Compare · GPUs & AI chips
Trainium2 vs A100 SXM 80GB
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#12 VS #17
CHECKED 06 SEPT 2026
Side by side
Verdict
Trainium2 ranks #12 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (667 TFLOPS); A100 SXM 80GB ranks #17 (312 TFLOPS).
Rank 12 of 20 · leads
Dense FP16/BF16 tensor TFLOPS per chip
667 TFLOPS
MakerAWS
Date2024
Verified04 Sept 2026
Evidence
AWS Neuron Trainium2 Architecture page, compute table: each Trainium2 chip delivers "667 BF16/FP16/TF32 TFLOPS" dense; sparse counterpart is 2,563 TFLOPS and was not used. 96 GiB device memory. Trn2 instances are generally available (AWS announcement 3 Dec 2024).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
More Trainium2 matchups
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- Trainium2 vs TPU v6e (Trillium)
- Trainium2 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