Compare · GPUs & AI chips
Trainium2 vs TPU v4
RANKED BY DENSE FP16/BF16 TENSOR TFLOPS PER CHIP
#12 VS #18
CHECKED 06 SEPT 2026
Side by side
Verdict
Trainium2 ranks #12 of 20 on Dense FP16/BF16 tensor TFLOPS per chip (667 TFLOPS); TPU v4 ranks #18 (275 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 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
More Trainium2 matchups
- Trainium2 vs Instinct MI355X
- Trainium2 vs Instinct MI350X
- Trainium2 vs Blackwell B200 SXM
- Trainium2 vs Blackwell Ultra B300 SXM
- Trainium2 vs Gaudi 3
- Trainium2 vs Instinct MI325X
- Trainium2 vs Instinct MI300X
- Trainium2 vs H200 SXM
- Trainium2 vs H100 SXM
- Trainium2 vs Instinct MI300A
- 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