Groq
Fastest LLM inference — custom silicon for instant responses
Groq builds custom LPU (Language Processing Unit) chips that deliver the fastest LLM inference available. Llama and Mistral models run at 500+ tokens/second — 10-20x faster than GPU-based providers.
Panel Reviews
The Builder
Developer Perspective
“The speed is mind-blowing. 500+ tokens/sec makes LLM responses feel instant. For latency-sensitive applications — autocomplete, real-time chat — nothing else comes close.”
The Skeptic
Reality Check
“Speed is real but model selection is limited to open-source. No GPT or Claude. For apps that need the best model, you still need OpenAI/Anthropic. For speed-first use cases, Groq wins.”
The Futurist
Big Picture
“Custom silicon for LLMs is the right long-term bet. GPUs are general-purpose. Groq is purpose-built. As open-source models match GPT quality, Groq becomes the default inference layer.”
Community Sentiment
“500+ tokens/second is not a gimmick — I tested it and it genuinely feels instant”
“Free tier with Llama 3 at this speed is absurd, don't know how they're making money”
“Switched my dev tooling to Groq for all the latency-sensitive parts, night and day difference”
“Finally an inference provider that makes streaming feel like thinking in real time”