{"id":239,"date":"2025-10-25T19:07:04","date_gmt":"2025-10-25T19:07:04","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/?page_id=239"},"modified":"2026-06-08T16:24:16","modified_gmt":"2026-06-08T16:24:16","slug":"nvidia-h100-sxm","status":"publish","type":"post","link":"https:\/\/pckumar.in\/datacenters\/nvidia-h100-sxm\/","title":{"rendered":"Nvidia H100 SXM"},"content":{"rendered":"

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Nvidia H100 SXM<\/h1>\n

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\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Nvidia H100 SXM<\/h2>\n
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An Order-of-Magnitude Leap for Accelerated Computing<\/h2>\n<\/div>\n<\/div>\n<\/div>\n
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The NVIDIA H100 Tensor Core GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the\u00a0<\/span>NVIDIA Hopper\u2122 architecture\u00a0<\/span>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>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n

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Product Specifications<\/h2>\n

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\u00a0<\/th>\nH100 SXM<\/th>\nH100 NVL<\/th>\n<\/tr>\n<\/thead>\n
FP64<\/td>\n34 teraFLOPS<\/td>\n30 teraFLOPs<\/td>\n<\/tr>\n
FP64 Tensor Core<\/td>\n67 teraFLOPS<\/td>\n60 teraFLOPs<\/td>\n<\/tr>\n
FP32<\/td>\n67 teraFLOPS<\/td>\n60 teraFLOPs<\/td>\n<\/tr>\n
TF32 Tensor Core*<\/sup><\/td>\n989 teraFLOPS<\/td>\n835 teraFLOPs<\/td>\n<\/tr>\n
BFLOAT16 Tensor Core*<\/sup><\/td>\n1,979 teraFLOPS<\/td>\n1,671 teraFLOPS<\/td>\n<\/tr>\n
FP16 Tensor Core*<\/sup><\/td>\n1,979 teraFLOPS<\/td>\n1,671 teraFLOPS<\/td>\n<\/tr>\n
FP8 Tensor Core*<\/sup><\/td>\n3,958 teraFLOPS<\/td>\n3,341 teraFLOPS<\/td>\n<\/tr>\n
INT8 Tensor Core*<\/sup><\/td>\n3,958 TOPS<\/td>\n3,341 TOPS<\/td>\n<\/tr>\n
GPU Memory<\/td>\n80GB<\/td>\n94GB<\/td>\n<\/tr>\n
GPU Memory Bandwidth<\/td>\n3.35TB\/s<\/td>\n3.9TB\/s<\/td>\n<\/tr>\n
Decoders<\/td>\n7 NVDEC
7 JPEG<\/td>\n		7 NVDEC
7 JPEG<\/td>\n<\/tr>\n
Max Thermal Design Power (TDP)<\/td>\nUp to 700W (configurable)<\/td>\n350-400W (configurable)<\/td>\n<\/tr>\n
Multi-Instance GPUs<\/td>\nUp to 7 MIGS @ 10GB each<\/td>\nUp to 7 MIGS @ 12GB each<\/td>\n<\/tr>\n
Form Factor<\/td>\nSXM<\/td>\nPCIe
dual-slot air-cooled<\/td>\n<\/tr>\n
Interconnect<\/td>\nNVIDIA NVLink\u2122: 900GB\/s
PCIe Gen5: 128GB\/s<\/td>\n		NVIDIA NVLink: 600GB\/s
PCIe Gen5: 128GB\/s<\/td>\n<\/tr>\n
Server Options<\/td>\nNVIDIA HGX H100 Partner and NVIDIA-
Certified Systems\u2122<\/sup>\u00a0<\/span>with 4 or 8 GPUs
NVIDIA DGX H100 with 8 GPUs<\/td>\n		Partner and NVIDIA-Certified Systems with 1\u20138 GPUs<\/td>\n<\/tr>\n
NVIDIA AI Enterprise<\/td>\nAdd-on<\/td>\nIncluded<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n
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Nvidia H100 SXM \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0Nvidia H100 SXM An Order-of-Magnitude Leap for Accelerated Computing The NVIDIA H100 Tensor Core GPU delivers exceptional performance, scalability, and security for every workload. H100 uses breakthrough innovations based on the\u00a0NVIDIA Hopper\u2122 architecture\u00a0to deliver industry-leading conversational AI, speeding up large language models (LLMs) by 30X. H100 also […]<\/p>\n","protected":false},"author":3,"featured_media":98,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"2880","footnotes":""},"categories":[6],"tags":[],"class_list":["post-239","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-nvidia"],"_links":{"self":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/239","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/comments?post=239"}],"version-history":[{"count":9,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/239\/revisions"}],"predecessor-version":[{"id":3437,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/239\/revisions\/3437"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/98"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=239"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/categories?post=239"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/tags?post=239"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}