Compare · GPUs & AI chips
Blackwell B200 SXM vs Gaudi 2
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#3 VS #14
CHECKED 06 SEPT 2026
Side by side
Verdict
Blackwell B200 SXM ranks #3 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (2.25 PFLOPS); Gaudi 2 ranks #14 (432 TFLOPS).
Rank 03 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
2.25 PFLOPS
MakerNVIDIA
Date2025
Verified04 Sept 2026
Evidence
NVIDIA HGX Platform page, HGX B200 row ("8x NVIDIA Blackwell SXM", footnote 4: "HGX B300 and HGX B200 shipping now"). FP16/BF16 Tensor Core is listed as 36 PFLOPS for the 8-GPU board. Footnote 2: dense is half the sparse spec. Dense board total is therefore 18 PFLOPS; per chip 18 / 8 = 2.25 PFLOPS. Total memory 1.4 TB => 180 GB HBM3E per SXM.Rank 14 of 20
Dense FP16/BF16 tensor TFLOPS per chip
432 TFLOPS
MakerIntel
Date2022
Verified04 Sept 2026
Evidence
Intel Gaudi 3 white paper (document 817486) comparison table lists Gaudi 2 "BF16 MME TFLOPS 432" and "FP8 MME TFLOPS 865". This row uses the BF16 MME cell. 96 GB HBM2e. The same comparison table is the official Intel source already used for the Gaudi 3 row.Try another pair
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Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026