An AI inference platform powered by custom LPU (Language Processing Unit) hardware, delivering the industry's fastest token generation speeds. Generous free tier with no rate limits, supporting major open-source models like Llama, Mistral, and DeepSeek. The ultimate choice for indie developers — free, blazing fast, and simple.
Groq does not train its own models — it only hosts third-party open-source models. Models may be updated, replaced, or delisted at any time (depending on upstream). If your product depends on a specific model version, hard-test prompts and regularly monitor output quality changes.
Although free tokens are abundant, concurrent request limits are strict (typically 30 RPM). If your OPC product has multiple simultaneous users, the free tier will return 429s during traffic spikes. Paid tiers can reach 600+ RPM.
Groq's architecture prioritizes speed over capacity. Although 128K context is supported, inference speed drops significantly beyond 32K. For long document analysis or codebase reviews, consider Anthropic API or DeepSeek (direct access).
Groq currently only does inference — no model fine-tuning, embeddings generation, or advanced function calling variants. If your OPC needs to fine-tune a model or do semantic search, you need additional service integration.
Groq hosts the Llama 3 distilled version of DeepSeek R1, not DeepSeek's own 671B MoE original. The distilled version has a 5-15% reasoning quality gap. If you need the strongest open-source reasoning model, use the DeepSeek official API directly.
The enterprise edition provides private network deployment, SSO integration, audit logs, and SOC 2 compliance. Data temporarily resides in LPU memory during inference and is not stored or used for training by default.
Officially provides Python, JavaScript/TypeScript, Go, and Rust SDKs, with community-contributed support for additional languages. All SDKs offer complete type definitions and streaming support with straightforward integration.
| The Verge - In-Depth Report on Groq's LPU AI Chip | Article | - |
