Chip comparison
Cerebras WSE-3 (Wafer-Scale Engine 3) vs Mobileye EyeQ6
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 | Cerebras WSE-3 (Wafer-Scale Engine 3) | Mobileye EyeQ6 |
|---|---|---|
| Process node | TSMC N5 | TSMC 7nm |
| Transistors (B) | 4000 | — |
| Die size | 46225 mm² | — |
| TDP | 23000 W | 33 W |
| Memory | 44 GB on-die SRAM | — |
| Memory bandwidth | 21,000,000 GB/s | — |
| FP16 (dense) | 62,500 TFLOPS | — |
| INT8 (dense) | — | 34 TOPS |
| Form factor | wafer-scale (single-wafer system) | Auto-safety SoC |
| Announced | 2024-03-13 | 2022-01-04 |
| Released | 2024-04-01 | 2024-01-01 |
Robots running Cerebras WSE-3 (Wafer-Scale Engine 3)
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with Cerebras WSE-3 (Wafer-Scale Engine 3)
No data centers publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
Cerebras WSE-3 (Wafer-Scale Engine 3) vs Mobileye EyeQ6: which is more widely used?
Cerebras WSE-3 (Wafer-Scale Engine 3): 0 robots and 0 data centers publicly running it. Mobileye EyeQ6: 1 robot and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Cerebras WSE-3 (Wafer-Scale Engine 3) full page · Mobileye EyeQ6 full page.