green-token-index / hardware.json
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Release 2026-10-19
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{
"version": "1",
"updated": "2026-10-19",
"data_version": "2026-10-19",
"retrieved": "2026-09-26",
"note": "Manufacturer ceilings transcribed from NVIDIA's published pages and documents on the retrieval date. NVIDIA does not publish power draw per MIG slice, and neither public benchmark on the index measures a sliced card. The '+me' media-extension variants of the 1g profiles are omitted.",
"tdp": [
{
"gpu": "A100 80GB",
"form": "SXM",
"max_tdp_w": 400,
"tdp_label": "400 W",
"memory": "80 GB HBM2e",
"source": "https://www.nvidia.com/en-us/data-center/a100/"
},
{
"gpu": "A100 80GB",
"form": "PCIe",
"max_tdp_w": 300,
"tdp_label": "300 W",
"memory": "80 GB HBM2e",
"source": "https://www.nvidia.com/en-us/data-center/a100/"
},
{
"gpu": "H100",
"form": "SXM",
"max_tdp_w": 700,
"tdp_label": "up to 700 W",
"memory": "80 GB HBM3",
"source": "https://www.nvidia.com/en-us/data-center/h100/"
},
{
"gpu": "H100",
"form": "NVL",
"max_tdp_w": 400,
"tdp_label": "350 to 400 W",
"memory": "94 GB HBM3",
"source": "https://www.nvidia.com/en-us/data-center/h100/"
},
{
"gpu": "H200",
"form": "SXM",
"max_tdp_w": 700,
"tdp_label": "up to 700 W",
"memory": "141 GB HBM3e",
"source": "https://www.nvidia.com/en-us/data-center/h200/"
},
{
"gpu": "H200",
"form": "NVL",
"max_tdp_w": 600,
"tdp_label": "up to 600 W",
"memory": "141 GB HBM3e",
"source": "https://www.nvidia.com/en-us/data-center/h200/"
},
{
"gpu": "B200",
"form": "HGX, SXM6",
"max_tdp_w": 1000,
"tdp_label": "configurable up to 1,000 W",
"memory": "180 GB HBM3e",
"source": "https://images.nvidia.com/aem-dam/Solutions/documents/HGX-B200-PCF-Summary.pdf"
}
],
"systems": [
{
"system": "DGX B200",
"gpus": "8 x B200",
"max_power_kw": 14.3,
"label": "~14.3 kW max",
"source": "https://www.nvidia.com/en-us/data-center/dgx-b200/"
}
],
"mig_profiles": [
{
"gpu": "A100 80GB",
"profile": "1g.10gb",
"memory_fraction": "1/8",
"sm_fraction": "1/7",
"instances": 7
},
{
"gpu": "A100 80GB",
"profile": "1g.20gb",
"memory_fraction": "1/4",
"sm_fraction": "1/7",
"instances": 4
},
{
"gpu": "A100 80GB",
"profile": "2g.20gb",
"memory_fraction": "2/8",
"sm_fraction": "2/7",
"instances": 3
},
{
"gpu": "A100 80GB",
"profile": "3g.40gb",
"memory_fraction": "4/8",
"sm_fraction": "3/7",
"instances": 2
},
{
"gpu": "A100 80GB",
"profile": "4g.40gb",
"memory_fraction": "4/8",
"sm_fraction": "4/7",
"instances": 1
},
{
"gpu": "A100 80GB",
"profile": "7g.80gb",
"memory_fraction": "full",
"sm_fraction": "7/7",
"instances": 1
},
{
"gpu": "H100 80GB",
"profile": "1g.10gb",
"memory_fraction": "1/8",
"sm_fraction": "1/7",
"instances": 7
},
{
"gpu": "H100 80GB",
"profile": "1g.20gb",
"memory_fraction": "1/4",
