Chip comparison
Mobileye EyeQ6 vs NVIDIA Jetson AGX Orin
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 Orin |
|---|---|---|
| Process node | TSMC 7nm | Samsung 8N |
| TDP | 33 W | 60 W |
| Memory | — | 64 GB LPDDR5 |
| Memory bandwidth | — | 204.8 GB/s |
| INT8 (dense) | 34 TOPS | 275 TOPS |
| Form factor | Auto-safety SoC | Module (AGX Orin 64GB) |
| Announced | 2022-01-04 | 2022-03-22 |
| Released | 2024-01-01 | 2022-07-01 |
Robots running Mobileye EyeQ6
Robots running NVIDIA Jetson AGX Orin
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Orin
No data centers publicly running it yet.
Common questions
Mobileye EyeQ6 vs NVIDIA Jetson AGX Orin: which is more widely used?
Mobileye EyeQ6: 1 robot and 0 data centers publicly running it. NVIDIA Jetson AGX Orin: 9 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 Orin full page.