>7933 <a href="https://www.nvidia.com/en-us/research/" target="_self">Research</a>7934 </li>7935 7936 <li>7937 <a href="https://www.nvidia.com/en-us/sustainability/" target="_self">Social Responsibility</a>7938 </li>7939 7940 <li>7941 <a href="https://www.nvidia.com/en-us/technologies/" target="_self">Technologies</a>7942 </li>7943 7944 <li>7945 <a href="https://www.nvidia.com/en-us/about-nvidia/careers/" target="_self">Careers</a>7946 </li>7947 7948 </ul>7949 </div>7950 </div>7951 7952 7953 7954 <div class="page-footer__subscribe">7955 79567957 </div>7958 7959 7960 7961 <div class="page-footer__social">7962 <div class="page-footer__social__label">Follow Data Center</div>7963 7964 7965 7966 <a href="http://www.facebook.com/NVIDIA" class="page-footer__social__link facebook" target="_blank" alt='<util:I18n key="Follow GeForce on Facebook" />' title='<util:I18n key="Follow GeForce on Facebook" />'>7967 <i class="fa-brands fa-facebook-f" title="Facebook"></i>7968 </a>7969 7970 7971 7972 <a href="https://www.linkedin.com/company/nvidia" class="page-footer__social__link" target="_blank">7973 <i class="fa-brands fa-linkedin-in" title="LinkedIn"></i>7974 </a>7975 7976 7977 7978 7979 7980 <a href="http://twitter.com/nvidiadc" class="page-footer__social__link" target="_blank" alt='<util:I18n key="Follow GeForce on Twitter" />' title='<util:I18n key="Follow GeForce on Twitter" />'>7981 <i class="fa-brands fa-x-twitter" title="Twitter"></i>7982 </a>7983 7984 7985 7986 7987 7988 7989 7990 7991 <a href="http://www.youtube.com/user/nvidia" class="page-footer__social__link" target="_blank">7992 <i class="fa-brands fa-youtube" title="YouTube"></i>7993 </a>7994 7995 7996 7997 7998 </div>7999 8000 8001 </div>8002 </div>8003 </div>8004 8005800680078008<div>8009<div class="global-footer-container">8010 <div class="global-footer" id="globalFooter">8011 <svg class="global-footer__logo" xmlns="http://www.w3.org/2000/svg" viewBox="0 407.8 1000 184.4" enable-background="new 0 407.8 1000 184.4" xml:space="preserve">8012 <title>NVIDIA</title>8013 <g id="nvidia-logo">8014 <path d="M987.1 555.7v-2.8h1.7c0.9 0 2.3 0.1 2.3 1.2 0 1.2-0.7 1.5-1.8 1.5H987.1M987.1 557.6h1.2l2.8 4.8h3l-3.1-5c1.5-0.1 2.9-0.8 2.9-3 0-2.7-1.8-3.5-4.9-3.5h-4.4v11.5h2.6L987.1 557.6M1000 556.7c0-6.8-5.2-10.7-11.1-10.7 -5.8 0-11.1 3.9-11.1 10.7 0 6.8 5.2 10.7 11.1 10.7S1000 563.5 1000 556.7M996.8 556.7c0 4.9-3.6 8.2-7.9 8.2l0 0c-4.4 0-7.9-3.3-7.9-8.2 0-4.9 3.6-8.2 7.9-8.2C993.2 548.6 996.8 551.9 996.8 556.7z"></path>8015 <path d="M593.2 442.7v121.1h34.2V442.7H593.2zM324.4 442.5v121.2h34.5v-94.1l26.9 0.1c8.8 0 15 2.2 19.2 6.7 5.4 5.7 7.6 15.1 7.6 32v55.3H446v-66.9c0-47.8-30.5-54.3-60.2-54.3C385.8 442.5 324.4 442.5 324.4 442.5zM648.3 442.7v121.1h55.4c29.5 0 39.2-4.9 49.6-15.9 7.4-7.7 12.1-24.7 12.1-43.3 0-17-4-32.2-11.1-41.7 -12.5-16.9-30.8-20.2-58.1-20.2H648.3zM682.2 469h14.7c21.3 0 35.1 9.5 35.1 34.4 0 24.8-13.7 34.4-35.1 34.4h-14.7V469zM544 442.7l-28.5 95.9 -27.3-95.9h-36.9l39 121.1h49.2l39.3-121.1H544zM781.4 563.7h34.2v-121h-34.2V563.7zM877.2 442.7l-47.7 121h33.7l7.6-21.3h56.5l7.2 21.3h36.6l-48.2-121H877.2zM899.4 464.8l20.7 56.6H878L899.4 464.8z"></path>8016 <path d="M103.9 