Compare · GPUs & AI chips
A100 SXM 80GB vs TPU v4
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#17 VS #18
CHECKED 06 SEPT 2026
Side by side
Verdict
A100 SXM 80GB ranks #17 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (312 TFLOPS); TPU v4 ranks #18 (275 TFLOPS).
Rank 17 of 20 · leads
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.Rank 18 of 20
Dense FP16/BF16 tensor TFLOPS per chip
275 TFLOPS
MakerGoogle
Date2022
Verified04 Sept 2026
Evidence
Google Cloud TPU v4 documentation: "Peak compute per chip 275 teraflops (bf16 or int8)". 32 GiB HBM2 per chip.Try another pair
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Source Vendor product pages and official spec documents (AMD Instinct MI355X / MI350X / MI325X / MI300X / MI300A / MI250X / MI250 / MI210; NVIDIA…
Last checked 06 Sept 2026