Chip comparison
AWS Inferentia 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 Inferentia 2 | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC N7 | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 250 W | 400 W |
| Memory | 32 GB HBM3 | — |
| Memory bandwidth | 820 GB/s | — |
| BF16 (dense) | 190 TFLOPS | 362 TFLOPS |
| FP8 (dense) | 380 TFLOPS | 362 TFLOPS |
| Form factor | Inf2 EC2 instance | Training tile (25 D1 chips per tile) |
| Announced | 2022-12-01 | 2021-08-19 |
| Released | 2023-04-01 | 2023-07-01 |
Robots running AWS Inferentia 2
No robots publicly running it yet.
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with AWS Inferentia 2
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
AWS Inferentia 2 vs Tesla Dojo D1: which is faster for training?
AWS Inferentia 2 has 1.05x the dense FP8 throughput of the other (AWS Inferentia 2: 380 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 Inferentia 2 vs Tesla Dojo D1: which is more power-efficient?
Dense FP8 TFLOPS per watt: AWS Inferentia 2 1.52 (380 ÷ 250 W); Tesla Dojo D1 0.91 (362 ÷ 400 W). AWS Inferentia 2 wins at the die level; system-level efficiency also depends on cooling and interconnect.
See also: every chip comparison · AWS Inferentia 2 full page · Tesla Dojo D1 full page.