Chip comparison
AWS Trainium (Trn1) vs Google TPU v5p
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 v5p |
|---|---|---|
| Process node | TSMC N7 | — |
| TDP | 500 W | 300 W |
| Memory | 32 GB HBM2e | 95 GB HBM2e |
| Memory bandwidth | 820 GB/s | 2,765 GB/s |
| BF16 (dense) | 210 TFLOPS | 459 TFLOPS |
| INT8 (dense) | — | 918 TOPS |
| Form factor | Trn1 EC2 instance | OAM (per-chip in v5p pod) |
| Announced | 2020-12-01 | 2023-12-06 |
| Released | 2022-10-01 | 2024-01-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Google TPU v5p
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Google TPU v5p
Common questions
AWS Trainium (Trn1) vs Google TPU v5p: which is faster for training?
Google TPU v5p has 2.19x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; Google TPU v5p: 459 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 v5p: which has more memory?
Google TPU v5p carries more HBM (AWS Trainium (Trn1): 32 GB HBM2e; Google TPU v5p: 95 GB HBM2e). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
AWS Trainium (Trn1) vs Google TPU v5p: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); Google TPU v5p 1.53 (459 ÷ 300 W). Google TPU v5p wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Trainium (Trn1) vs Google TPU v5p: which is more widely used?
AWS Trainium (Trn1): 0 robots and 0 data centers publicly running it. Google TPU v5p: 0 robots and 1 data center. 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 v5p full page.