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Heights, Accelerating AI and HPC Applications for Mainstream Enterprise Servers" > <header class="entry-header"> <div class="inner3">  <h1>Hopper Scales New Heights, Accelerating AI and HPC Applications for Mainstream Enterprise Servers</h1> <div class="nvb4-subtitle"> <div class="nvb4-subtitle-inner"> NVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs and offers up to 1.7x faster large language model inference and 1.3x more performance on high-performance computing applications. </div> </div> <div class="author_meta"> <span class="entry-date">November 18, 2024</span> <span class="meta-sep">by</span> <span class="author vcard"><a class="url fn n" href="https://blogs.nvidia.com/blog/author/sandeepgupte/" title="View all posts by Sandeep Gupte">Sandeep Gupte</a></span> </div> </div>  <div class="entry-title img-bg orientation-landscape"> <div class="tile-image-wrapper"><img width="1280" height="720" src="https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image-1280x720.jpg" class="attachment-medium_large size-medium_large" alt="NVIDIA H200 NVL" decoding="async" fetchpriority="high" srcset="https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image-1280x720.jpg 1280w, https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image-960x540.jpg 960w, https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image-1680x945.jpg 1680w, https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image-1536x864.jpg 1536w, https://blogs.nvidia.com/wp-content/uploads/2024/11/H200-NVL-Image.jpg 1920w" sizes="(max-width: 1280px) 100vw, 1280px" /></div> </div> </header>  <div class="entry-meta-social"> <div class="share-count-section"> <span class="share-text"> <span class="icon icon-share"></span> Share </span> </div> <ul class="entry-meta-social-links-list"> <li><a href="https://twitter.com/intent/tweet?text=Hopper Scales New Heights, Accelerating AI and HPC 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class="bsf-rt-display-postfix" postfix="mins"></span></span><div id="bsf_rt_marker"></div><p><span>Since its introduction, the </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/technologies/hopper-architecture/?srsltid=AfmBOoo3z76Q-w79irSnBgfCISJInSPhfxdLVlfO64tKyjudVY_TGU7I"><span>NVIDIA Hopper architecture</span></a><span> has transformed the AI and high-performance computing (HPC) landscape, helping enterprises, researchers and developers tackle the world’s most complex challenges with higher performance and greater energy efficiency.</span></p> <p><span>During the </span><a target="_blank" href="https://www.nvidia.com/en-us/events/supercomputing/?srsltid=AfmBOorUSrestIX8obYfGXXinVpEbB1c0KCEONLpVA6h7npd9U1S8YX1"><span>Supercomputing 2024</span></a><span> conference, NVIDIA announced the availability of the </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/h200/#h200nvl"><span>NVIDIA H200 NVL PCIe GPU</span></a><span> — the latest addition to the Hopper family. H200 NVL is ideal for organizations with data centers looking for lower-power, air-cooled enterprise rack designs with flexible configurations to deliver acceleration for every AI and HPC workload, regardless of size.</span></p> <p><span>According to a recent survey, roughly 70% of enterprise racks are 20kW and below and use air cooling. This makes PCIe GPUs essential, as they provide granularity of node deployment, whether using one, two, four or eight </span><span>GPUs </span><span>—</span><span> enabling data centers to </span><span>pack more computing power into smaller spaces. Companies can then use their existing racks and select the number of GPUs that best suits their needs. </span></p> <p><span>Enterprises can use H200 NVL to accelerate AI and HPC applications, while also improving energy efficiency through reduced power consumption. With a 1.5x memory increase and 1.2x bandwidth increase over NVIDIA H100 NVL, companies can use H200 NVL to fine-tune LLMs within a few hours and deliver up to 1.7x faster inference performance. For HPC workloads, performance is boosted up to 1.3x over H100 NVL and 2.5x over the