Chip comparison
Mobileye EyeQ6 vs NVIDIA GB300 (Blackwell Ultra)
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 GB300 (Blackwell Ultra) |
|---|---|---|
| Process node | TSMC 7nm | TSMC 4NP |
| TDP | 33 W | 1400 W |
| Memory | — | 288 GB HBM3e |
| Memory bandwidth | — | 8,000 GB/s |
| FP8 (dense) | — | 5,000 TFLOPS |
| INT8 (dense) | 34 TOPS | — |
| Form factor | Auto-safety SoC | Superchip (Blackwell Ultra + Grace) |
| Announced | 2022-01-04 | 2025-03-18 |
| Released | 2024-01-01 | 2025-11-01 |
Robots running Mobileye EyeQ6
Robots running NVIDIA GB300 (Blackwell Ultra)
No robots publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with NVIDIA GB300 (Blackwell Ultra)
Common questions
Mobileye EyeQ6 vs NVIDIA GB300 (Blackwell Ultra): which is more widely used?
Mobileye EyeQ6: 1 robot and 0 data centers publicly running it. NVIDIA GB300 (Blackwell Ultra): 0 robots and 1 data center. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Mobileye EyeQ6 full page · NVIDIA GB300 (Blackwell Ultra) full page.