{"id":228,"date":"2025-10-25T18:54:06","date_gmt":"2025-10-25T18:54:06","guid":{"rendered":"https:\/\/pckumar.in\/datacenters\/?page_id=228"},"modified":"2026-06-08T16:41:31","modified_gmt":"2026-06-08T16:41:31","slug":"nvidia-hgx-b200","status":"publish","type":"post","link":"https:\/\/pckumar.in\/datacenters\/nvidia-hgx-b200\/","title":{"rendered":"NVIDIA HGX B200"},"content":{"rendered":"

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NVIDIA HGX B200<\/h1>\n

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NVIDIA HGX B200<\/h2>\n

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NVIDIA HGX B200\u00a0<\/span>is revolutionizing accelerated computing by unlocking unprecedented performance and\u00a0<\/span>energy efficiency. This post shows how HGX B200 is outperforming its predecessor\u00a0<\/span>NVIDIA HGX H100\u00a0<\/span>in environmental metrics, including reduced carbon intensity, through a comparison of their recently published\u00a0<\/span>product carbon footprint (PCF) summaries.\u00a0<\/p>\n

Specifically, an analysis of the PCF data reveals that HGX B200 shows a 24% reduction of embodied carbon emissions across large workloads such as AI training and inference.<\/p>\n

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HGX B200 and HGX H100 are accelerated computing platforms composed of eight GPUs each, with high-speed interconnects through NVIDIA NVLink and NVIDIA NVSwitch to accelerate AI performance at scale. Both are designed for high-performance computing (HPC) and supporting data analytics workloads.\u00a0<\/p>\n

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HGX B200 and HGX H100 are accelerated computing platforms composed of eight GPUs each, with high-speed interconnects through NVIDIA NVLink and NVIDIA NVSwitch to accelerate AI performance at scale. Both are designed for high-performance computing (HPC) and supporting data analytics workloads.\u00a0<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.27.5″ _module_preset=”default” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
Specification<\/th>\nHGX B300<\/th>\nHGX B200<\/th>\n<\/tr>\n<\/thead>\n
Form Factor<\/td>\n8x NVIDIA Blackwell Ultra SXM<\/td>\n8x NVIDIA Blackwell SXM<\/td>\n<\/tr>\n
FP4 Tensor Core**<\/td>\n144 PFLOPS | 105 PFLOPS<\/td>\n144 PFLOPS | 72 PFLOPS<\/td>\n<\/tr>\n
FP8\/FP6 Tensor Core*<\/td>\n72 PFLOPS<\/td>\n72 PFLOPS<\/td>\n<\/tr>\n
INT8 Tensor Core*<\/td>\n2 POPS<\/td>\n72 POPS<\/td>\n<\/tr>\n
FP16\/BF16 Tensor Core*<\/td>\n36 PFLOPS<\/td>\n36 PFLOPS<\/td>\n<\/tr>\n
TF32 Tensor Core*<\/td>\n18 PFLOPS<\/td>\n18 PFLOPS<\/td>\n<\/tr>\n
FP32<\/td>\n600 TFLOPS<\/td>\n600 TFLOPS<\/td>\n<\/tr>\n
FP64\/FP64 Tensor Core<\/td>\n10 TFLOPS<\/td>\n296 TFLOPS<\/td>\n<\/tr>\n
Total Memory<\/td>\nUp to 2.3 TB<\/td>\n1.4 TB<\/td>\n<\/tr>\n
NVLink<\/td>\nFifth generation<\/td>\nFifth generation<\/td>\n<\/tr>\n
NVIDIA NVSwitch\u2122<\/td>\nNVLink 5 Switch<\/td>\nNVLink 5 Switch<\/td>\n<\/tr>\n
NVSwitch GPU-to-GPU Bandwidth<\/td>\n1.8 TB\/s<\/td>\n1.8 TB\/s<\/td>\n<\/tr>\n
Total NVLink Bandwidth<\/td>\n14.4 TB\/s<\/td>\n14.4 TB\/s<\/td>\n<\/tr>\n
Networking Bandwidth<\/td>\n1.6 TB\/s<\/td>\n0.8 TB\/s<\/td>\n<\/tr>\n
Attention Performance<\/td>\n2X<\/td>\n1X<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

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NVIDIA HGX B200NVIDIA HGX B200       NVIDIA HGX B200\u00a0is revolutionizing accelerated computing by unlocking unprecedented performance and\u00a0energy efficiency. This post shows how HGX B200 is outperforming its predecessor\u00a0NVIDIA HGX H100\u00a0in environmental metrics, including reduced carbon intensity, through a comparison of their recently published\u00a0product carbon footprint (PCF) summaries.\u00a0 Specifically, an analysis of the PCF […]<\/p>\n","protected":false},"author":3,"featured_media":101,"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-228","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\/228","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=228"}],"version-history":[{"count":9,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/228\/revisions"}],"predecessor-version":[{"id":3441,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/posts\/228\/revisions\/3441"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media\/101"}],"wp:attachment":[{"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/media?parent=228"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/categories?post=228"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pckumar.in\/datacenters\/wp-json\/wp\/v2\/tags?post=228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}