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Compare · GPUs & AI chips

Instinct MI300X vs A100 SXM 80GB

RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP #7 VS #17 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); A100 SXM 80GB ranks #17 (312 TFLOPS).

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 17 of 20
Dense FP16/BF16 tensor TFLOPS per chip
312 TFLOPS
MakerNVIDIA
Date2020
Verified04 Sept 2026
Evidence
NVIDIA A100 product page, A100 80GB SXM column: FP16 Tensor Core 312 TFLOPS | 624 TFLOPS* and BFLOAT16 Tensor Core 312 TFLOPS | 624 TFLOPS*. Asterisk is "With sparsity". Dense figure used here is 312 TFLOPS. 80 GB HBM2e.
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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