HGX AI Supercomputing Platform

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This is included in head section to improve the page performance */ const containerWithFitBgEnabled = []; window.setContainerHeight = (containerID) => { var element = document.getElementById(containerID); var disableMidgroundImgAutoHeight = null; var disableVideoAutoHeight = null; if (element.classList.contains('v1-1')) { disableMidgroundImgAutoHeight = 'true'; disableVideoAutoHeight = 'true'; } var vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0); var imageContainer = element.querySelector('.nv-img-as-bg'); var videoContainer = element.querySelector('.nv-video-as-bg'); var image = element.querySelector('#image-' + containerID); var video = element.querySelector('#video-' + containerID); disableMidgroundImgAutoHeight = disableMidgroundImgAutoHeight || element.getAttribute('data-cmp-disableMidgroundAutoHeight'); disableVideoAutoHeight = disableVideoAutoHeight || element.getAttribute('data-cmp-disableVideoAutoHeight'); if (!image && !video) { return; } if (!containerWithFitBgEnabled.includes(containerID) && (imageContainer?.classList.contains('t-img-fit') || imageContainer?.classList.contains('p-img-fit') || imageContainer?.classList.contains('t-image-fit-contain') || imageContainer?.classList.contains('t-image-fit-cover') || imageContainer?.classList.contains('p-image-fit-contain') || imageContainer?.classList.contains('p-image-fit-cover') || videoContainer?.classList.contains('t-video-fit') || videoContainer?.classList.contains('p-video-fit') || videoContainer?.classList.contains('t-video-fit-contain') || videoContainer?.classList.contains('t-video-fit-cover') || videoContainer?.classList.contains('p-video-fit-contain') || videoContainer?.classList.contains('p-video-fit-cover'))) { containerWithFitBgEnabled.push(containerID); } if (image && !image.classList.contains('hide')) { var imgHeight = image.naturalHeight; var imgRenderedHeight = image.height; var childElement = imageContainer; if (imgHeight === 1 || imgRenderedHeight === 1) { return; } } if (video && !video.classList.contains('hide') && video.children.length > 0) { var videoHeight = video.videoHeight; var videoRenderedHeight = video.getBoundingClientRect().height; var childElement = videoContainer; } element.style.height = null; if (childElement) childElement.style.height = null; const isMobileViewport = vpWidth < 640; const isTabletViewport = vpWidth >= 640 && vpWidth < 1024; if (isMobileViewport) { if (imageContainer?.classList.contains('p-image-c-top') || imageContainer?.classList.contains('p-image-c-bottom')) { disableMidgroundImgAutoHeight = 'false'; } if (videoContainer?.classList.contains('p-video-c-top') || videoContainer?.classList.contains('p-video-c-bottom')) { disableVideoAutoHeight = 'false'; } } if (isTabletViewport) { if (imageContainer?.classList.contains('t-image-c-top') || imageContainer?.classList.contains('t-image-c-bottom')) { disableMidgroundImgAutoHeight = 'false'; } if (videoContainer?.classList.contains('t-video-c-top') || videoContainer?.classList.contains('t-video-c-bottom')) { disableVideoAutoHeight = 'false'; } } if (videoHeight !== undefined && videoHeight != 1 && videoHeight !== 0 && disableVideoAutoHeight !== 'true') { const pVideoCTop = childElement.classList.contains('p-video-c-top'); const pVideoCBottom = childElement.classList.contains('p-video-c-bottom'); const pVideoFit = childElement.classList.contains('p-video-fit'); const tVideoCTop = childElement.classList.contains('t-video-c-top'); const tVideoCBottom = childElement.classList.contains('t-video-c-bottom'); const tVideoFit = childElement.classList.contains('t-video-fit'); let setChildHeight = false; let height = videoHeight; if (isMobileViewport && (pVideoCTop || pVideoCBottom || pVideoFit)) { setChildHeight = pVideoCTop || pVideoCBottom; height = pVideoFit ? videoRenderedHeight : videoHeight; } else if (isTabletViewport && (tVideoCTop || tVideoCBottom || tVideoFit)) { setChildHeight = tVideoCTop || tVideoCBottom; height = tVideoFit ? videoRenderedHeight : videoHeight; } setChildHeight ? (childElement.style.height = height + 'px') : (element.style.height = height + 'px'); } else if (imgHeight !== undefined && imgHeight != 1 && disableMidgroundImgAutoHeight !== 'true') { const pImageCTop = childElement.classList.contains('p-image-c-top'); const pImageCBottom = childElement.classList.contains('p-image-c-bottom'); const pImgFit = childElement.classList.contains('p-img-fit'); const tImageCTop = childElement.classList.contains('t-image-c-top'); const tImageCBottom = childElement.classList.contains('t-image-c-bottom'); const tImgFit = childElement.classList.contains('t-img-fit'); let height = imgHeight; let setChildHeight = false; if (isMobileViewport && (pImageCTop || pImageCBottom || pImgFit)) { height = imgRenderedHeight; setChildHeight = pImageCTop || pImageCBottom; } else if (isTabletViewport && (tImageCTop || tImageCBottom || tImgFit)) { height = imgRenderedHeight; setChildHeight = tImageCTop || tImageCBottom; } setChildHeight ? (childElement.style.height = height + 'px') : (element.style.height = height + 'px'); } else if (video?.hasAttribute('poster') && disableVideoAutoHeight !== 'true') { element.style.height = videoRenderedHeight + 'px'; } // If container is authored inside carousel - adjust height as per first container height var nvContainer = element.parentNode, nvContainerParent = nvContainer?.parentNode, isCarouselSlide = nvContainerParent?.classList.contains('cmp-carousel__item') || false; if (isCarouselSlide) { var carouselSlideId = nvContainerParent.getAttribute('id'), carouselId = carouselSlideId.match(/(.*)-item-(.