Introducing Three New Serverless Inference Providers: Hyperbolic, Nebius AI Studio, and Novita 🔥

We’re thrilled to announce the addition of three more outstanding serverless Inference Providers to the Hugging Face Hub: Hyperbolic, Nebius AI Studio, and Novita. These providers join our growing ecosystem, enhancing the breadth and capabilities of serverless inference directly on the Hub’s model pages. They’re 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.

These partners join the ranks of our existing providers, including Together AI, Sambanova, Replicate, fal and Fireworks.ai.

The new partners enable a swath of new models: DeepSeek-R1, Flux.1, and many others. Find all the models supported by them below:

• Nebius AI Studio
• Novita
• Hyperbolic

We're quite excited to see what you'll build with these new providers!

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 APIs:

• Custom key (calls go directly to the inference provider, using your own API key of the corresponding inference provider)
• Routed by HF (in that case, you don't need a token from the provider, and the charges are applied directly to your HF account rather than the provider's account)

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

From the client SDKs

from Python, using huggingface_hub

The following example shows how to use DeepSeek-R1 using Hyperbolic as the inference provider. You can use a Hugging Face token for automatic routing through Hugging Face, or your own Hyperbolic API key if you have one.

Install huggingface_hub from source (see instructions). Official support will be released soon in version v0.29.0.