Chip comparison
Google TPU v6 (Trillium) 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 v6 (Trillium) | Mobileye EyeQ6 |
|---|---|---|
| Process node | — | TSMC 7nm |
| TDP | 200 W | 33 W |
| Memory | 32 GB HBM3 | — |
| Memory bandwidth | 1,600 GB/s | — |
| BF16 (dense) | 918 TFLOPS | — |
| FP8 (dense) | 1,836 TFLOPS | — |
| INT8 (dense) | 1,836 TOPS | 34 TOPS |
| Form factor | OAM (Trillium pod, up to 256 chips) | Auto-safety SoC |
| Announced | 2024-05-14 | 2022-01-04 |
| Released | 2024-12-01 | 2024-01-01 |
Robots running Google TPU v6 (Trillium)
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with Google TPU v6 (Trillium)
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
Google TPU v6 (Trillium) vs Mobileye EyeQ6: which is more widely used?
Google TPU v6 (Trillium): 0 robots and 1 data center 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 v6 (Trillium) full page · Mobileye EyeQ6 full page.