*)-tabpanel/)[1], firstSlide = document.querySelector('#' + carouselId + ' [data-cmp-slide-no="1"]'), firstSlideImageHeight = firstSlide?.querySelector('.nv-img-as-bg')?.style.height, firstSlideVideoHeight = firstSlide?.querySelector('.nv-video-as-bg')?.style.height, containerImg = nvContainer.querySelector('.nv-img-as-bg'), containerVideo = nvContainer.querySelector('.nv-video-as-bg'); if (firstSlideImageHeight && containerImg) containerImg.style.height = firstSlideImageHeight; if (firstSlideVideoHeight && containerVideo) containerVideo.style.height = firstSlideVideoHeight; } } window.addEventListener('onNvBreakpointChange', (e) => { document.querySelectorAll('[data-cmp-is="nv-container"]').forEach((container) => { const containerId = container.getAttribute('id'); window.initBuildVideo(containerId); window.initLazyLoadingImages(containerId); window.setContainerHeight(containerId); }); }); // Call setContainerHeight for containers with Fit Image Background or Fit Video Background is Enabled // Fit Image / Video Background is applicabled only for Mobile & Tablet viewports window.addEventListener('resize', (e) => { if (containerWithFitBgEnabled.length > 0) { const vpWidth = Math.max(document.documentElement.clientWidth || 0, window.innerWidth || 0); if (vpWidth <= 1023) { containerWithFitBgEnabled.forEach(containerId => window.setContainerHeight(containerId)); } } }); // END: setContainerHeight // Variables let videoSources = {}; /** * @breif Accepts components JSON data to build source elements for each device type * @param Object videoSource */ let buildSources = (videoSource) => { for (const viewport in videoSource) { const fragment = createSrcFragment(videoSource[viewport]); videoSources[viewport] = fragment; } } /** * @breif Creats document fragment that contain maximum of upto 3 <source> tags (webm, mp4, ogg) * @param {*} videos - Array of objects with type and src properties * @returns DocumentFragment with maximum of upto 3 <source> tags */ let createSrcFragment = (videos) => { const fragment = new DocumentFragment(); const videoWebm = videos.find((src) => src.type === 'video/webm'); const videoMp4 = videos.find((src) => src.type === 'video/mp4'); const videoOgg = videos.find((src) => src.type === 'video/ogg'); if (videoWebm && videoWebm.src && videoWebm.type) { fragment.appendChild(createSource(videoWebm)); } if (videoMp4 && videoMp4.src && videoMp4.type) { fragment.appendChild(createSource(videoMp4)); } if (videoOgg && videoOgg.src && videoOgg.type) { fragment.appendChild(createSource(videoOgg)); } return fragment; } /** * @breif Creates source element * @param {*} videos - Object with type and src properties * @returns HTMLElement <source> */ let createSource = (video) => { const source = document.createElement('source'); source.setAttribute('src', video.src); source.setAttribute('type', video.type); return source; } /** * Adds source elments to video and trigger play * @param {*} videoEle * @param {*} videoSources */ let loadVideo = (videoEle, videoSources) => { videoEle.classList.remove('hide'); videoEle.appendChild(videoSources); } let initLazyLoadingVideo = (containerId) => { //Select all videos that have lazy loading enabled const container = document.getElementById(containerId); const videoTarget = container.querySelector('video[data-nv-lazyload]'); if (videoTarget) { //Intersection Observer Callback Function const loadVideo = (entries, observer) => { const [entry] = entries; if (!entry.isIntersecting) { return; } entry.target.play(); videoTarget.removeAttribute('data-nv-lazyload'); observer.unobserve(entry.target); }; const videoObserver = new IntersectionObserver(loadVideo, { root: null, rootMargin: "300px" }) // Set the Videos to be observed videoObserver.observe(videoTarget); } } /** * @breif Build <source> and append to <video>. Handles changing video source by screen size. */ window.initBuildVideo = (containerId) => { const container = document.getElementById(containerId); const video = container.querySelector('.nv-video-load-src>video'); if (video) { const videoSource = JSON.parse(video.dataset.videoSource); let screen = document.documentElement.clientWidth || document.body.clientWidth; buildSources(videoSource); if (Object.keys(videoSources).length > 0) { while (video.firstChild) { video.removeChild(video.lastChild); } if (screen < 640) { if (videoSources.mobile) loadVideo(video, videoSources.mobile); else video.classList.add('hide'); } else if (screen >= 640 && screen < 1024) { if (videoSources.tablet) loadVideo(video, videoSources.tablet); else video.classList.add('hide'); } else if (screen >= 1024 && screen < 1350) { if (videoSources.laptop) loadVideo(video, videoSources.laptop); else video.classList.add('hide'); } else if (screen >= 1350) { if (videoSources.desktop) loadVideo(video, 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href="https://www.nvidia.com/en-us/launchpad/infra-optimization/experience-vmware-vsphere-distributed-services-engine-on-bluefield-2-dpu/" target="_self" class="global-nav-link"><div class="title no-submenu">Try vSphere on BlueField</div></a></li> </ul></li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/" target="_self" class="global-nav-link"><div class="title no-submenu">Where to Buy</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/" target="_self" class="global-nav-link"><div class="title no-submenu">Test Drive</div></a></li> <li><a href="https://www.nvidia.com/en-us/omniverse/platform/ovx/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA OVX</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >   <span class="sub-brand-link"> Data Center GPUs <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M7 10l5 5 5-5z" /> <path d="M0 0h24v24H0z" fill="none" /></svg> </div> </span>  <ul class="dropdown-menu bullet" id="nav"> <li><a href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/" target="_self" class="global-nav-link"><div class="title no-submenu">GB200 NVL72</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/hgx/" target="_self" class="global-nav-link"><div class="title no-submenu">HGX</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/h200/" target="_self" class="global-nav-link"><div class="title no-submenu">H200</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/h100/" target="_self" class="global-nav-link"><div class="title no-submenu">H100</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l4/" target="_self" class="global-nav-link"><div class="title no-submenu">L4</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l40s/" target="_self" class="global-nav-link"><div class="title no-submenu">L40S</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/l40/" target="_self" class="global-nav-link"><div class="title no-submenu">L40</div></a></li> <li><a href="https://resources.nvidia.com/l/en-us-gpu" target="_self" class="global-nav-link"><div class="title no-submenu">All GPUs</div></a></li> <li><a href="https://docs.nvidia.com/data-center-gpu/line-card.pdf" target="_self" class="global-nav-link"><div class="title no-submenu">Line Card</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/" target="_self" class="global-nav-link"><div class="title no-submenu">Test Drive</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >  <span class="sub-brand-link"> <a href="https://www.nvidia.com/en-us/data-center/software/" class="sub-brand-link">Software</a> <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" 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class="title no-submenu">Trial</div></a></li> </ul></li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/" target="_self" class="global-nav-link"><div class="title no-submenu">Base Command</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/manager/" target="_self" class="global-nav-link"><div class="title no-submenu">Base Command Manager</div></a></li> <li><a href="https://www.nvidia.com/en-us/technologies/cuda-x/" target="_self" class="global-nav-link"><div class="title no-submenu">CUDA-X</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/dgx-cloud/" target="_self" class="global-nav-link"><div class="title no-submenu">DGX Cloud</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/magnum-io/" target="_self" class="global-nav-link"><div class="title no-submenu">Magnum IO</div></a></li> <li><a href="https://catalog.ngc.nvidia.com/" target="_self" class="global-nav-link"><div class="title no-submenu">NGC Catalog*</div></a></li> <li><a href="https://developer.nvidia.com/networking/doca" target="_self" class="global-nav-link"><div class="title no-submenu">Networking*</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/virtual-solutions/" target="_self" class="global-nav-link"><div class="title no-submenu">Virtualization</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" >   <span class="sub-brand-link"> Technologies <div class="ic-arrow-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24"> <path d="M7 10l5 5 5-5z" /> <path d="M0 0h24v24H0z" fill="none" /></svg> </div> </span>  <ul class="dropdown-menu bullet" id="nav"> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Blackwell Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Hopper Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/design-visualization/ada-lovelace-architecture/" target="_self" class="global-nav-link"><div class="title no-submenu">NVIDIA Ada Lovelace Architecture</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/" target="_self" class="global-nav-link"><div class="title no-submenu">Confidential Computing</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink-c2c/" target="_self" class="global-nav-link"><div class="title no-submenu">NVLink-C2C</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink/" target="_self" class="global-nav-link"><div class="title no-submenu">NVLink/NVSwitch</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/tensor-cores/" 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target="_self" class="global-nav-link"><div class="title no-submenu">Training for IT Professionals</div></a></li> <li><a href="https://www.nvidia.com/gtc/" target="_self" class="global-nav-link"><div class="title no-submenu">GTC AI Conference</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/tesla-qualified-servers-catalog/" target="_self" class="global-nav-link"><div class="title no-submenu">Qualified Server Catalog</div></a></li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/" target="_self" class="global-nav-link"><div class="title no-submenu">Where to Buy</div></a></li> <span class="nvArrow"></span> </ul> </div> <div class="sub-brand-item" > <a href="https://www.nvidia.com/en-us/launchpad/" target="_self" class="sub-brand-link">Get Started</a> </div> <div class="sub-brand-item hide"> <span class="sub-brand-link"> <div class="more-dropdown"> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 21.4 5"> <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)" /> </svg> </div> </span> <ul class="dropdown-menu bullet "> <li class="more-element hide"> <span> Solutions </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/accelerated-computing-for-enterprise-it/">Accelerated Computing for Enterprise IT</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/gpu-cloud-computing/">Cloud Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/colocation-partners/">Colocation</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/edge-computing/">Edge Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/high-performance-computing/">High Performance Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/networking/">Networking</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/virtualization/">Virtualization</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/mlops/">MLOps</a> </li> </ul> </li> <li class="more-element hide"> <span> Products </span> <ul class="more-sub-items"> <li><a href=""> DGX</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/products/certified-systems/">NVIDIA-Certified Systems</a> </li> <li><a href="https://www.nvidia.com/en-us/edge-computing/products/igx/">IGX Platform</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/grace-cpu/">Grace CPU</a> </li> <li><a href="https://www.nvidia.com/en-us/networking/products/data-processing-unit/">BlueField DPUs and SuperNICs</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/">Where to Buy</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/">Test Drive</a> </li> <li><a href="https://www.nvidia.com/en-us/omniverse/platform/ovx/">NVIDIA OVX</a> </li> </ul> </li> <li class="more-element hide"> <span> Data Center GPUs </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/gb200-nvl72/">GB200 NVL72</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/hgx/">HGX</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/h200/">H200</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/h100/">H100</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l4/">L4</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l40s/">L40S</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/l40/">L40</a> </li> <li><a href="https://resources.nvidia.com/l/en-us-gpu">All GPUs</a> </li> <li><a href="https://docs.nvidia.com/data-center-gpu/line-card.pdf">Line Card</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/gpu-test-drive/">Test Drive</a> </li> </ul> </li> <li class="more-element hide"> <span> Software </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/">AI Enterprise Suite</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/">Base Command</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/base-command/manager/">Base Command Manager</a> </li> <li><a href="https://www.nvidia.com/en-us/technologies/cuda-x/">CUDA-X</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/dgx-cloud/">DGX