{"product_id":"nvidia-h200-tensor-core-gpu-supercharging-ai-and-hpc-workloads","title":"NVIDIA H200 Tensor Core GPU Supercharging AI and HPC workloads","description":"\u003cdiv 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--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv id=\"nv-title-4b0aecd5cc\" class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003ch2 class=\"title\"\u003eThe GPU for Generative AI and HPC\u003c\/h2\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cdiv 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--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cp\u003e\u003cspan class=\"p--large\"\u003eThe NVIDIA H200 GPU supercharges generative AI and high-performance computing (HPC) workloads with game-changing performance and memory capabilities. As the first GPU with HBM3E, the H200’s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e\n\u003cdiv class=\"xp-llm-section\"\u003e\n\u003cdiv class=\"xp-llm-container\"\u003e\n\u003c!-- Left Image --\u003e\n\u003cdiv class=\"xp-llm-image\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/llm-inference-chart.svg?v=1776493167\" alt=\"LLM Performance\"\u003e\u003c\/div\u003e\n\u003c!-- Right Content --\u003e\n\u003cdiv class=\"xp-llm-content\"\u003e\n\u003ch2 class=\"xp-llm-title\"\u003eUnlock Insights With High-Performance LLM Inference\u003c\/h2\u003e\n\u003cp class=\"xp-llm-text\"\u003eIn the ever-evolving landscape of AI, businesses rely on LLMs to address a diverse range of inference needs. An AI inference accelerator must deliver the highest throughput at the lowest TCO when deployed at scale for a massive user base.\u003c\/p\u003e\n\u003cp class=\"xp-llm-text\"\u003eThe H200 boosts inference speed by up to 2X compared to H100 GPUs when handling LLMs like Llama2.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Wrapper *\/\n.xp-llm-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-llm-container {\n  max-width: 1100px;\n  margin: auto;\n  display: flex;\n  align-items: center;\n  gap: 40px;\n  flex-wrap: wrap;\n}\n\n\/* Image *\/\n.xp-llm-image {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-llm-image img {\n  width: 100%;\n  height: auto;\n  border-radius: 6px;\n}\n\n\/* Content *\/\n.xp-llm-content {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-llm-title {\n  font-size: 28px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-llm-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.6;\n  margin-bottom: 15px;\n}\n\n\/* Button *\/\n.xp-llm-btn {\n  display: inline-block;\n  margin-top: 10px;\n  font-size: 14px;\n  font-weight: 600;\n  color: #000;\n  text-decoration: none;\n  border-bottom: 2px solid #76b900;\n  padding-bottom: 3px;\n}\n\n.xp-llm-btn:hover {\n  color: #76b900;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-llm-container {\n    flex-direction: column;\n    text-align: center;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv 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--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cdiv class=\"xp-hpc-section\"\u003e\n\u003cdiv class=\"xp-hpc-container\"\u003e\n\u003c!-- Left Content --\u003e\n\u003cdiv class=\"xp-hpc-content\"\u003e\n\u003ch3 class=\"xp-hpc-title\"\u003eSupercharge High-Performance Computing\u003c\/h3\u003e\n\u003cp class=\"xp-hpc-text\"\u003eMemory bandwidth is crucial for HPC applications as it enables faster data transfer, reducing complex processing bottlenecks. For memory-intensive HPC applications like simulations, scientific research, and artificial intelligence, the H200’s higher memory bandwidth ensures that data can be accessed and manipulated efficiently, leading up to 110X faster time to results compared to CPUs.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c!-- Right Charts --\u003e\n\u003cdiv class=\"xp-hpc-charts\"\u003e\n\u003c!