Chip comparison
Groq LPU (Language Processing Unit) vs NVIDIA DRIVE Thor
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) | NVIDIA DRIVE Thor |
|---|---|---|
| Process node | GlobalFoundries 14nm | TSMC 4NP |
| TDP | 375 W | 130 W |
| Memory | 0.23 GB SRAM (230 MB on-die) | 128 GB LPDDR5X |
| Memory bandwidth | 80,000 GB/s | — |
| FP16 (dense) | 188 TFLOPS | — |
| FP8 (dense) | — | 2,000 TFLOPS |
| INT8 (dense) | 750 TOPS | 2,000 TOPS |
| Form factor | PCIe (GroqCard) / rack-scale GroqRack | Auto-board |
| Announced | 2020-01-01 | 2022-09-20 |
| Released | 2021-06-01 | 2025-06-01 |
Robots running Groq LPU (Language Processing Unit)
No robots publicly running it yet.
Robots running NVIDIA DRIVE Thor
Data centers with Groq LPU (Language Processing Unit)
No data centers publicly running it yet.
Data centers with NVIDIA DRIVE Thor
No data centers publicly running it yet.
Common questions
Groq LPU (Language Processing Unit) vs NVIDIA DRIVE Thor: which is faster for training?
NVIDIA DRIVE Thor has 10.64x the dense FP16/BF16 throughput of the other (Groq LPU (Language Processing Unit): 188 TFLOPS; NVIDIA DRIVE Thor: 2,000 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Groq LPU (Language Processing Unit) vs NVIDIA DRIVE Thor: which has more memory?
NVIDIA DRIVE Thor carries more HBM (Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die); NVIDIA DRIVE Thor: 128 GB LPDDR5X). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Groq LPU (Language Processing Unit) vs NVIDIA DRIVE Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Groq LPU (Language Processing Unit) 0.50 (188 ÷ 375 W); NVIDIA DRIVE Thor 15.38 (2,000 ÷ 130 W). NVIDIA DRIVE Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
Groq LPU (Language Processing Unit) vs NVIDIA DRIVE Thor: which is more widely used?
Groq LPU (Language Processing Unit): 0 robots and 0 data centers publicly running it. NVIDIA DRIVE Thor: 11 robots 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 · NVIDIA DRIVE Thor full page.