Cloud</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/magnum-io/">Magnum IO</a> </li> <li><a href="https://catalog.ngc.nvidia.com/">NGC Catalog*</a> </li> <li><a href="https://developer.nvidia.com/networking/doca">Networking*</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/virtual-solutions/">Virtualization</a> </li> </ul> </li> <li class="more-element hide"> <span> Technologies </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/blackwell-architecture/">NVIDIA Blackwell Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/">NVIDIA Hopper Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/design-visualization/ada-lovelace-architecture/">NVIDIA Ada Lovelace Architecture</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/solutions/confidential-computing/">Confidential Computing</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink-c2c/">NVLink-C2C</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/nvlink/">NVLink/NVSwitch</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/tensor-cores/">Tensor Cores</a> </li> <li><a href="https://www.nvidia.com/en-us/technologies/multi-instance-gpu/">Multi-Instance GPU</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/index-paraview-plugin/">IndeX ParaView Plugin</a> </li> <li><a href="https://www.nvidia.com/en-us/ai-data-science/products/morpheus/">Cybersecurity - Morpheus</a> </li> </ul> </li> <li class="more-element hide"> <span> Resources </span> <ul class="more-sub-items"> <li><a href="https://www.nvidia.com/en-us/gpu-accelerated-applications/">Applications</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/sustainable-computing/energy-efficiency-calculator/">Energy Efficiency Calculator</a> </li> <li><a href="https://www.nvidia.com/en-us/gpu-cloud/">NVIDIA NGC</a> </li> <li><a href="https://www.nvidia.com/en-us/training/">Technical Training</a> </li> <li><a href="https://academy.nvidia.com/en/">Training for IT Professionals</a> </li> <li><a href="https://www.nvidia.com/gtc/">GTC AI Conference</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/data-center-gpus/tesla-qualified-servers-catalog/">Qualified Server Catalog</a> </li> <li><a href="https://www.nvidia.com/en-us/data-center/where-to-buy/">Where to Buy</a> </li> </ul> </li> <li class="more-element hide"> <a href="https://www.nvidia.com/en-us/launchpad/">Get Started</a> </li> <span class="nvArrow"></span> </ul> </div> </div> <div class="brand-nav-right ">  <a href="#" class="ic-menu unsubset" title="Menu"> <svg id="menu-icon" version="1.1" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" x="0px" y="0px" viewBox="0 0 24 24"> <line id="menu-line-top" class="menu-line" x1="1" y1="6" x2="23" y2="6" stroke-width="2.4" vector-effect="non-scaling-stroke" /> <line id="menu-line-mid" class="menu-line" x1="1" y1="12" x2="23" y2="12" stroke-width="2.4" vector-effect="non-scaling-stroke" /> <line id="menu-line-bot" class="menu-line" x1="1" y1="18" x2="23" y2="18" stroke-width="2.4" vector-effect="non-scaling-stroke" /> </svg> </a> </div> </div> <div style="opacity: 0;" class="lightbox-background tablet-only hide"></div> <div 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The NVIDIA HGX™ AI supercomputing platform brings together the full power of NVIDIA GPUs, NVIDIA NVLink™, NVIDIA networking, and fully optimized AI and <a href="https://www.nvidia.com/en-us/high-performance-computing/">high-performance computing (HPC)</a> software stacks to provide the highest application performance and drive the fastest time to insights.</span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="deep-learning" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#eee;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-title text h--medium 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--12 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div id="nv-title-95097c9b2e" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Unmatched End-to-End Accelerated Computing Platform </h2> </div> </div> </div> <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"> <div id="nv-text-e98758e1d1" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>The NVIDIA HGX B200 and HGX B100 integrate NVIDIA Blackwell Tensor Core GPUs with high-speed interconnects to propel the data center into a new era of accelerating computing and generative AI. As a premier accelerated scale-up platform with up to 15X more inference performance than the previous generation, Blackwell-based HGX systems are designed for the most demanding generative AI, data analytics, and HPC workloads.</p> <p>NVIDIA HGX includes advanced networking options—at speeds up to 400 gigabits per second (Gb/s)—using NVIDIA Quantum-2 InfiniBand and <a href="https://www.nvidia.com/en-us/networking/spectrumx/">Spectrum™-X </a>Ethernet for the highest AI performance. HGX also includes <a href="https://resources.nvidia.com/en-us-accelerated-networking-resource-library/datasheet-nvidia-bluefield?ncid=no-ncid" target="_blank">NVIDIA® BlueField®-3 </a>data processing units (DPUs) to enable cloud networking, composable storage, zero-trust security, and GPU compute elasticity in hyperscale AI clouds. </p> </div> </div> </div> </div> <div class="nv-separator separator aem-GridColumn aem-GridColumn--default--12"> <div id="nv-separator-4e8ab3cc50" class="cmp-separator"> <style> @media screen and (min-width:1350px){ #nv-separator-4e8ab3cc50{ height:30px; } } @media screen and (min-width:1024px) and (max-width:1349px){ #nv-separator-4e8ab3cc50{ height:30px; } } @media screen and (min-width:640px) and (max-width:1023px){ #nv-separator-4e8ab3cc50{ height:15px; } } @media screen and (max-width: 639px){ #nv-separator-4e8ab3cc50{ height:15px; } } </style> </div></div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="inference" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#fff;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-4cfb0fd644" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Deep Learning Inference: Performance and Versatility </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-7d080d69dc" class="p-t-30 p-b-0 lap-p-t-30 lap-p-b-0 tab-p-t-30 tab-p-b-0 mob-p-t-30 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-2 p-col-1 d-justify-left l-justify-left t-justify-left p-justify-left flex-align-top "> <div class="nv-container container responsivegrid"> <div id="container-602822cca6" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-image image aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--12 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/hgx/_jcr_content/root/responsivegrid/nv_container_2062599_345824453/nv_container_copy_co/nv_container_663442894/nv_image.coreimg{.width}.svg/1722493470474/b200-gpt-moe-real-time-chart-v1.svg" data-asset="/content/dam/en-zz/Solutions/Data-Center/HGX/b200-gpt-moe-real-time-chart-v1.svg" data-title="Real-Time Deep Learning Inference" id="nv-image-36a3a12712" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/hgx/_jcr_content/root/responsivegrid/nv_container_2062599_345824453/nv_container_copy_co/nv_container_663442894/nv_image.coreimg.svg/1722493470474/b200-gpt-moe-real-time-chart-v1.