Chip comparison
AWS Trainium (Trn1) vs Google TPU v4
Side-by-side specs
Straight from each vendor's datasheet. Winner in bold: higher throughput, memory, or transistor count; lower power draw or price. Sparse (2:4) throughput roughly doubles the FP8/INT8 numbers shown.
| Field | AWS Trainium (Trn1) | Google TPU v4 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| TDP | 500 W | 192 W |
| Memory | 32 GB HBM2e | 32 GB HBM2 |
| Memory bandwidth | 820 GB/s | 1,200 GB/s |
| BF16 (dense) | 210 TFLOPS | 275 TFLOPS |
| INT8 (dense) | — | 275 TOPS |
| Form factor | Trn1 EC2 instance | OAM (per-chip in v4 pod) |
| Announced | 2020-12-01 | 2021-05-18 |
| Released | 2022-10-01 | 2022-05-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Google TPU v4
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Google TPU v4
Common questions
AWS Trainium (Trn1) vs Google TPU v4: which is faster for training?
Google TPU v4 has 1.31x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; Google TPU v4: 275 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
AWS Trainium (Trn1) vs Google TPU v4: which has more memory?
Google TPU v4 carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; Google TPU v4: 32 GB HBM2). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs Google TPU v4: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); Google TPU v4 1.43 (275 ÷ 192 W). Google TPU v4 wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Trainium (Trn1) vs Google TPU v4: which is more widely used?
AWS Trainium (Trn1): 0 robots and 0 data centers publicly running it. Google TPU v4: 0 robots and 2 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AWS Trainium (Trn1) full page · Google TPU v4 full page.