Compare · GPUs & AI chips

Blackwell B200 SXM vs H200 SXM

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #3 VS #8 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); H200 SXM ranks #8 (0.990 PFLOPS).

Rank 03 of 20 · leads

Blackwell B200 SXM

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 08 of 20

H200 SXM

Dense FP16/BF16 tensor TFLOPS per chip

0.990 PFLOPS

MakerNVIDIA

Date2024

Verified04 Sept 2026

Evidence

NVIDIA H200 product page, H200 SXM column: FP16/BF16 Tensor Core 1,979 TFLOPS. Footnote 2: "With sparsity." Dense is 1,979 / 2 = 989.5 TFLOPS (0.990 PFLOPS). 141 GB HBM3e. Same Hopper Tensor Core throughput as H100 SXM; H200's difference is memory.

Try another pair

More Blackwell B200 SXM matchups

Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA… Last checked 06 Sept 2026

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