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Compare · GPUs & AI chips

H200 SXM vs Instinct MI250X

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #8 VS #15 CHECKED 06 SEPT 2026
Side by side
Verdict

H200 SXM ranks #8 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (0.990 PFLOPS); Instinct MI250X ranks #15 (383 TFLOPS).

Rank 08 of 20 · leads
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.
Rank 15 of 20
Dense FP16/BF16 tensor TFLOPS per chip
383 TFLOPS
MakerAMD
Date2021
Verified04 Sept 2026
Evidence
AMD Instinct MI250X product page: "Peak Half Precision (FP16) Performance 383 TFLOPs" and "Peak bfloat16 383 TFLOPs". Launch date on the page: 8 November 2021. 128 GB HBM2e. No structured-sparsity counterpart is published for MI200-series.
Try another pair
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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