Chip comparison
AWS Trainium 2 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 2 | Mobileye EyeQ6 |
|---|---|---|
| Process node | TSMC N5 | TSMC 7nm |
| TDP | 500 W | 33 W |
| Memory | 96 GB HBM3 | — |
| Memory bandwidth | 2,900 GB/s | — |
| BF16 (dense) | 667 TFLOPS | — |
| FP8 (dense) | 1,300 TFLOPS | — |
| INT8 (dense) | 1,300 TOPS | 34 TOPS |
| Form factor | AWS Neuron 2 (Trn2 UltraServer with 64 chips per unit) | Auto-safety SoC |
| Announced | 2024-12-03 | 2022-01-04 |
| Released | 2025-01-01 | 2024-01-01 |
Robots running AWS Trainium 2
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with AWS Trainium 2
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
AWS Trainium 2 vs Mobileye EyeQ6: which is more widely used?
AWS Trainium 2: 0 robots and 3 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 2 full page · Mobileye EyeQ6 full page.