NVIDIA Ampere architecture generation. </span></p> <p><span>Complementing the raw power of the H200 NVL is </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/nvlink/"><span>NVIDIA NVLink</span></a><span> technology. The latest generation of NVLink provides </span><span>GPU-to-GPU </span><span>communication 7x faster than fifth-generation PCIe — delivering higher performance to meet the needs of HPC, large language model inference and fine-tuning. </span></p> <p><span>The NVIDIA H200 NVL is paired with powerful software tools that enable enterprises to accelerate applications from AI to HPC. It comes with a five-year subscription for </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/ai-enterprise/?srsltid=AfmBOop07IINaYG6TIxcC6N9Pi9K8xoRD4Tj-QcOys5s_j6ulA7i-R7c"><span>NVIDIA AI Enterprise</span></a><span>, a cloud-native software platform for the development and deployment of production AI. NVIDIA AI Enterprise includes </span><a target="_blank" href="https://www.nvidia.com/en-us/ai/?srsltid=AfmBOoorqOfFNxcEbwD0GtMYVA97BPUwT7vnEBF8ZRr2dZWRPMlBdz3t"><span>NVIDIA NIM</span></a><span> microservices for the secure, reliable deployment of high-performance AI model inference. </span></p> <h2><b>Companies Tapping Into Power of H200 NVL</b></h2> <p><span>With H200 NVL, NVIDIA provides enterprises with a full-stack platform to develop and deploy their AI and HPC workloads. </span></p> <p><span>Customers are seeing significant impact for multiple AI and HPC use cases across industries, such as visual AI agents and chatbots for customer service, trading algorithms for finance, medical imaging for improved anomaly detection in healthcare, pattern recognition for manufacturing, and seismic imaging for federal science organizations. </span></p> <p><span>Dropbox</span><span> is harnessing NVIDIA accelerated computing for its services and infrastructure.</span></p> <p><span>“</span><span>Dropbox</span><span> handles large amounts of content, requiring advanced AI and machine learning capabilities,” said Ali Zafar, VP of Infrastructure at Dropbox. “We’re exploring H200 NVL to continually improve our services and bring more value to our customers.”</span></p> <p><span>The </span><span>University of New Mexico</span><span> has been using NVIDIA accelerated computing in various research and academic applications. </span></p> <p><span>“As a public research university, our commitment to AI enables the university to be on the forefront of scientific and technological advancements,” said Prof. Patrick Bridges, director of the UNM Center for Advanced Research Computing. “As we shift to H200 NVL, we’ll be able to accelerate a variety of applications, including data science initiatives, bioinformatics and genomics research, physics and astronomy simulations, climate modeling and more.”</span></p> <h2><b>H200 NVL Available Across Ecosystem</b></h2> <p><a target="_blank" href="https://www.dell.com/en-us/dt/corporate/newsroom/announcements/detailpage.press-releases~usa~2024~11~dell-ai-factory.htm#/filter-on/Country:en-us"><span>Dell Technologies</span></a><span>,</span> <a target="_blank" href="https://community.hpe.com/t5/ai-unlocked/hpe-proliant-compute-dl380a-gen12-expands-performance-with/ba-p/7229518"><span>Hewlett Packard Enterprise</span></a><span>, </span><a target="_blank" href="https://news.lenovo.com/pressroom/press-releases/lenovo-delivers-next-wave-of-cooler-high-performance-solutions-to-propel-ai-accelerated-transformation/"><span>Lenovo</span></a><span> and </span><a target="_blank" href="http://www.supermicro.com/hpc"><span>Supermicro</span></a><span> are expected to deliver a wide range of configurations supporting H200 NVL. </span></p> <p><span>Additionally, H200 NVL will be available in platforms from </span><span>Aivres</span><span>, </span><a target="_blank" href="https://www.asrockrack.com/general/news.asp?id=253"><span>ASRock Rack</span></a><span>, </span><a target="_blank" href="https://servers.asus.com/news/ASUS-Presents-Infrastructure-Solutions-with-Advanced-Cooling-Portfolio-at-SC24"><span>ASUS</span></a><span>, </span><a target="_blank" href="https://www.gigabyte.com/Press/News/2237"><span>GIGABYTE</span></a><span>, </span><a target="_blank" href="https://www.ingrasys.com/news-detail/20241119/"><span>Ingrasys</span></a><span>, </span><span>Inventec</span><span>, </span><a target="_blank" href="https://www.msi.com/news/detail/MSI-Brings-NVIDIA-MGX-AI-Server-to-SC24-145037?utm_source=nvidia&utm_medium=blog"><span>MSI</span></a><span>, </span><a target="_blank" href="https://svr.pegatroncorp.com/News/9"><span>Pegatron</span></a><span>, </span><span>QCT</span><span>, </span><span>Wistron</span><span> and </span><span>Wiwynn</span><span>.