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="Real-Time Deep Learning Inference" title="Real-Time Deep Learning Inference" data-analytics="nv-image-36a3a12712"/> </noscript> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-968eec5315" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span style="color: rgb(102,102,102);"><span class="p--small">Projected performance subject to change. Token-to-token latency (TTL) = 50 milliseconds (ms) real time, first token latency (FTL) = 5s, input sequence length = 32,768, output sequence length = 1,028, 8x eight-way NVIDIA HGX™ H100 GPUs air-cooled vs. 1x eight-way HGX B200 air-cooled, per GPU performance comparison.</span></span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-d5041b1990" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--6 aem-Grid--tablet--6 aem-Grid--default--6 aem-Grid--phone--12 aem-Grid--laptop--6 "> <div class="nv-title text h--smallest 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--default--5 aem-GridColumn--tablet--6"> <div id="nv-title-05d176dea7" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> Real-Time Inference for the Next Generation of Large Language Models </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-text-44a65e2bc1" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>HGX B200 achieves up to 15X higher inference performance over the previous NVIDIA Hopper™ generation for massive models such as GPT-MoE-1.8T. The second-generation Transformer Engine uses custom <a href="https://www.nvidia.com/en-us/data-center/tensor-cores/">Blackwell Tensor Core</a> technology combined with TensorRT™-LLM and Nemo™ Framework innovations to accelerate inference for <a href="https://www.nvidia.com/en-us/glossary/large-language-models/">large language models</a> (LLMs) and Mixture-of-Experts (MoE) models. <br> </p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="machine-learning" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#eee;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-418e20a299" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Deep Learning Training: Performance and Scalability </h2> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-56ff450bcc" class="p-t-30 p-b-0 lap-p-t-30 lap-p-b-0 tab-p-t-30 tab-p-b-0 mob-p-t-30 mob-p-b-0 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container"> <div class="general-container nv-flexbox d-col-2 l-col-2 t-col-2 p-col-1 d-justify-left l-justify-left t-justify-left p-justify-left flex-align-top "> <div class="nv-container container responsivegrid"> <div id="container-1f06696258" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-image image aem-GridColumn--default--none aem-GridColumn--phone--none aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--12 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0"> <div data-cmp-is="nv-image" data-cmp-lazy data-cmp-lazythreshold="300" data-cmp-src="/content/nvidiaGDC/us/en_US/data-center/hgx/_jcr_content/root/responsivegrid/nv_container_2062599/nv_container_copy_co/nv_container_663442894/nv_image.coreimg{.width}.svg/1722493470755/b200-gpt-moe-model-chart-v1.svg" data-asset="/content/dam/en-zz/Solutions/Data-Center/HGX/b200-gpt-moe-model-chart-v1.svg" data-title="Up to 5X Faster Training at Scale" id="nv-image-6811f3d677" class="cmp-image d-align-left l-align-left t-align-left m-align-left" itemscope itemtype="http://schema.org/ImageObject" data-cmp-type="renditionUpload"> <noscript data-cmp-hook-image="noscript"> <img src="/content/nvidiaGDC/us/en_US/data-center/hgx/_jcr_content/root/responsivegrid/nv_container_2062599/nv_container_copy_co/nv_container_663442894/nv_image.coreimg.svg/1722493470755/b200-gpt-moe-model-chart-v1.svg" class="cmp-image__image" itemprop="contentUrl" data-cmp-hook-image="image" alt="Up to 5X Faster Training at Scale" title="Up to 5X Faster Training at Scale" data-analytics="nv-image-6811f3d677"/> </noscript> </div> </div> <div class="nv-text text aem-GridColumn aem-GridColumn--default--12"> <div id="nv-text-1576a7f18e" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p><span style="color: rgb(102,102,102);"><span class="p--small">Projected performance subject to change. 32,768 GPU scale, 4,096x eight-way HGX H100 air-cooled cluster: 400G InfiniBand (IB) network, 4,096x 8-way HGX B200 air-cooled cluster: 400G IB network.</span></span></p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid"> <div id="container-455b64e28c" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--6 aem-Grid--default--6 aem-Grid--phone--12 "> <div class="nv-title text h--smallest 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"> <div id="nv-title-e9dd7cbc1c" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <h3 class="title "> Next-Level Training Performance </h3> </div> </div> </div> <div class="nv-text text aem-GridColumn--phone--12 aem-GridColumn aem-GridColumn--default--6"> <div id="nv-text-3d0b8804a1" class="general-container-text "> <div class="text-left lap-text-left tab-text-left mob-text-left"> <div class="description "> <p>The second-generation Transformer Engine, featuring 8-bit floating point (FP8) and new precisions, enables a remarkable 3X faster training for large language models like GPT-MoE-1.8T. This breakthrough is complemented by fifth-generation NVLink with 1.8TB/s of GPU-to-GPU interconnect, InfiniBand networking, and <a href="https://www.nvidia.com/en-us/data-center/magnum-io/">NVIDIA Magnum IO</a>™ software. Together, these ensure efficient scalability for enterprises and extensive GPU computing clusters.