Chip comparison
Mobileye EyeQ6 vs NVIDIA Jetson AGX 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 Jetson AGX Thor |
|---|---|---|
| Process node | TSMC 7nm | TSMC 4NP |
| TDP | 33 W | 130 W |
| Memory | — | 128 GB LPDDR5X |
| Memory bandwidth | — | 273 GB/s |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 34 TOPS | 2,070 TOPS |
| Form factor | Auto-safety SoC | Module (AGX Thor) |
| Announced | 2022-01-04 | 2024-03-18 |
| Released | 2024-01-01 | 2025-08-01 |
Robots running Mobileye EyeQ6
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
Mobileye EyeQ6 vs NVIDIA Jetson AGX Thor: which is more widely used?
Mobileye EyeQ6: 1 robot and 0 data centers publicly running it. NVIDIA Jetson AGX 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 Jetson AGX Thor full page.