</span></p> <p><span>Some systems are based on the </span><a target="_blank" href="https://www.nvidia.com/en-us/data-center/products/mgx/?srsltid=AfmBOooBmpEMMBnCbJbXBpcgdpTWPQmiLsG7aZVTqz9Ns8DA4B7n"><span>NVIDIA MGX</span></a><span> modular architecture, which enables computer makers to quickly and cost-effectively build a vast array of data center infrastructure designs.</span></p> <p><span>Platforms with H200 NVL will be available from NVIDIA’s global systems partners beginning in December.</span> <span>To complement availability from leading global partners, NVIDIA is also developing an </span><a href="https://blogs.nvidia.com/blog/enterprise-reference-architectures/"><span>Enterprise Reference Architecture</span></a><span> for H200 NVL systems. </span></p> <p><span>The reference architecture will incorporate NVIDIA’s expertise and design principles, so partners and customers can design and deploy high-performance AI infrastructure based on H200 NVL at scale. This includes full-stack hardware and software recommendations, with detailed guidance on optimal server, cluster and network configurations.</span> <span>Networking is optimized for the highest performance with the </span><a target="_blank" href="https://www.nvidia.com/en-us/networking/spectrumx/"><span>NVIDIA Spectrum-X</span></a><span> Ethernet platform.</span></p> <p><span>NVIDIA technologies will be showcased on the showroom floor at SC24, taking place at the Georgia World Congress Center through Nov. 22. To learn more, watch NVIDIA’s </span><a target="_blank" href="https://www.nvidia.com/en-us/events/supercomputing"><span>special address</span></a><span>.</span></p> <p><i><span>See</span></i><a target="_blank" href="https://www.nvidia.com/en-us/about-nvidia/legal-info/"> <i><span>notice</span></i></a><i><span> regarding software product information.</span></i></p> <div class="has-social-placeholder has-content-area" data-url="https://blogs.nvidia.com/blog/hopper-h200-nvl/" data-title="Hopper Scales New Heights, Accelerating AI and HPC Applications for Mainstream Enterprise Servers" data-hashtags="" data-post-id="75737"></div> <footer id="post-footer" class="entry-footer "> <div class="entry-footer-categories"><span class="cat-links">Categories: <a href="https://blogs.nvidia.com/blog/category/enterprise/" rel="category tag">Data Center</a> | <a href="https://blogs.nvidia.com/blog/category/enterprise/supercomputing/" rel="category tag">Supercomputing</a></span></div><div class="entry-footer-tags"><span class="tags-links">Tags: <a href="https://blogs.nvidia.com/blog/tag/artificial-intelligence/" rel="tag">Artificial Intelligence</a> | <a href="https://blogs.nvidia.com/blog/tag/events/" rel="tag">Events</a> | <a href="https://blogs.nvidia.com/blog/tag/high-performance-computing/" rel="tag">High-Performance Computing</a> | <a href="https://blogs.nvidia.com/blog/tag/nvidia-hopper-architecture/" rel="tag">NVIDIA Hopper Architecture</a> | <a href="https://blogs.nvidia.com/blog/tag/nvlink/" rel="tag">NVLink</a></span></div><div id="disqus_thread"></div> </footer> </div> <div id="secondary" class="single-latest-news-widget-area" role="complementary"> <aside id="nvb5_subscribe_widget-2" class="widget NVB5_Subscribe_Widget"> <div class="subscribe-wrapper"> <img src="https://blogs.nvidia.com/gtc25-web-drmk-nv-blog-reg-now-406x350/" alt="Subscribe Widget"> <a href="https://www.nvidia.com/gtc/?nvid=nv-int-bnr-230844" class="subscribe-inner"> </a> </div> 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