</p> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid nv-container--theme-dark aem-GridColumn aem-GridColumn--default--12"> <div id="networking" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#1a1a1a;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-c4452f31fa" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title " style="color: #ffffff;"> Accelerating HGX With NVIDIA Networking </h2> </div> </div> </div> <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"> <div id="nv-text-408aa93053" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>The data center is the new unit of computing, and networking plays an integral role in scaling application performance across it. Paired with NVIDIA Quantum InfiniBand, HGX delivers world-class performance and efficiency, which ensures the full utilization of computing resources.</p> <p>For AI cloud data centers that deploy Ethernet, HGX is best used with the NVIDIA Spectrum-X networking platform, which powers the highest AI performance over Ethernet. It features Spectrum-X switches and BlueField-3 DPUs for optimal resource utilization and performance isolation, delivering consistent, predictable outcomes for thousands of simultaneous AI jobs at every scale. Spectrum-X enables advanced cloud multi-tenancy and zero-trust security. As a reference design, NVIDIA has designed Israel-1, a hyperscale generative AI supercomputer built with Dell PowerEdge XE9680 servers based on the NVIDIA HGX 8-GPU platform, BlueField-3 DPUs, and Spectrum-4 switches.</p> </div> </div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="container-de201e26fe" class="p-t-75 p-b-75 lap-p-t-75 lap-p-b-75 tab-p-t-45 tab-p-b-45 mob-p-t-45 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#f7f7f7;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-fd2274f5f2" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> Connecting HGX With NVIDIA Networking </h2> </div> </div> </div> <div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12"> <div id="nv-rawhtml-1301ec25ab" class="general-container-text "> <div> <style> .hgx-1-chart table { width: 100%; /*! border-collapse: collapse; */ min-width: 500px; } .hgx-1-chart th, .hgx-1-chart td { vertical-align: top; padding: 15px; /* border-right: 1px solid #ccc; */ } .hgx-1-chart td { border-bottom: 1px solid #ccc; text-align: center; line-height: 1.25em; font-size: 14px; } .hgx-1-chart td:first-child { text-align: left; /*color: #76B900;*/ font-weight: bold; } /* .hgx-1-chart td:nth-child(1n) { max-width: 156px; } .hgx-1-chart td:last-child { border-right: 1px solid #ccc; } */ .hgx-1-chart th:first-child { background: #f7f7f7; position: static; left: 0; } .hgx-1-chart th { text-align: center; color: #000000; font-size: 16px; border-bottom: 3px solid #000000; padding-top: 20px; } .hgx-1-chart tr:last-child td { border-bottom: none; } /* .hgx-1-chart tr:nth-child(even) { background: #EEEEEE; } */ .hgx-1-chart tr td:nth-child(odd){ background-color: #f7f7f7; } .hgx-1-chart tr td:nth-child(even){ background-color: #eee; } .legal.color-lightuigraphics { color: #999; } @media screen and (max-width: 1023px) { .hgx-1-chart td { word-break: break-word; } } @media screen and (min-width: 1024px) { .hgx-1-chart th {max-width: 150px;} } @media screen and (max-width: 1024px) and (min-width: 768px) { .scrolling { overflow-x: scroll; } .hgx-1-chart td:first-child { text-align: left; background: white; } .hgx-1-chart td { word-break: break-word; } } @media screen and (max-width: 767px) { .scrolling { overflow-x: scroll; } .hgx-1-chart th:first-child { background: #f7f7f7; position: sticky; left: 0; } .hgx-1-chart td:first-child { text-align: left; background: white; left: 0; position: sticky; top: 0; width: 120px; } } /* Media Query for iPad */ @media screen and (max-width: 1024px) and (max-height: 1366px) and (-webkit-min-device-pixel-ratio: 2) and (orientation: portrait) { .hgx-1-chart td { word-break: normal; white-space: nowrap; } } </style><div class="hgx-1-chart scrolling"> <table cellpadding="0" cellspacing="0"> <thead>  <tr> <th> </th> <th> NVIDIA Quantum-2 InfiniBand Platform:<br> <p>Quantum-2 Switch, ConnectX-7 Adapter, BlueField-3 DPU</p> </th> <th> NVIDIA Spectrum-X Platform:<br> <p>Spectrum-4 Switch, <br>BlueField-3 SuperNIC</p> </th> <th> NVIDIA Spectrum Ethernet Platform:<br> <p>Spectrum Switch, ConnectX Adapter, BlueField DPU</p> </th> </tr> </thead> <tbody> <tr> <td style="white-space: nowrap;">Deep Learning Training</td> <td>Best</td> <td>Better</td> <td>Good</td> </tr> <tr> <td style="white-space: nowrap;">Scientific Simulation</td> <td>Best</td> <td>Better</td> <td>Good</td> </tr> <tr> <td style="white-space: nowrap;">Data Analytics</td> <td>Best</td> <td>Better</td> <td>Good</td> </tr> <tr> <td style="white-space: nowrap;">Deep Learning Inference</td> <td>Best</td> <td>Better</td> <td>Good</td> </tr> </tbody> </table>  </div></div> </div> </div> </div> </div> </div> </div> <div class="nv-container container responsivegrid aem-GridColumn aem-GridColumn--default--12"> <div id="specifications" class="p-t-0 p-b-90 lap-p-t-0 lap-p-b-90 tab-p-t-0 tab-p-b-45 mob-p-t-0 mob-p-b-45 d-top-align d-left-align l-left-align l-top-align t-left-align t-top-align m-top-align m-left-align d-content-align-top l-content-align-top t-content-align-top m-content-align-top " data-cmp-is="nv-container" data-cmp-breadcrumbColor="none" style="background-color:#f7f7f7;"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--tablet--12 aem-Grid--default--12 aem-Grid--phone--12 "> <div class="nv-title text h--medium aem-GridColumn aem-GridColumn--default--12"> <div id="nv-title-aafcf2bf9c" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <h2 class="title "> NVIDIA HGX Specifications </h2> </div> </div> </div> <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"> <div id="nv-text-41cc30c0e7" class="general-container-text "> <div class="text-center lap-text-center tab-text-center mob-text-center"> <div class="description "> <p>NVIDIA HGX is available in single baseboards with four or eight H200 or H100 GPUs or eight Blackwell GPUs. These powerful combinations of hardware and software lay the foundation for unprecedented AI supercomputing performance.