Groq on Hugging Face Inference Providers 🔥

We're thrilled to share that Groq is now a supported Inference Provider on the Hugging Face Hub! Groq joins our growing ecosystem, enhancing the breadth and capabilities of serverless inference directly on the Hub’s model pages. Inference Providers are also seamlessly integrated into our client SDKs (for both JS and Python), making it super easy to use a wide variety of models with your preferred providers.

Groq supports a wide variety of text and conversational models, including the latest open-source models such as Meta's Llama 4, Qwen's QWQ-32B, and many more.

At the heart of Groq's technology is the Language Processing Unit (LPU™), a new type of end-to-end processing unit system that provides the fastest inference for computationally intensive applications with a sequential component, such as Large Language Models (LLMs). LPUs are designed to overcome the limitations of GPUs for inference, offering significantly lower latency and higher throughput. This makes them ideal for real-time AI applications.

Groq offers fast AI inference for openly-available models. They provide an API that allows developers to easily integrate these models into their applications. It offers an on-demand, pay-as-you-go model for accessing a wide range of openly-available LLMs.

You can now use Groq's Inference API as an Inference Provider on Huggingface. We're quite excited to see what you'll build with this new provider.

See the list of supported models here.

How it works

In the website UI

1. In your user account settings, you are able to:

• Set your own API keys for the providers you’ve signed up with. If no custom key is set, your requests will be routed through HF.
• Order providers by preference. This applies to the widget and code snippets in the model pages.

1. As mentioned, there are two modes when calling Inference Providers:

1. Model pages showcase third-party inference providers (the ones that are compatible with the current model, sorted by user preference)