Compare · GPUs & AI chips
H100 SXM vs Instinct MI300A
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#9 VS #10
CHECKED 06 SEPT 2026
Side by side
Verdict
H100 SXM ranks #9 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (0.990 PFLOPS); Instinct MI300A ranks #10 (980.6 TFLOPS).
Rank 09 of 20 · leads
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.Rank 10 of 20
Dense FP16/BF16 tensor TFLOPS per chip
980.6 TFLOPS
MakerAMD
Date2023
Verified04 Sept 2026
Evidence
AMD Instinct MI300A product page: "Peak Half Precision (FP16) Performance 980.6 TFLOPs". Structured-sparsity counterpart on the same page is 1.96 PFLOPs and was not used. Launch date on the page: 6 December 2023. 128 GB unified HBM3. Dense FP16 sits just below H100/H200 SXM (989.5 TFLOPS).Try another pair
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- H100 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