Real-Time Inference (Groq LPUs)
AI learns to think faster than humans can read.
Explore this event on the interactive timeline →For AI to truly act as an agent or drive a robot, it cannot wait seconds for a cloud GPU to generate text. Groq pioneered the Language Processing Unit (LPU), an architecture designed strictly for deterministic, ultra-fast inference rather than training.
Key Numbers
- Hardware Architecture
- SRAM-based LPU
- Generation Speed
- 750+ Tokens / Second
Verified Facts
- By utilizing massive amounts of SRAM directly on the chip (rather than relying on slow, external HBM memory like Nvidia GPUs), Groq bypassed the memory bottleneck that plagues standard LLM generation.
- In early 2026, benchmark tests proved Groq LPUs could run models like Llama 3 at staggering speeds of 750 tokens per second. A standard human reads at about 5 tokens per second.
- This eliminated "Time to First Token" (TTFT) latency, enabling seamless, real-time voice conversations and instantaneous robotic reactions.