</p> </div> </div> </div> </div> <div class="nv-separator separator aem-GridColumn aem-GridColumn--default--12"> <div id="nv-separator-5fde8c1b29" class="cmp-separator"> <style> @media screen and (min-width:1350px){ #nv-separator-5fde8c1b29{ height:30px; } } @media screen and (min-width:1024px) and (max-width:1349px){ #nv-separator-5fde8c1b29{ height:30px; } } @media screen and (min-width:640px) and (max-width:1023px){ #nv-separator-5fde8c1b29{ height:30px; } } @media screen and (max-width: 639px){ #nv-separator-5fde8c1b29{ height:30px; } } </style> </div></div> <div class="nv-tabs tabs panelcontainer aem-GridColumn aem-GridColumn--default--12"> <div id="nv-tabs-ee66745612" class="cmp-tabs tabs-layout " data-cmp-is="tabs" data-cmp-id="nv-tabs-ee66745612"> <div class="nv-tabs__container"> <div class="nv-tabs__content"> </div> <ol role="tablist" class="nv-tabs__tablist" 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border-bottom: none; }*/ /* .blackwell-hgxb tr:nth-child(even) { background: #EEEEEE; } */ .blackwell-hgxb tr td:nth-child(odd){ background-color: #f7f7f7; } .blackwell-hgxb tr td:nth-child(even){ background-color: #eee; } .legal.color-lightuigraphics { color: #999; } .blackwell-hgxb tr td { max-width: 210px; } @media screen and (max-width: 1023px) { .blackwell-hgxb td { word-break: break-word; } } @media screen and (min-width: 1024px) { .blackwell-hgxb th {max-width: 150px;} } @media screen and (max-width: 1024px) and (min-width: 768px) { .scrolling { overflow-x: scroll; } .blackwell-hgxb td:first-child { text-align: left; background: white; } .blackwell-hgxb td { word-break: break-word; } } @media screen and (max-width: 767px) { .scrolling { overflow-x: scroll; } .blackwell-hgxb th:first-child { background: #f7f7f7; position: sticky; left: 0; } .blackwell-hgxb td:first-child { text-align: left; background: white; left: 0; position: sticky; top: 0; width: 120px; } } </style><div class="blackwell-hgxb scrolling"> <table cellpadding="0" cellspacing="0"> <thead> <tr> <th> </th> <th>HGX B200 </th> <th>HGX B100</th> </tr> </thead> <tbody> <tr> <td>Form Factor</td> <td>8x NVIDIA B200 SXM</td> <td>8x NVIDIA B100 SXM</td> </tr> <tr> <td>FP4 Tensor Core*</td> <td>144 PFLOPS</td> <td>112 PFLOPS</td> </tr> <tr> <td>FP8/FP6 Tensor Core*</td> <td>72 PFLOPS</td> <td>56 PFLOPS</td> </tr> <tr> <td>INT8 Tensor Core*</td> <td>72 POPS</td> <td>56 POPS</td> </tr> <tr> <td>FP16/BF16 Tensor Core*</td> <td>36 PFLOPS</td> <td>28 PFLOPS</td> </tr> <tr> <td>TF32 Tensor Core*</td> <td>18 PFLOPS</td> <td>14 PFLOPS</td> </tr> <tr> <td>FP32</td> <td>640 TFLOPS</td> <td>480 TFLOPS</td> </tr> <tr> <td>FP64</td> <td>320 TFLOPS</td> <td>240 TFLOPS</td> </tr> <tr> <td>FP64 Tensor Core</td> <td>320 TFLOPS</td> <td>240 TFLOPS</td> </tr> <tr> <td>Memory</td> <td>Up to 1.5TB</td> <td>Up to 1.5TB</td> </tr> <tr> <td>NVLink</td> <td>Fifth generation</td> <td>Fifth generation</td> </tr> <tr> <td>NVIDIA NVSwitch™</td> <td>Fourth generation</td> <td>Fourth generation</td> </tr> <tr> <td>NVSwitch GPU-to-GPU Bandwidth</td> <td>1.8TB/s</td> <td>1.8TB/s</td> </tr> <tr> <td>Total Aggregate Bandwidth</td> <td>14.4TB/s</td> <td>14.4TB/s</td> </tr> </tbody> </table> <div class="description color-lightuigraphics legal coloredTable-spec"> <p>* With sparsity</p> </div> </div></div> </div> </div> </div> </div> </div> </div> </div> <div id="tabs-ee66745612-item-0a0f43b7db-tabpanel" role="tabpanel" aria-labelledby="tabs-ee66745612-item-0a0f43b7db-tab" tabindex="0" class="cmp-tabs__tabpanel" data-cmp-hook-tabs="tabpanel"><div class="nv-container container responsivegrid"> <div id="container-0a0f43b7db" class=" " data-cmp-is="nv-container"> <div class="general-container"> <div class="aem-Grid aem-Grid--12 aem-Grid--default--12 "> <div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12"> <div id="nv-rawhtml-803bbe7588" class="general-container-text "> <div> <style> .hgx-2-chart table { width: 100%; /*! border-collapse: collapse; */ min-width: 500px; } .hgx-2-chart th, .hgx-2-chart td { vertical-align: top; padding: 15px; /* border-right: 1px solid #ccc; */ } .hgx-2-chart td { border-bottom: 1px solid #ccc; text-align: center; line-height: 1.25em; font-size: 14px; } .hgx-2-chart td:first-child { text-align: left; /*color: #76B900;*/ font-weight: bold; } /* .hgx-2-chart td:nth-child(1n) { max-width: 156px; } .hgx-2-chart td:last-child { border-right: 1px solid #ccc; } */ .hgx-2-chart th:first-child { background: #f7f7f7; position: static; left: 0; } .hgx-2-chart th { text-align: center; color: #000000; font-size: 16px; border-bottom: 1px solid #000000; padding-top: 20px; } .hgx-2-chart thead tr:nth-child(2) th { border-bottom: 3px solid #000000; } .hgx-2-chart tr:last-child td { border-bottom: none; } .hgx-2-chart tr:first-child th:first-child { border-bottom: none; } /* .hgx-2-chart tr:nth-child(even) { background: #EEEEEE; } */ .hgx-2-chart tr td:nth-child(odd){ background-color: #f7f7f7; } .hgx-2-chart tr td:nth-child(even){ background-color: #eee; } .legal.color-lightuigraphics { color: #999; } .hgx-2-chart tr td { max-width: 250px; } @media screen and (max-width: 1023px) { .hgx-2-chart td { word-break: break-word; } } @media screen and (min-width: 1024px) { .hgx-2-chart th {max-width: 150px;} } @media screen and (max-width: 1024px) and (min-width: 768px) { .scrolling { overflow-x: scroll; } .hgx-2-chart td:first-child { text-align: left; background: white; } .hgx-2-chart td { word-break: break-word; } } @media screen and (max-width: 767px) { .scrolling { overflow-x: scroll; } .hgx-2-chart th:first-child { background: #f7f7f7; position: sticky; left: 0; } .hgx-2-chart td:first-child { text-align: left; background: white; left: 0; position: sticky; top: 0; width: 120px; } } </style><div class="hgx-2-chart scrolling"> <table cellpadding="0" cellspacing="0"> <thead> <tr> <th> </th> <th colspan="4">HGX H200</th> </tr> <tr> <th> </th>  <th>4-GPU</th> <th>8-GPU</th> </tr> </thead> <tbody> <tr> <td>Form Factor</td> <td>4x NVIDIA H200 SXM</td> <td>8x NVIDIA H200 SXM</td> </tr> <tr> <td>FP8 Tensor Core*</td> <td>16 PFLOPS</td> <td>32 PFLOPS</td> </tr> <tr> <td>INT8 Tensor Core*</td> <td>16 POPS</td> <td>32 POPS</td> </tr> <tr> <td>FP16/BF16 Tensor Core*</td> <td>8 PFLOPS</td> <td>16 PFLOPS</td> </tr> <tr> <td>TF32 Tensor Core*</td> <td>4 PFLOPS</td> <td>8 PFLOPS</td> </tr> <tr> <td>FP32</td> <td>270 TFLOPS</td> <td>540 TFLOPS</td> </tr> <tr> <td>FP64</td> <td>140 TFLOPS</td> <td>270 TFLOPS</td> </tr> <tr> <td>FP64 Tensor Core</td> <td>270 TFLOPS</td> <td>540 TFLOPS</td> </tr> <tr> <td>Memory</td> <td>564GB HBM3</td> <td>1.1TB HBM3</td> </tr> <tr> <td>GPU Aggregate Bandwidth</td> <td>19GB/s</td> <td>38GB/s</td> </tr> <tr> <td>NVLink</td> <td>Fourth generation</td> <td>Fourth generation</td> </tr> <tr> <td>NVSwitch</td> <td>N/A</td> <td>Third generation</td> </tr> <tr> <td>NVSwitch GPU-to-GPU