Chip comparison
Groq LPU (Language Processing Unit) vs NVIDIA B200 (Blackwell)
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 B200 (Blackwell) |
|---|---|---|
| Process node | GlobalFoundries 14nm | TSMC 4NP |
| Transistors (B) | — | 208 |
| TDP | 375 W | 1000 W |
| Memory | 0.23 GB SRAM (230 MB on-die) | 192 GB HBM3e |
| Memory bandwidth | 80,000 GB/s | 8,000 GB/s |
| FP16 (dense) | 188 TFLOPS | 2,250 TFLOPS |
| BF16 (dense) | — | 2,250 TFLOPS |
| FP8 (dense) | — | 4,500 TFLOPS |
| INT8 (dense) | 750 TOPS | 4,500 TOPS |
| Form factor | PCIe (GroqCard) / rack-scale GroqRack | SXM6 |
| Announced | 2020-01-01 | 2024-03-18 |
| Released | 2021-06-01 | 2024-11-01 |
Robots running Groq LPU (Language Processing Unit)
No robots publicly running it yet.
Robots running NVIDIA B200 (Blackwell)
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 B200 (Blackwell)
Common questions
Groq LPU (Language Processing Unit) vs NVIDIA B200 (Blackwell): which is faster for training?
NVIDIA B200 (Blackwell) has 23.94x the dense FP16/BF16 throughput of the other (Groq LPU (Language Processing Unit): 188 TFLOPS; NVIDIA B200 (Blackwell): 4,500 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 B200 (Blackwell): which has more memory?
NVIDIA B200 (Blackwell) carries more HBM (Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die); NVIDIA B200 (Blackwell): 192 GB HBM3e). 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 B200 (Blackwell): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Groq LPU (Language Processing Unit) 0.50 (188 ÷ 375 W); NVIDIA B200 (Blackwell) 4.50 (4,500 ÷ 1000 W). NVIDIA B200 (Blackwell) wins at the die level; system-level efficiency also depends on cooling and interconnect.
Groq LPU (Language Processing Unit) vs NVIDIA B200 (Blackwell): which is more widely used?
Groq LPU (Language Processing Unit): 0 robots and 0 data centers publicly running it. NVIDIA B200 (Blackwell): 0 robots and 3 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 B200 (Blackwell) full page.