Chip comparison
Mobileye EyeQ6 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 | Mobileye EyeQ6 | Tesla Dojo D1 |
|---|---|---|
| Process node | TSMC 7nm | TSMC N7 |
| Transistors (B) | — | 50 |
| Die size | — | 645 mm² |
| TDP | 33 W | 400 W |
| BF16 (dense) | — | 362 TFLOPS |
| FP8 (dense) | — | 362 TFLOPS |
| INT8 (dense) | 34 TOPS | — |
| Form factor | Auto-safety SoC | Training tile (25 D1 chips per tile) |
| Announced | 2022-01-04 | 2021-08-19 |
| Released | 2024-01-01 | 2023-07-01 |
Robots running Mobileye EyeQ6
Robots running Tesla Dojo D1
No robots publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with Tesla Dojo D1
No data centers publicly running it yet.
Common questions
Mobileye EyeQ6 vs Tesla Dojo D1: which is more widely used?
Mobileye EyeQ6: 1 robot 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 · Mobileye EyeQ6 full page · Tesla Dojo D1 full page.