462.8v-16.6c1.6-0.1 3.3-0.2 4.9-0.2 45.6-1.4 75.4 39.1 75.4 39.1s-32.2 44.8-66.8 44.8c-5 0-9.4-0.8-13.4-2.2v-50.5c17.7 2.2 21.3 10 32 27.7l23.7-20c0 0-17.3-22.7-46.5-22.7C110 462.3 106.9 462.5 103.9 462.8M103.9 407.8v24.8c1.6-0.1 3.3-0.2 4.9-0.3 63.3-2.2 104.6 51.9 104.6 51.9s-47.4 57.7-96.7 57.7c-4.5 0-8.7-0.4-12.7-1.1v15.4c3.4 0.4 7 0.7 10.6 0.7 46 0 79.2-23.5 111.4-51.2 5.3 4.3 27.2 14.7 31.7 19.2 -30.6 25.6-101.9 46.3-142.3 46.3 -3.9 0-7.6-0.2-11.3-0.6v21.6h174.7V407.8H103.9zM103.9 527.8v13.1c-42.5-7.6-54.3-51.8-54.3-51.8s20.4-22.6 54.3-26.3v14.4c0 0 0 0-0.1 0 -17.7-2.2-31.7 14.5-31.7 14.5S80 519.6 103.9 527.8M28.4 487.2c0 0 25.2-37.1 75.5-41v-13.5C48.2 437.2 0 484.4 0 484.4s27.3 79 103.9 86.3v-14.4C47.7 549.2 28.4 487.2 28.4 487.2z"></path>8017 </g>8018 </svg>8019 8020 <div class="global-footer__region">8021 8022 <a href="https://www.nvidia.com/object/country-selector.html" target="_self">8023 8024 8025 <span class="global-footer__region__label">8026 United States8027 </span>8028 </a>8029 </div>8030 8031 <ul class="global-footer__links">8032 8033 <li>8034 <a href="https://www.nvidia.com/en-us/about-nvidia/privacy-policy/" target="_blank">Privacy Policy</a>8035 </li>8036 8037 <li>8038 <a href="https://www.nvidia.com/en-us/about-nvidia/privacy-center/" target="_blank">Your Privacy Choices</a>8039 </li>8040 8041 <li>8042 <a href="https://www.nvidia.com/en-us/about-nvidia/terms-of-service/" target="_blank">Terms of Service</a>8043 </li>8044 8045 <li>8046 <a href="https://www.nvidia.com/en-us/about-nvidia/accessibility/" target="_blank">Accessibility</a>8047 </li>8048 8049 <li>8050 <a href="https://www.nvidia.com/en-us/about-nvidia/company-policies/" target="_self">Corporate Policies</a>8051 </li>8052 8053 <li>8054 <a href="https://www.nvidia.com/en-us/product-security/" target="_blank">Product Security</a>8055 </li>8056 8057 <li>8058 <a href="https://www.nvidia.com/en-us/contact/" target="_blank">Contact</a>8059 </li>8060 8061 </ul>8062 8063 <div class="global-footer__copyright">Copyright © 2026 NVIDIA Corporation</div>8064 8065 8066 8067 80688069<style>8070.navigation .global-nav .desktop-nav .nav-header-container #nv-level1-tab7:checked~.nv-menu .nv-menu-list .nv-menu-item .nv-level1-tab7 {8071 left: 0;8072 opacity: 1;8073 position: absolute;8074 right: 0;8075 -webkit-transform: rotateX(0deg);8076 transform: rotateX(0deg);8077 transition: .2s ease-out;8078 -webkit-transition: .2s ease-out;8079 -o-transition: .2s ease-out;8080 visibility: visible;8081 width: 100%8082}80838084.navigation .global-nav .desktop-nav .nav-header-container #nv-level1-tab7:checked~.nv-menu .nv-menu-list .nv-menu-item label[for=nv-level1-tab7] {8085 color: #1a1a1a8086}8087</style>8088 8089 </div>8090</div>8091</div>80928093809480958096 <style>8097 .image-container{8098 position:relative;8099 }8100.image-credit {8101 color: #ccc;8102 font-size: 11px;8103 line-height: 1.4em;8104 position:absolute;8105}8106.image-credit.credit--dark{8107 color: #333;8108}8109 .image-credit.position--top-left{8110 top:12px;8111 left:15px;8112 } 8113 .image-credit.position--top-right{8114 top:12px;8115 right:15px;8116 } 8117 .image-credit.position--bottom-left{8118 bottom:27px;8119 left:15px;8120 } 8121 .image-credit.position--bottom-right{8122 bottom:27px;8123 right:15px;8124 } 8125</style>8126<script>8127$(document).ready(function(){8128 $('.image-credit').each(function(){8129 var imageOuter = $(this).parent().parent().prev().children('.image-container').append(this);8130 })8131})8132</script>81338134<style>8135.