Chip comparison
Google TPU v4 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 | Google TPU v4 | Mobileye EyeQ6 |
|---|---|---|
| Process node | TSMC N7 | TSMC 7nm |
| TDP | 192 W | 33 W |
| Memory | 32 GB HBM2 | — |
| Memory bandwidth | 1,200 GB/s | — |
| BF16 (dense) | 275 TFLOPS | — |
| INT8 (dense) | 275 TOPS | 34 TOPS |
| Form factor | OAM (per-chip in v4 pod) | Auto-safety SoC |
| Announced | 2021-05-18 | 2022-01-04 |
| Released | 2022-05-01 | 2024-01-01 |
Robots running Google TPU v4
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with Google TPU v4
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
Google TPU v4 vs Mobileye EyeQ6: which is more widely used?
Google TPU v4: 0 robots and 2 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 · Google TPU v4 full page · Mobileye EyeQ6 full page.