Bandwidth</td> <td>N/A</td> <td>900GB/s</td> </tr> <tr> <td>Total Aggregate Bandwidth</td> <td>3.6TB/s</td> <td>7.2TB/s</td> </tr> </tbody> </table>  </div></div> </div> </div> <div class="nv-separator separator aem-GridColumn aem-GridColumn--default--12"> <div id="nv-separator-e880de90cc" class="cmp-separator"> <style> @media screen and (min-width:1350px){ #nv-separator-e880de90cc{ height:45px; } } @media screen and (min-width:1024px) and (max-width:1349px){ #nv-separator-e880de90cc{ height:45px; } } @media screen and (min-width:640px) and (max-width:1023px){ #nv-separator-e880de90cc{ height:30px; } } @media screen and (max-width: 639px){ #nv-separator-e880de90cc{ height:30px; } } </style> </div></div> <div class="nv-rawhtml aem-GridColumn aem-GridColumn--default--12"> <div id="nv-rawhtml-68032bdcab" class="general-container-text "> <div> <style> .hgx-3-chart table { width: 100%; /*! border-collapse: collapse; */ min-width: 500px; } .hgx-3-chart th, .hgx-3-chart td { vertical-align: top; padding: 15px; /* border-right: 1px solid #ccc; */ } .hgx-3-chart td { border-bottom: 1px solid #ccc; text-align: center; line-height: 1.25em; font-size: 14px; } .hgx-3-chart td:first-child { text-align: left; /*color: #76B900;*/ font-weight: bold; } /* .hgx-3-chart td:nth-child(1n) { max-width: 156px; } .hgx-3-chart td:last-child { border-right: 1px solid #ccc; } */ .hgx-3-chart th:first-child { background: #f7f7f7; position: static; left: 0; } .hgx-3-chart th { text-align: center; color: #000000; font-size: 16px; border-bottom: 1px solid #000000; padding-top: 20px; } .hgx-3-chart thead tr:nth-child(2) th { border-bottom: 3px solid #000000; } .hgx-3-chart tr:last-child td { border-bottom: none; } .hgx-3-chart tr:first-child th:first-child { border-bottom: none; } /* .hgx-3-chart tr:nth-child(even) { background: #EEEEEE; } */ .hgx-3-chart tr td:nth-child(odd){ background-color: #f7f7f7; } .hgx-3-chart tr td:nth-child(even){ background-color: #eee; } .legal.color-lightuigraphics { color: #999; } .hgx-3-chart tr td { max-width: 250px; } @media screen and (max-width: 1023px) { .hgx-3-chart td { word-break: break-word; } } @media screen and (min-width: 1024px) { .hgx-3-chart th {max-width: 150px;} } @media screen and (max-width: 1024px) and (min-width: 768px) { .scrolling { overflow-x: scroll; } .hgx-3-chart td:first-child { text-align: left; background: white; } .hgx-3-chart td { word-break: break-word; } } @media screen and (max-width: 767px) { .scrolling { overflow-x: scroll; } .hgx-3-chart th:first-child { background: #f7f7f7; position: sticky; left: 0; } .hgx-3-chart td:first-child { text-align: left; background: white; left: 0; position: sticky; top: 0; width: 120px; } } </style><div class="hgx-3-chart scrolling"> <table cellpadding="0" cellspacing="0"> <thead> <tr> <th> </th> <th colspan="4">HGX H100</th> </tr> <tr> <th> </th> <th>4-GPU</th> <th>8-GPU</th> </tr> </thead> <tbody> <tr> <td>Form Factor</td> <td>4x NVIDIA H100 SXM</td> <td>8x NVIDIA H100 SXM</td> </tr> <tr> <td>FP8 Tensor Core*</td> <td>16 PFLOPS</td> <td>32 PFLOPS</td> </tr> <tr> <td>INT8 Tensor Core*</td> <td>16 POPS</td> <td>32 POPS</td> </tr> <tr> <td>FP16/BF16 Tensor Core*</td> <td>8 PFLOPS</td> <td>16 PFLOPS</td> </tr> <tr> <td>TF32 Tensor Core*</td> <td>4 PFLOPS</td> <td>8 PFLOPS</td> </tr> <tr> <td>FP32</td> <td>270 TFLOPS</td> <td>540 TFLOPS</td> </tr> <tr> <td>FP64</td> <td>140 TFLOPS</td> <td>270 TFLOPS</td> </tr> <tr> <td>FP64 Tensor Core</td> <td>270 TFLOPS</td> <td>540 TFLOPS</td> </tr> <tr> <td>Memory</td> <td>320GB HBM3</td> <td>640GB HBM3</td> </tr> <tr> <td>GPU Aggregate Bandwidth</td> <td>13GB/s</td> <td>27GB/s</td> </tr> <tr> <td>NVLink</td> <td>Fourth generation</td> <td>Fourth generation</td> </tr> <tr> <td>NVSwitch</td> <td>N/A</td> <td>Third generation</td> </tr> <tr> <td>NVSwitch GPU-to-GPU Bandwidth</td> <td>N/A</td> <td>900GB/s</td> </tr> <tr> <td>Total Aggregate Bandwidth</td> <td>3.6TB/s</td> <td>7.2TB/s</td> </tr> </tbody> </table> <div class="description color-lightuigraphics legal coloredTable-spec"> <p>* With sparsity</p> </div> </div></div> </div> </div> <div class="nv-separator separator aem-GridColumn aem-GridColumn--default--12"> <div id="nv-separator-9aaae2e228" class="cmp-separator"> <style> @media screen and (min-width:1350px){ #nv-separator-9aaae2e228{ height:45px; } } @media screen and (min-width:1024px) and (max-width:1349px){ #nv-separator-9aaae2e228{ height:45px; } } @media screen and (min-width:640px) and (max-width:1023px){ #nv-separator-9aaae2e228{ height:30px; } } @media screen and (max-width: 639px){ #nv-separator-9aaae2e228{ height:30px; } } </style> </div></div> <div class="nv-button button nv-button-text nv-button-caret aem-GridColumn aem-GridColumn--default--12"> <div class="nv-button-standard button-center button-lap-center button-tab-center button-mob-center"> <a id="nv-button-c34cdfa351" class="btn-content btncta " target="_blank" data-cmp-clickable="false " rel="noopener noreferrer" 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$(".stbrdcrmbblock").addClass("stbrdcrmbshadow"); } // Trigger custom event when unibrow is loaded window.dispatchEvent(new CustomEvent("nvOnUnibrowClose")); }); } } } } } }); }); var position = $(window).scrollTop(); $(window).scroll(function() { if($(".hide-unibrow").length<1 && $(".stbrdcrmbblock.stbrdcrmbstick").length>0) { var scroll = $(window).scrollTop(); if (scroll > position) { if($(window).width() < NVIDIAGDC.tabletBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+56+"px"); } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px"); } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))-46+"px"); } else { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px"); } $(".stbrdcrmbblock").addClass("stbrdcrmbstick"); //console.log('scrollDown'); } else { if($(window).width() < NVIDIAGDC.tabletBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+56+"px"); } else if($(window).width() > NVIDIAGDC.tabletBreakpoint && $(window).width() < NVIDIAGDC.desktopBreakpoint){ $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+46+"px"); } else if($(window).width() == NVIDIAGDC.desktopBreakpoint) { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+"px"); } else { $(".stbrdcrmbblock").css("top", parseInt($(".global-nav").css("height"))+46+"px"); } $(".stbrdcrmbblock").addClass("stbrdcrmbstickwthhead"); //console.log('scrollUp'); } position = scroll; } }); </script> </body> </html>

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