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab8:checked~.menu3-container .nv-level3-tab8 {8136 background-color:#eee;8137 opacity:1;8138 -webkit-transform:rotateX(0);8139 transform:rotateX(0);8140 transition:.2s ease-out;8141 -webkit-transition:.2s ease-out;8142 -o-transition:.2s ease-out;8143 visibility:visible;8144 width:100%8145}8146.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab8:checked ~ .nv-level2-list-container .nv-menu-level2-list .slider-menu {8147 opacity: 1;8148}814981508151.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab9:checked~.menu3-container .nv-level3-tab9 {8152 background-color:#eee;8153 opacity:1;8154 -webkit-transform:rotateX(0);8155 transform:rotateX(0);8156 transition:.2s ease-out;8157 -webkit-transition:.2s ease-out;8158 -o-transition:.2s ease-out;8159 visibility:visible;8160 width:100%8161}8162.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab9:checked ~ .nv-level2-list-container .nv-menu-level2-list .slider-menu {8163 opacity: 1;8164}81658166.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab10:checked~.menu3-container .nv-level3-tab10 {8167 background-color:#eee;8168 opacity:1;8169 -webkit-transform:rotateX(0);8170 transform:rotateX(0);8171 transition:.2s ease-out;8172 -webkit-transition:.2s ease-out;8173 -o-transition:.2s ease-out;8174 visibility:visible;8175 width:100%8176}8177.navigation .global-nav .desktop-nav .nav-header-container #tab4-nv-level2-tab10:checked ~ .nv-level2-list-container .nv-menu-level2-list .slider-menu {8178 opacity: 1;8179}8180</style>818181828183 <script src="/content/dam/en-zz/Solutions/librarian/bundle-search-prod-pub-v3.1.js" defer></script>8184<div id="librarian-search"></div>8185<script defer>8186window.addEventListener('load', () => {8187 LIBRARIAN.Home.mount({8188 elementId: 'librarian-search',8189 searchPage: false,8190 placeholder:'',8191 site : 'https://www.nvidia.com',8192 generateSummary: false,8193 page:"", 8194 searchRedirectPath: '',8195 preSelectedFilters: '',8196 retainFilters: false,8197 suggestedSearchPills: []8198 })8199});8200</script>820182028203</div>82048205 8206</div>8207</div>820882098210 8211 8212 8213<script src="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-site.min.7ad58d8af30ad7b8ec09ea3fb3d0d437.js"></script>8214<script src="/etc.clientlibs/nvidiaweb/clientlibs/clientlib-base.min.c615b422b69815dda8c5379a2b245500.js"></script>8215821682178218 8219 8220 8221 8222822382248225 8226 8227 <script type="text/javascript">8228 NVIDIAGDC.funcQueue.executeQueue();8229 //DTM code Execution8230 //if(typeof _satellite !