Compare · GPUs & AI chips
Instinct MI300X vs H200 SXM
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#7 VS #8
CHECKED 06 SEPT 2026
Side by side
Verdict
Instinct MI300X ranks #7 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (1.3 PFLOPS); H200 SXM ranks #8 (0.990 PFLOPS).
Rank 07 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
1.3 PFLOPS
MakerAMD
Date2023
Verified04 Sept 2026
Evidence
AMD Instinct MI300X product page, per-GPU spec: "Peak Half Precision (FP16) Performance 1.3 PFLOPs" / Peak bfloat16 1.3 PFLOPs; structured-sparsity counterparts 2.61 PFLOPs. Launch date on the page: 6 December 2023. 192 GB HBM3. Same dense FP16 figure as MI325X.Rank 08 of 20
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
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- Instinct MI300X vs TPU v6e (Trillium)
- Instinct MI300X vs Trainium2
- Instinct MI300X vs TPU v5p
- Instinct MI300X 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