"sm_fraction": "1/7",
"instances": 4
},
{
"gpu": "H100 80GB",
"profile": "2g.20gb",
"memory_fraction": "2/8",
"sm_fraction": "2/7",
"instances": 3
},
{
"gpu": "H100 80GB",
"profile": "3g.40gb",
"memory_fraction": "4/8",
"sm_fraction": "3/7",
"instances": 2
},
{
"gpu": "H100 80GB",
"profile": "4g.40gb",
"memory_fraction": "4/8",
"sm_fraction": "4/7",
"instances": 1
},
{
"gpu": "H100 80GB",
"profile": "7g.80gb",
"memory_fraction": "full",
"sm_fraction": "7/7",
"instances": 1
},
{
"gpu": "H200 141GB",
"profile": "1g.18gb",
"memory_fraction": "1/8",
"sm_fraction": "1/7",
"instances": 7
},
{
"gpu": "H200 141GB",
"profile": "1g.35gb",
"memory_fraction": "1/4",
"sm_fraction": "1/7",
"instances": 4
},
{
"gpu": "H200 141GB",
"profile": "2g.35gb",
"memory_fraction": "2/8",
"sm_fraction": "2/7",
"instances": 3
},
{
"gpu": "H200 141GB",
"profile": "3g.71gb",
"memory_fraction": "4/8",
"sm_fraction": "3/7",
"instances": 2
},
{
"gpu": "H200 141GB",
"profile": "4g.71gb",
"memory_fraction": "4/8",
"sm_fraction": "4/7",
"instances": 1
},
{
"gpu": "H200 141GB",
"profile": "7g.141gb",
"memory_fraction": "full",
"sm_fraction": "7/7",
"instances": 1
},
{
"gpu": "B200 180GB",
"profile": "1g.23gb",
"memory_fraction": "1/8",
"sm_fraction": "1/7",
"instances": 7
},
{
"gpu": "B200 180GB",
"profile": "1g.45gb",
"memory_fraction": "1/4",
"sm_fraction": "1/7",
"instances": 4
},
{
"gpu": "B200 180GB",
"profile": "2g.45gb",
"memory_fraction": "2/8",
"sm_fraction": "2/7",
"instances": 3
},
{
"gpu": "B200 180GB",
"profile": "3g.90gb",
"memory_fraction": "4/8",
"sm_fraction": "3/7",
"instances": 2
},
{
"gpu": "B200 180GB",
"profile": "4g.90gb",
"memory_fraction": "4/8",
"sm_fraction": "4/7",
"instances": 1
},
{
"gpu": "B200 180GB",
"profile": "7g.180gb",
"memory_fraction": "full",
"sm_fraction": "7/7",
"instances": 1
}
],
"embodied": {
"item": "NVIDIA HGX B200 baseboard, eight GPUs",
"kg_co2e_cradle_to_gate": 2274,
"source": "https://images.nvidia.com/aem-dam/Solutions/documents/HGX-B200-PCF-Summary.pdf",
"published": "2025-07"
},
"sources": [
{
"name": "NVIDIA Multi-Instance GPU User Guide, Supported MIG Profiles",
"url": "https://docs.nvidia.com/datacenter/tesla/mig-user-guide/supported-mig-profiles.html",
"version": "last updated 2026-09-11",
"retrieved": "2026-09-26",
"used_for": "mig_profiles"
},
{
"name": "NVIDIA product specifications: A100, H100, H200, DGX B200",
"url": "https://www.nvidia.com/en-us/data-center/h100/",
"version": "as published on the retrieval date",
"retrieved": "2026-09-26",
"used_for": "tdp (A100, H100, H200), systems"
},
{
"name": "NVIDIA, Product Carbon Footprint Summary for NVIDIA HGX B200",
"url": "https://images.nvidia.com/aem-dam/Solutions/documents/HGX-B200-PCF-Summary.pdf",
"version": "July 2025",
"retrieved": "2026-09-26",
"used_for": "tdp (B200), embodied"
}
]
}