== "undefined"){8231 // _satellite.pageBottom();8232 //} 8233 </script>8234 8235 82368237 8238 <div id="country-selector-modal" role="dialog" aria-modal="true" aria-labelledby="country-selector-modal-title">8239 <div class="cs-modal-content">8240 <div id="country-selector-modal-title" class="cs-title h4"></div>8241 <div id="cs-end"></div>8242 </div>8243 </div>8244 <script type="text/javascript" src="/content/dam/en-zz/Solutions/country-selector/countrySelector.js"></script>8245 8246 8247 <script>8248 $(function(){8249 $(window).bind('load', function(){8250 var ubContainer="";8251 if(typeof t_ubContainer !== 'undefined' && t_ubContainer.length>0){8252 ubContainer = t_ubContainer;8253 var cookieKey = "";8254 if(typeof t_cookieKey !== 'undefined' && t_cookieKey.length>0){8255 cookieKey = t_cookieKey8256 }8257 var ubcookie = "";8258 if(cookieKey.length>0){8259 ubcookie = Cookies.get(cookieKey)!=='undefined'?Cookies.get(cookieKey):"";8260 } else {8261 ubcookie = "";8262 }8263 // var ubcookie = Cookies.get(cookieKey);8264 var isCookie = typeof ubcookie !== 'undefined'?ubcookie:"";8265 if(!isCookie){8266 if(isCookie.length<1){8267 if ($('#unibrow-container').length >0){8268 $('#unibrow-container').removeClass('hide-unibrow');8269 $('#unibrow-container').append(ubContainer);82708271 // Marquee initialization (only when .unibrow-marquee class is present)8272 if ($('#unibrow-style.unibrow-marquee').length > 0) {8273 // Apply configurable scroll speed from API variable8274 var scrollSpeed = 15;8275 if (typeof t_ubScrollSpeed !== 'undefined' && !isNaN(t_ubScrollSpeed)) {8276 scrollSpeed = t_ubScrollSpeed;8277 }8278 document.documentElement.style.setProperty('--unibrow-scroll-speed', scrollSpeed + 's');82798280 // Clone text twice (3 copies total) for seamless continuous scroll8281 var $track = $('.unibrow-scroll-track');8282 if ($track.length > 0) {8283 var $original = $track.find('.unibrow-scroll-text');8284 var $clone1 = $original.clone().attr('aria-hidden', 'true');8285 var $clone2 = $original.clone().attr('aria-hidden', 'true');8286 $track.append($clone1).append($clone2);8287 }8288 }82898290 if ($(".sub-brand-nav").length >0){8291 $(".sub-brand-nav").addClass('unibrow-top');8292 }8293 var ubsc = $(window).width();8294 if(ubsc < NVIDIAGDC.tabletBreakpoint){8295 var ml = $('#unibrow-container'),8296 mcurHeight = ml.height(),8297 mautoHeight = ml.css('height', 'auto').height();8298 ml.height(mcurHeight).css('height', mautoHeight+10+'px');8299 } else if(ubsc==NVIDIAGDC.desktopBreakpoint-1){8300 var el = $('#unibrow-container'),8301 tbcurHeight = el.height(),8302 tbautoHeight = el.css('height', 'auto').height();8303 el.height(tbcurHeight).css('height', tbautoHeight+11+'px');8304 } else if(ubsc > NVIDIAGDC.tabletBreakpoint && ubsc < NVIDIAGDC.desktopBreakpoint){8305 var ml = $('#unibrow-container'),8306 tcurHeight = ml.height(),8307 tautoHeight = ml.css('height', 'auto').height();8308 ml.height(tcurHeight).css('height', tautoHeight+10+'px');8309 } else {8310 var el = $('#unibrow-container'),8311 curHeight = el.height(),8312 autoHeight = el.css('height', 'auto').height();8313 el.height(curHeight).css('height', autoHeight+11+'px');8314 }8315 8316 // Trigger custom event when unibrow is loaded8317 if ($('#unibrow-container').height() > 0) {8318 window.dispatchEvent(new CustomEvent("nvOnUnibrowLoaded"));8319 }83208321 if($(".unibrow-close").length >0){8322 $( ".unibrow-close" ).click(function(e) {8323 