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Parts/Accelerators/NVIDIA B200 SXM

Accelerators · Blackwell · 2024

NVIDIA B200 SXM

192 GB HBM3E SXM module. The unit most 2025-era commercial clusters are counted in, and almost none of them submit HPL results.

Why this part

Two reticle-limited dies joined by a 10 TB/s link and presented to software as one device. A single die can no longer be made larger, so the only remaining direction is to package more of them together and hide the seam, which is the same conclusion AMD reached with chiplets and Cerebras reached by abandoning the reticle limit entirely. At 1000W it is a liquid-cooling requirement rather than a preference.

Systems using this part

Systems
31
Rmax underneath
478.7 PFlop/s
Units recorded
349,664
24 of 31 edges disclose a quantity
System Role Country Units System Rmax Supplied by Rank
Firebird Armenian AI Factory (DC-1)
2026-08-08
Accelerator Armenia 6,144 - NVIDIA -
NIPA(NHN Cloud)-CL-1
2026-04
Accelerator South Korea - 137.4 PFlop/s NVIDIA #20 →
NIPA(NHN Cloud)-CL-2
2026-04
Accelerator South Korea - 68.42 PFlop/s NVIDIA #40 →
Industrial AI Cloud
2026-02-04
Accelerator Germany 10,000 - NVIDIA -
Viettel DGX B200 System
2026-02
Accelerator Vietnam - - NVIDIA -
Jairu
2026-02
Accelerator Brazil 96 - NVIDIA -
NIPA (Kakao)
2026-01
Accelerator South Korea - 69.10 PFlop/s NVIDIA #39 →
Naver B200 4K Cluster
2026-01
Accelerator South Korea 4,000 - NVIDIA -
SEIRAN
2025-10
Accelerator Japan 96 3.32 PFlop/s NVIDIA #374 →
Nebius Modiin Cluster
2025-10
Accelerator Israel 4,000 - NVIDIA -
OpenCanvas GPUaaS SP1
2025-10
Accelerator Japan - 17.53 PFlop/s NVIDIA #105 →
SDS-AI
2025-09
Accelerator Israel 2,032 - NVIDIA -
The F.I.N
2025-09
Accelerator Poland - 7.57 PFlop/s NVIDIA #211 →
Haein Cluster
2025-08-05
Accelerator South Korea 1,000 - NVIDIA -
CHIE-4
2025-07
Accelerator Japan - 135.4 PFlop/s NVIDIA #21 →
Mayo Clinic DGX SuperPOD
2025-07
Accelerator USA 128 - NVIDIA -
Betty
2025-05
Accelerator USA 248 8.49 PFlop/s NVIDIA #189 →
Minerva
2024
Accelerator USA 48 7.91 PFlop/s NVIDIA #147 →
Microsoft Goodyear AI Datacenter
2023-04
Accelerator USA 58,100 - NVIDIA -
Microsoft Project Osmium
2021-01
Accelerator USA 45,500 - NVIDIA -
HiPerGator AI
2021
Accelerator USA 504 17.49 PFlop/s NVIDIA #106 →
Solstice
Accelerator USA 100,000 - NVIDIA -
Equinox
Accelerator USA 10,000 - NVIDIA -
Project Ceiba
Accelerator USA 20,736 - NVIDIA -
E2E Chennai B200 Cluster
Accelerator India 1,024 - NVIDIA -
Meta Rosemount (Minnesota)
Accelerator USA 85,400 - NVIDIA -
AICR
Accelerator USA 248 - NVIDIA -
Bouchet
Accelerator USA 56 - NVIDIA -
Hopper (Yale)
Accelerator USA 48 - NVIDIA -
DAIS
Accelerator Germany 128 6.03 PFlop/s NVIDIA #247 →
Skipjack (JHU)
Accelerator USA 128 - NVIDIA -

“Units recorded” sums only the edges where a public source states a quantity. It is a floor, not a total, and should never be read as installed base.

Further reading