Groq is an AI inference company that builds custom hardware called the Language Processing Unit (LPU) to deliver the fastest inference speeds available for large language models. Unlike GPU-based inference that suffers from memory bandwidth bottlenecks, Groq's purpose-built silicon architecture eliminates these constraints to achieve token generation speeds that are orders of magnitude faster than conventional solutions. GroqCloud provides developers with API access to popular open-source models running on LPU hardware, making ultra-fast AI inference accessible without managing infrastructure.
The LPU architecture uses hundreds of megabytes of on-chip SRAM as primary weight storage instead of relying on external memory, feeding compute units at full speed with minimal latency. Static scheduling and deterministic execution via Groq's purpose-built compiler ensure predictable performance at any scale, while TruePoint numerics reduce precision only where it does not affect output quality. This design delivers current open-weight models with high token throughput and predictable streaming latency. Public hardware-performance claims should still be validated against the exact model, context length, and workload a team plans to run.
Groq serves developers and companies building real-time AI applications where latency directly impacts user experience, including conversational AI, live coding assistants, and interactive search products. Perplexity and Mistral Le Chat are notable production users leveraging Groq's speed for instant AI responses. The GroqCloud API is OpenAI-compatible, making migration straightforward for developers already using standard LLM APIs. Groq competes with NVIDIA GPU-based inference providers and other dedicated inference platforms like Cerebras and Fireworks AI, positioning itself as the fastest option for teams that prioritize response speed above all else.