-- Chart 1 --\u003e\n\u003cdiv class=\"xp-hpc-chart-box\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/high-performance-computing-chart.svg?v=1776493556\" alt=\"ML Performance Chart\"\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-hpc-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-hpc-container {\n  max-width: 1200px;\n  margin: auto;\n  display: flex;\n  gap: 40px;\n  align-items: center;\n  flex-wrap: wrap;\n}\n\n\/* Left Content *\/\n.xp-hpc-content {\n  flex: 1;\n  min-width: 300px;\n}\n\n.xp-hpc-title {\n  font-size: 30px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-hpc-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n}\n\n\/* Right Charts *\/\n.xp-hpc-charts {\n  flex: 1;\n  min-width: 300px;\n  display: flex;\n  gap: 20px;\n}\n\n\/* Individual Chart *\/\n.xp-hpc-chart-box {\n  flex: 1;\n}\n\n.xp-hpc-chart-box img,\n.xp-hpc-chart-box svg {\n  width: 100%;\n  height: auto;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-hpc-container {\n    flex-direction: column;\n  }\n\n  .xp-hpc-charts {\n    flex-direction: column;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv 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--7 aem-GridColumn--offset--phone--0 aem-GridColumn--offset--default--0\"\u003e\n\u003cdiv class=\"general-container-text\"\u003e\n\u003cdiv class=\"text-left lap-text-left tab-text-center mob-text-center\"\u003e\n\u003cdiv class=\"description\"\u003e\n\u003cdiv class=\"xp-energy-section\"\u003e\n\u003cdiv class=\"xp-energy-container\"\u003e\n\u003c!-- Left Chart --\u003e\n\u003cdiv class=\"xp-energy-chart\"\u003e\u003cimg src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/energy-tco-chart.svg?v=1776493785\" alt=\"Energy and TCO Reduction Chart\"\u003e\u003c\/div\u003e\n\u003c!-- Right Content --\u003e\n\u003cdiv class=\"xp-energy-content\"\u003e\n\u003ch3 class=\"xp-energy-title\"\u003eReduce Energy and TCO\u003c\/h3\u003e\n\u003cp class=\"xp-energy-text\"\u003eWith the introduction of the H200, energy efficiency and TCO reach new levels. This cutting-edge technology offers unparalleled performance, all within the same power profile as the H100. AI factories and supercomputing systems that are not only faster but also more eco-friendly, deliver an economic edge that propels the AI and scientific community forward.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-energy-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n}\n\n\/* Container *\/\n.xp-energy-container {\n  max-width: 1100px;\n  margin: auto;\n  display: flex;\n  align-items: center;\n  gap: 40px;\n  flex-wrap: wrap;\n}\n\n\/* Chart *\/\n.xp-energy-chart {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-energy-chart img,\n.xp-energy-chart svg {\n  width: 100%;\n  height: auto;\n}\n\n\/* Content *\/\n.xp-energy-content {\n  flex: 1;\n  min-width: 280px;\n}\n\n.xp-energy-title {\n  font-size: 30px;\n  font-weight: 700;\n  margin-bottom: 15px;\n}\n\n.xp-energy-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-energy-container {\n    flex-direction: column;\n    text-align: center;\n  }\n}\n\u003c\/style\u003e\n\u003cdiv class=\"xp-accel-section\"\u003e\n\u003cdiv class=\"xp-accel-container\"\u003e\n\u003c!-- Title --\u003e\n\u003ch2 class=\"xp-accel-title\"\u003eAccelerating AI Acceleration for Mainstream Enterprise Servers With H200 NVL\u003c\/h2\u003e\n\u003c!-- Image --\u003e\n\u003cdiv class=\"xp-accel-image\"\u003e\u003cimg alt=\"H200 NVL\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/h200nvl-ari.jpg?v=1776494137\"\u003e\u003c\/div\u003e\n\u003c!-- Description --\u003e\n\u003cp class=\"xp-accel-text\"\u003eNVIDIA H200 NVL is ideal for lower-power, air-cooled enterprise rack designs that require flexible configurations, delivering acceleration for every AI and HPC workload regardless of size. With up to four GPUs connected by NVIDIA NVLink™ and a 1.5x memory increase, large language model (LLM) inference can be accelerated up to 1.7x, and HPC applications achieve up to 1.3x more performance over the H100 NVL.\u003c\/p\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cstyle\u003e\n\/* Section *\/\n.xp-accel-section {\n  padding: 50px 20px;\n  background: #f5f5f5;\n  text-align: center;\n}\n\n\/* Container *\/\n.xp-accel-container {\n  max-width: 1100px;\n  margin: auto;\n}\n\n\/* Title *\/\n.xp-accel-title {\n  font-size: 32px;\n  font-weight: 700;\n  margin-bottom: 25px;\n}\n\n\/* Image *\/\n.xp-accel-image {\n  margin-bottom: 20px;\n}\n\n.xp-accel-image img {\n  width: 100%;\n  max-width: 900px;\n  height: auto;\n  border-radius: 6px;\n}\n\n\/* Text *\/\n.xp-accel-text {\n  font-size: 14px;\n  color: #555;\n  line-height: 1.7;\n  max-width: 900px;\n  margin: auto;\n}\n\n\/* Mobile *\/\n@media (max-width: 768px) {\n  .xp-accel-title {\n    font-size: 24px;\n  }\n}\n\u003c\/style\u003e\n\u003cp\u003e\u003cstrong\u003eSpecifications:\u003c\/strong\u003e\u003c\/p\u003e\n\u003ctable style=\"width: 100%; height: 757.938px;\"\u003e\n\u003ctbody\u003e\n\u003ctr style=\"height: 42.