Chip comparison
Groq LPU (Language Processing Unit) 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 | Groq LPU (Language Processing Unit) | Mobileye EyeQ6 |
|---|---|---|
| Process node | GlobalFoundries 14nm | TSMC 7nm |
| TDP | 375 W | 33 W |
| Memory | 0.23 GB SRAM (230 MB on-die) | — |
| Memory bandwidth | 80,000 GB/s | — |
| FP16 (dense) | 188 TFLOPS | — |
| INT8 (dense) | 750 TOPS | 34 TOPS |
| Form factor | PCIe (GroqCard) / rack-scale GroqRack | Auto-safety SoC |
| Announced | 2020-01-01 | 2022-01-04 |
| Released | 2021-06-01 | 2024-01-01 |
Robots running Groq LPU (Language Processing Unit)
No robots publicly running it yet.
Robots running Mobileye EyeQ6
Data centers with Groq LPU (Language Processing Unit)
No data centers publicly running it yet.
Data centers with Mobileye EyeQ6
No data centers publicly running it yet.
Common questions
Groq LPU (Language Processing Unit) vs Mobileye EyeQ6: which is more widely used?
Groq LPU (Language Processing Unit): 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 · Groq LPU (Language Processing Unit) full page · Mobileye EyeQ6 full page.