{"id":212,"date":"2025-10-25T12:55:54","date_gmt":"2025-10-25T12:55:54","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/?page_id=212"},"modified":"2026-06-09T02:55:34","modified_gmt":"2026-06-09T02:55:34","slug":"nvidia-hgx-h200-8gpu8x-nvidia-h200-sxm","status":"publish","type":"post","link":"https:\/\/pckumar.in\/datacenters\/nvidia-hgx-h200-8gpu8x-nvidia-h200-sxm\/","title":{"rendered":"NVIDIA HGX H200- 8GPU(8x NVIDIA H200 SXM)"},"content":{"rendered":"

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NVIDIA HGX H200- 8GPU<\/span><\/h1>\n

(8x NVIDIA H200 SXM)<\/span><\/h1>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_3″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ specialty=”on” admin_label=”Services” _builder_version=”4.27.4″ global_colors_info=”{}”][et_pb_column type=”1_2″ specialty_columns=”2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_row_inner _builder_version=”4.16″ global_colors_info=”{}”][et_pb_column_inner saved_specialty_column_type=”1_2″ _builder_version=”4.16″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/pckumar.in\/datacenters\/wp-content\/uploads\/2025\/10\/HGX-H200-8GPU8x-NVIDIA-H200-SXM.jpg” title_text=”HGX H200- 8GPU(8x NVIDIA H200 SXM)” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.27.4″ locked=”off” 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NVIDIA HGX H200- 8GPU<\/span><\/h1>\n

(8x NVIDIA H200 SXM)<\/span><\/h1>\n

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The NVIDIA H200 Tensor Core 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\u2019s larger and faster memory fuels the acceleration of generative AI and large language models (LLMs) while advancing scientific computing for HPC workloads.<\/span><\/p>\n

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Specifications<\/h2>\n<\/div>\n<\/div>\n<\/div>\n
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NVIDIA H200 Tensor Core GPU<\/h2>\n<\/div>\n<\/div>\n<\/div>\n
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NVIDIA H200 Tensor Core GPU Specifications<\/th>\n<\/tr>\n
Specification<\/th>\nH200 SXM\u00b9<\/th>\nH200 NVL\u00b9<\/th>\n<\/tr>\n<\/thead>\n
FP64<\/td>\n34 TFLOPS<\/td>\n30 TFLOPS<\/td>\n<\/tr>\n
FP64 Tensor Core<\/td>\n67 TFLOPS<\/td>\n60 TFLOPS<\/td>\n<\/tr>\n
FP32<\/td>\n67 TFLOPS<\/td>\n60 TFLOPS<\/td>\n<\/tr>\n
TF32 Tensor Core\u00b2<\/td>\n989 TFLOPS<\/td>\n835 TFLOPS<\/td>\n<\/tr>\n
BFLOAT16 Tensor Core\u00b2<\/td>\n1,979 TFLOPS<\/td>\n1,671 TFLOPS<\/td>\n<\/tr>\n
FP16 Tensor Core\u00b2<\/td>\n1,979 TFLOPS<\/td>\n1,671 TFLOPS<\/td>\n<\/tr>\n
FP8 Tensor Core\u00b2<\/td>\n3,958 TFLOPS<\/td>\n3,341 TFLOPS<\/td>\n<\/tr>\n
INT8 Tensor Core\u00b2<\/td>\n3,958 TFLOPS<\/td>\n3,341 TFLOPS<\/td>\n<\/tr>\n
GPU Memory<\/td>\n141GB<\/td>\n141GB<\/td>\n<\/tr>\n
GPU Memory Bandwidth<\/td>\n4.8TB\/s<\/td>\n4.8TB\/s<\/td>\n<\/tr>\n
Decoders<\/td>\n7 NVDEC
7 JPEG<\/td>\n		7 NVDEC
7 JPEG<\/td>\n<\/tr>\n
Confidential Computing<\/td>\nSupported<\/td>\nSupported<\/td>\n<\/tr>\n
Max Thermal Design Power (TDP)<\/td>\nUp to 700W configurable<\/td>\nUp to 600W configurable<\/td>\n<\/tr>\n
Multi-Instance GPUs<\/td>\nUp to 7 MIGs @18GB each<\/td>\nUp to 7 MIGs @16.5GB 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		2- or 4-way NVIDIA NVLink bridge:
900GB\/s per GPU
PCIe Gen5: 128GB\/s<\/td>\n<\/tr>\n
Server Options<\/td>\nNVIDIA HGX\u2122 H200 partner and NVIDIA-Certified Systems\u2122 with 4 or 8 GPUs<\/td>\nNVIDIA MGX\u2122 H200 NVL partner and NVIDIA-Certified Systems with up to 8 GPUs<\/td>\n<\/tr>\n
NVIDIA AI Enterprise<\/td>\nAdd-on<\/td>\nIncluded<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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NVIDIA HGX H200- 8GPU (8x NVIDIA H200 SXM) NVIDIA HGX H200- 8GPU (8x NVIDIA H200 SXM) The NVIDIA H200 Tensor Core 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\u2019s larger and faster memory fuels the acceleration of generative AI and […]<\/p>\n","protected":false},"author":3,"featured_media":106,"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-212","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\/212","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=212"}],"version-history":[{"count":9,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/212\/revisions"}],"predecessor-version":[{"id":3448,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/212\/revisions\/3448"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/106"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=212"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/categories?post=212"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/tags?post=212"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}