Chip comparison
Mobileye EyeQ6 vs NVIDIA B200 (Blackwell)
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 B200 (Blackwell) |
|---|---|---|
| Process node | TSMC 7nm | TSMC 4NP |
| Transistors (B) | — | 208 |
| TDP | 33 W | 1000 W |
| Memory | — | 192 GB HBM3e |
| Memory bandwidth | — | 8,000 GB/s |
| FP16 (dense) | — | 2,250 TFLOPS |
| BF16 (dense) | — | 2,250 TFLOPS |
| FP8 (dense) | — | 4,500 TFLOPS |
| INT8 (dense) | 34 TOPS | 4,500 TOPS |
| Form factor | Auto-safety SoC | SXM6 |
| Announced | 2022-01-04 | 2024-03-18 |
| Released | 2024-01-01 | 2024-11-01 |
Robots running Mobileye EyeQ6
Robots running NVIDIA B200 (Blackwell)
No robots publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Data centers with NVIDIA B200 (Blackwell)
Common questions
Mobileye EyeQ6 vs NVIDIA B200 (Blackwell): which is more widely used?
Mobileye EyeQ6: 1 robot and 0 data centers publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page.