Chip comparison
AWS Trainium (Trn1) vs Tesla Dojo D1
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) | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 500 W | 400 W |
| Memory | 32 GB HBM2e | — |
| Memory bandwidth | 820 GB/s | — |
| BF16 (dense) | 210 TFLOPS | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| Form factor | Trn1 EC2 instance | Training tile (25 D1 chips per tile) |
| Announced | 2020-12-01 | 2021-08-19 |
| Released | 2022-10-01 | 2023-07-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs Tesla Dojo D1: which is faster for training?
Tesla Dojo D1 has 1.72x the dense FP16/BF16 throughput of the other (AWS Trainium (Trn1): 210 TFLOPS; Tesla Dojo D1: 362 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 Tesla Dojo D1: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: AWS Trainium (Trn1) 0.42 (210 ÷ 500 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). Tesla Dojo D1 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Trainium (Trn1) full page · Tesla Dojo D1 full page.