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Compare · GPUs & AI chips

Instinct MI350X vs H100 SXM

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #2 VS #9 CHECKED 06 SEPT 2026
Side by side
Verdict

Instinct MI350X ranks #2 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (2.3 PFLOPS); H100 SXM ranks #9 (0.990 PFLOPS).

Rank 02 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
2.3 PFLOPS
MakerAMD
Date2025
Verified04 Sept 2026
Evidence
AMD Instinct MI350X product page, per-GPU spec: "Peak Half Precision Matrix (FP16) Performance 2.3 PFLOPs" / "Peak bfloat16 (BF16) Matrix Performance 2.3 PFLOPs". Structured-sparsity counterparts are 4.6 PFLOPs and were not used. Launch date on the page: 12 June 2025. 288 GB HBM3E.
Rank 09 of 20
Dense FP16/BF16 tensor TFLOPS per chip
0.990 PFLOPS
MakerNVIDIA
Date2022
Verified04 Sept 2026
Evidence
NVIDIA H100 product page, H100 SXM column: FP16/BF16 Tensor Core 1,979 teraFLOPS. H100 datasheet footnote 2: "With sparsity." Dense is 1,979 / 2 = 989.5 TFLOPS (0.990 PFLOPS). 80 GB HBM3. Tied with H200 SXM on this compute metric.
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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