Chip comparison
Groq LPU (Language Processing Unit) vs NVIDIA Jetson AGX 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 Jetson AGX 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 | 273 GB/s |
| FP16 (dense) | 188 TFLOPS | — |
| FP8 (dense) | — | 2,070 TFLOPS |
| INT8 (dense) | 750 TOPS | 2,070 TOPS |
| Form factor | PCIe (GroqCard) / rack-scale GroqRack | Module (AGX Thor) |
| Announced | 2020-01-01 | 2024-03-18 |
| Released | 2021-06-01 | 2025-08-01 |
Robots running Groq LPU (Language Processing Unit)
No robots publicly running it yet.
Data centers with Groq LPU (Language Processing Unit)
No data centers publicly running it yet.
Data centers with NVIDIA Jetson AGX Thor
No data centers publicly running it yet.
Common questions
Groq LPU (Language Processing Unit) vs NVIDIA Jetson AGX Thor: which is faster for training?
NVIDIA Jetson AGX Thor has 11.01x the dense FP16/BF16 throughput of the other (Groq LPU (Language Processing Unit): 188 TFLOPS; NVIDIA Jetson AGX Thor: 2,070 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 Jetson AGX Thor: which has more memory?
NVIDIA Jetson AGX Thor carries more HBM (Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die); NVIDIA Jetson AGX 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 Jetson AGX Thor: which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Groq LPU (Language Processing Unit) 0.50 (188 ÷ 375 W); NVIDIA Jetson AGX Thor 15.92 (2,070 ÷ 130 W). NVIDIA Jetson AGX Thor wins at the die level; system-level efficiency also depends on cooling and interconnect.
Groq LPU (Language Processing Unit) vs NVIDIA Jetson AGX Thor: which is more widely used?
Groq LPU (Language Processing Unit): 0 robots and 0 data centers publicly running it. NVIDIA Jetson AGX 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 Jetson AGX Thor full page.