Compare · GPUs & AI chips
Instinct MI325X vs A100 SXM 80GB
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#6 VS #17
CHECKED 06 SEPT 2026
Side by side
Verdict
Instinct MI325X ranks #6 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (1.3 PFLOPS); A100 SXM 80GB ranks #17 (312 TFLOPS).
Rank 06 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
1.3 PFLOPS
MakerAMD
Date2024
Verified04 Sept 2026
Evidence
AMD Instinct MI325X product page, per-GPU spec: "Peak Half Precision (FP16) Performance 1.3 PFLOPs" and structured-sparsity 2.61 PFLOPs. Launch date on the page: 10 October 2024. 256 GB HBM3E. Tied on this compute metric with MI300X; the MI325X difference is memory.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
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- Instinct MI325X vs Instinct MI300A
- Instinct MI325X vs TPU v6e (Trillium)
- Instinct MI325X vs Trainium2
- Instinct MI325X vs TPU v5p
Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026