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LLMFreemium
GROQ
LLM inference so fast it feels instant — 500+ tokens per second
ABOUT
LLM inference is slow — GPT-4 takes 2-10 seconds for a substantive response, which breaks real-time applications like voice assistants, live coding tools, and interactive demos. Groq's custom LPU hardware generates 500+ tokens/second (10-20x faster than GPU inference), making it possible to build genuinely real-time AI experiences. API is OpenAI-compatible — change one line of code to switch from OpenAI to Groq.
INSTALL
npm install groq-sdkINTEGRATION GUIDE
1. Power a real-time voice AI assistant where response latency must be under 500ms
2. Build an interactive coding copilot where completions appear as fast as typing
3. Run high-throughput batch inference jobs where speed directly reduces cost
4. Prototype with open-source models (Llama 3, Mixtral) at production speed on the free tier
5. Build streaming chat applications where users see output word-by-word at reading speed
TAGS
apiinferencellamamixtralfastlow-latencyopenai-compatible