Chip comparison
AWS Trainium (Trn1) 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 | AWS Trainium (Trn1) | Mobileye EyeQ6 |
|---|---|---|
| Process node | TSMC N7 | TSMC 7nm |
| TDP | 500 W | 33 W |
| Memory | 32 GB HBM2e | — |
| Memory bandwidth | 820 GB/s | — |
| BF16 (dense) | 210 TFLOPS | — |
| INT8 (dense) | — | 34 TOPS |
| Form factor | Trn1 EC2 instance | Auto-safety SoC |
| Announced | 2020-12-01 | 2022-01-04 |
| Released | 2022-10-01 | 2024-01-01 |
Robots running AWS Trainium (Trn1)
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with AWS Trainium (Trn1)
No data centers publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
AWS Trainium (Trn1) vs Mobileye EyeQ6: which is more widely used?
AWS Trainium (Trn1): 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 · AWS Trainium (Trn1) full page · Mobileye EyeQ6 full page.