Summary
Inference on custom LPU hardware, built for latency — open models served at speeds general-purpose GPUs struggle to match.
Description
Groq runs open-weight language models on its own Language Processing Unit rather than on GPUs, and the whole product is organised around one property: tokens come back fast. For applications where a user is waiting — voice agents, live translation, interactive assistants — the difference between a stream that trickles and one that arrives instantly changes what you can build.
What it offers
- GroqCloud, an OpenAI-compatible API serving popular open models, so migrating an existing integration is usually a base-URL change
- Very high token throughput at low latency, which makes multi-step agent loops and real-time speech pipelines practical
- Predictable per-token pricing with a free tier for evaluation
- Speech models alongside text, for transcription and voice-first products
When it is the right call
Choose Groq when response time is the product requirement rather than a nice-to-have, and when an open-weight model is good enough for the task. Teams often pair it with a frontier model — the fast path handles the interactive turn, and the slower, stronger model handles work that can happen in the background.
Reviews
Similar App Suggestions
OpenHands
All Hands AI
OpenHands — the leading open-source coding agent platform, self-hostable or run in the cloud.
OpenRouter
One API and one bill for hundreds of language models, with automatic failover between providers.
Hugging Face
The open-source AI hub: over a million models, hundreds of thousands of datasets, and hosted demo Spaces.
Google AI Studio
Google's browser workbench for prototyping with Gemini models, then shipping the same prompt as production API code.
Cline
An open-source coding agent for VS Code and JetBrains that plans before it edits and asks before it acts.