Chip comparison
AWS Trainium 2 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 2 | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N5 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 500 W | 400 W |
| Memory | 96 GB HBM3 | — |
| Memory bandwidth | 2,900 GB/s | — |
| BF16 (dense) | 667 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 1,300 TFLOPS | 362 TFLOPS |
| INT8 (dense) | 1,300 TOPS | — |
| Form factor | AWS Neuron 2 (Trn2 UltraServer with 64 chips per unit) | Training tile (25 D1 chips per tile) |
| Announced | 2024-12-03 | 2021-08-19 |
| Released | 2025-01-01 | 2023-07-01 |
Robots running AWS Trainium 2
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with AWS Trainium 2
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
AWS Trainium 2 vs Tesla Dojo D1: which is faster for training?
AWS Trainium 2 has 3.59x the dense FP8 throughput of the other (AWS Trainium 2: 1,300 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 2 vs Tesla Dojo D1: which is more power-efficient?
Dense FP8 TFLOPS per watt: AWS Trainium 2 2.60 (1,300 ÷ 500 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). AWS Trainium 2 wins at the die level; system-level efficiency also depends on cooling and interconnect.
AWS Trainium 2 vs Tesla Dojo D1: which is more widely used?
AWS Trainium 2: 0 robots and 3 data centers publicly running it. Tesla Dojo D1: 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · AWS Trainium 2 full page · Tesla Dojo D1 full page.