Chip comparison
NVIDIA Jetson AGX Orin 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 | NVIDIA Jetson AGX Orin | Tesla Dojo D1 |
|---|---|---|
| Process node | Samsung 8N | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 60 W | 400 W |
| Memory | 64 GB LPDDR5 | — |
| Memory bandwidth | 204.8 GB/s | — |
| BF16 (dense) | — | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| INT8 (dense) | 275 TOPS | — |
| Form factor | Module (AGX Orin 64GB) | Training tile (25 D1 chips per tile) |
| Announced | 2022-03-22 | 2021-08-19 |
| Released | 2022-07-01 | 2023-07-01 |
Robots running NVIDIA Jetson AGX Orin
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
NVIDIA Jetson AGX Orin vs Tesla Dojo D1: which is more widely used?
NVIDIA Jetson AGX Orin: 9 robots and 0 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 · NVIDIA Jetson AGX Orin full page · Tesla Dojo D1 full page.