Groq

Groq is not primarily an AI model company — it is an inference company. The core product is Groq's custom Language Processing Unit (LPU) hardware, which achieves inference speeds for large language models that are significantly faster than what standard GPU-based infrastructure delivers. In practice, this means receiving responses from open source LLMs in a fraction of a second rather than several seconds, which has a tangible impact on the user experience for real-time applications.

For developers building voice AI, real-time chat interfaces, gaming AI, or any application where response latency is critical, Groq's speed advantage is genuinely meaningful. The difference between a 500ms response and a 5,000ms response in an interactive AI application is the difference between feeling conversational and feeling like waiting.

Groq's platform runs leading open source models including Llama and Mixtral, with pricing competitive with other inference providers and sometimes cheaper for equivalent models. The free tier is generous for evaluation, with rate limits suitable for testing and light development use.

The primary limitation is model selection. Groq runs a curated selection of open source models rather than the full breadth of models available on Hugging Face or Replicate. Organisations needing specific models not yet available on Groq must use alternative providers.

Groq is also launching Groq Cloud for enterprise customers with dedicated capacity and SLA guarantees, positioning it for production applications where both speed and reliability matter.

For non-developers, Groq offers GroqChat, a free chat interface demonstrating the speed difference with a consumer-facing experience.