e.preventDefault();8324 //$(".unibrow-top").animate({'marginTop': '0px'}, { duration: animationCloseTime, queue: false });8325 $(".unibrow-top").css('marginTop', '0px');8326 //$("#unibrow-container").animate({'height': '0px'}, { duration: animationCloseTime, queue: false });8327 $("#unibrow-container").css('height', '0px');8328 $("#unibrow-style-outer").remove();8329 $('.sub-brand-nav').removeClass('unibrow-top');8330 if(ubsc < NVIDIAGDC.tabletBreakpoint){8331 $(".subnav").css('marginTop', '');8332 } else if(ubsc > NVIDIAGDC.tabletBreakpoint && ubsc < NVIDIAGDC.desktopBreakpoint){8333 $(".subnav").css('marginTop', '');8334 }8335 if(typeof t_cookieKey !== 'undefined' && t_cookieKey.length>0){8336 var cookieVal = "";8337 var cookieExpires = 0;8338 if(typeof t_cookieVal !== 'undefined' && t_cookieVal.length>0){8339 cookieVal = t_cookieVal;8340 }8341 if(typeof t_cookieExpires !== 'undefined'){ cookieExpires = t_cookieExpires; }8342 var expires = (new Date(Date.now()+ 86400*1000)).toUTCString();8343 document.cookie = cookieKey + "=" + cookieVal + "; expires=" + cookieExpires + ";path=/;";8344 }8345 $("#unibrow-container").addClass('hide-unibrow');8346 if($(".subnav").length>0){8347 $(".subnav").removeClass('unibrow-subnav');8348 }8349 $(".nv-page-body > .root").css("marginTop","");8350 if($(".stbrdcrmbblock").length>0){8351 $(".stbrdcrmbblock").css("top","");8352 $(".stbrdcrmbblock").css("position", "");8353 $(".stbrdcrmbblock").addClass("stbrdcrmbshadow");8354 }83558356 // Trigger custom event when unibrow is loaded8357 window.dispatchEvent(new CustomEvent("nvOnUnibrowClose"));8358 });8359 }8360 }8361 }8362 8363 }8364 }8365 });8366 });8367 8368 var position = $(window).scrollTop();8369 8370 $(window).scroll(function() {8371 if($(".hide-unibrow").length<1 && $(".stbrdcrmbblock.stbrdcrmbstick").length>0) {8372 var scroll = $(window).scrollTop();8373 if (scroll > position) {8374 if($(window).width() < NVIDIAGDC.tabletBreakpoint){8375 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+56+"px");8376 } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){8377 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px");8378 } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) {8379 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))-46+"px");8380 } else {8381 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px");8382 }8383 $(".stbrdcrmbblock").addClass("stbrdcrmbstick");8384 //console.log('scrollDown');8385 } else {8386 if($(window).width() < NVIDIAGDC.tabletBreakpoint){8387 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+56+"px");8388 } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){8389 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+46+"px");8390 } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) {8391 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px");8392 } else {8393 $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px");8394 }8395 $(".stbrdcrmbblock").addClass("stbrdcrmbstickwthhead");8396 //console.log('scrollUp');8397 }8398 position = scroll;8399 }8400 });8401 </script>8402840384048405 84068407 84088409 8410 84118412 84138414 8415 8416 8417 8418 </body>8419</html>84208421