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 42.5938px;\"\u003e\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 42.5938px;\"\u003e\u003cstrong\u003eH200 NVL\u003c\/strong\u003e\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 31.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 31.5938px;\"\u003eFP64\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 31.5938px;\"\u003e30 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 31.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 31.5938px;\"\u003eFP64 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 31.5938px;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 34.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 34.5938px;\"\u003eFP32\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 34.5938px;\"\u003e60 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 33.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 33.5938px;\"\u003eTF32 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 33.5938px;\"\u003e835 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eBFLOAT16 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 33.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 33.5938px;\"\u003eFP16 Tensor Core²\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 33.5938px;\"\u003e1,671 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 36.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 36.5938px;\"\u003eFP8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 36.5938px;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 34.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 34.5938px;\"\u003eINT8 Tensor Core\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 34.5938px;\"\u003e3,341 TFLOPS\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 28.5938px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 28.5938px;\"\u003eGPU Memory\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 28.5938px;\"\u003e141GB\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eGPU Memory Bandwidth\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e4.8TB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eDecoders\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003e7 NVDEC\u003cbr\u003e7 JPEG\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eConfidential Computing\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eSupported\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.75px;\"\u003eMax Thermal Design Power (TDP)\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.75px;\"\u003eUp to 600W (configurable)\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eMulti-Instance GPUs\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eUp to 7 MIGs @16.5GB each\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eForm Factor\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003ePCIe\u003cbr\u003eDual-slot air-cooled\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.7812px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.7812px;\"\u003eInterconnect\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.7812px;\"\u003e2- or 4-way NVIDIA NVLink bridge:\u003cbr\u003e900GB\/s per GPU\u003cbr\u003ePCIe Gen5: 128GB\/s\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 58.75px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 58.75px;\"\u003eServer Options\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 58.75px;\"\u003eNVIDIA MGX H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr style=\"height: 39.1875px;\"\u003e\n\u003ctd style=\"width: 34.9462%; height: 39.1875px;\"\u003eNVIDIA AI Enterprise\u003c\/td\u003e\n\u003ctd style=\"width: 65.0538%; height: 39.1875px;\"\u003eIncluded\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/tbody\u003e\n\u003c\/table\u003e\n\u003cp\u003e \u003c\/p\u003e","brand":"Nvidia","offers":[{"title":"Default Title","offer_id":51180988924219,"sku":"NVIDIA H200","price":2890000.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0864\/6144\/8507\/files\/490-BKRM_v1.jpg?v=1776495692","url":"https:\/\/vishalperipherals.com\/products\/nvidia-h200-tensor-core-gpu-supercharging-ai-and-hpc-workloads","provider":"Vishal Peripherals","version":"1.0","type":"link"}