Chip comparison
Mobileye EyeQ6 vs NVIDIA DRIVE Thor
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 | NVIDIA DRIVE Thor |
|---|---|---|
| Process node | TSMC 7nm | TSMC 4NP |
| TDP | 33 W | 130 W |
| Memory | — | 128 GB LPDDR5X |
| FP8 (dense) | — | 2,000 TFLOPS |
| INT8 (dense) | 34 TOPS | 2,000 TOPS |
| Form factor | Auto-safety SoC | Auto-board |
| Announced | 2022-01-04 | 2022-09-20 |
| Released | 2024-01-01 | 2025-06-01 |
Robots running Mobileye EyeQ6
Robots running NVIDIA DRIVE Thor
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with NVIDIA DRIVE Thor
No data centers publicly running it yet.
Common questions
Mobileye EyeQ6 vs NVIDIA DRIVE Thor: which is more widely used?
Mobileye EyeQ6: 1 robot and 0 data centers publicly running it. NVIDIA DRIVE Thor: 11 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 · NVIDIA DRIVE Thor full page.