Compare · GPUs & AI chips
H200 SXM vs H100 SXM
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#8 VS #9
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); H100 SXM ranks #9 (0.990 PFLOPS).
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 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
More H200 SXM matchups
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- H200 SXM vs Instinct MI300A
- H200 SXM vs TPU v6e (Trillium)
- H200 SXM vs Trainium2
- H200 SXM vs TPU v5p
- H200 SXM vs Gaudi 2
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026