Chip comparison
Google TPU v5p vs Groq LPU (Language Processing Unit)
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 | Google TPU v5p | Groq LPU (Language Processing Unit) |
|---|---|---|
| Process node | — | GlobalFoundries 14nm |
| TDP | 300 W | 375 W |
| Memory | 95 GB HBM2e | 0.23 GB SRAM (230 MB on-die) |
| Memory bandwidth | 2,765 GB/s | 80,000 GB/s |
| FP16 (dense) | — | 188 TFLOPS |
| BF16 (dense) | 459 TFLOPS | — |
| INT8 (dense) | 918 TOPS | 750 TOPS |
| Form factor | OAM (per-chip in v5p pod) | PCIe (GroqCard) / rack-scale GroqRack |
| Announced | 2023-12-06 | 2020-01-01 |
| Released | 2024-01-01 | 2021-06-01 |
Robots running Google TPU v5p
No robots publicly running it yet.
Robots running Groq LPU (Language Processing Unit)
No robots publicly running it yet.
Data centers with Google TPU v5p
Data centers with Groq LPU (Language Processing Unit)
No data centers publicly running it yet.
Common questions
Google TPU v5p vs Groq LPU (Language Processing Unit): which is faster for training?
Google TPU v5p has 2.44x the dense FP16/BF16 throughput of the other (Google TPU v5p: 459 TFLOPS; Groq LPU (Language Processing Unit): 188 TFLOPS). Real-world training speed also depends on memory bandwidth, interconnect, and software stack: see the spec diff for those inputs.
Google TPU v5p vs Groq LPU (Language Processing Unit): which has more memory?
Google TPU v5p carries more HBM (Google TPU v5p: 95 GB HBM2e; Groq LPU (Language Processing Unit): 0.23 GB SRAM (230 MB on-die)). Memory capacity sets the largest model that fits on one chip without partitioning; memory bandwidth sets inference throughput.
Google TPU v5p vs Groq LPU (Language Processing Unit): which is more power-efficient?
Dense FP16/BF16 TFLOPS per watt: Google TPU v5p 1.53 (459 ÷ 300 W); Groq LPU (Language Processing Unit) 0.50 (188 ÷ 375 W). Google TPU v5p wins at the die level; system-level efficiency also depends on cooling and interconnect.
Google TPU v5p vs Groq LPU (Language Processing Unit): which is more widely used?
Google TPU v5p: 0 robots and 1 data center publicly running it. Groq LPU (Language Processing Unit): 0 robots and 0 data centers. Empty here means no operator has said publicly, not zero adoption in the market.
See also: every chip comparison · Google TPU v5p full page · Groq LPU (Language Processing Unit) full page.