OVHcloud on Hugging Face Inference Providers 🔥

We're thrilled to share that OVHcloud is now a supported Inference Provider on the Hugging Face Hub! OVHcloud 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.

This launch makes it easier than ever to access popular open-weight models like gpt-oss, Qwen3, DeepSeek R1, and Llama — right from Hugging Face.

OVHcloud AI Endpoints are a fully managed, serverless service that provides access to frontier AI models from leading research labs via simple API calls. The service offers competitive pay-per-token pricing starting at €0.04 per million tokens.

The service runs on secure infrastructure located in European data centers, ensuring data sovereignty and low latency for European users. The platform supports advanced features including structured outputs, function calling, and multimodal capabilities for both text and image processing.

Built for production use, OVHcloud's inference infrastructure delivers sub-200ms response times for first tokens, making it ideal for interactive applications and agentic workflows. The service supports both text generation and embedding models.

In your user account settings, you are able to set your own API keys or order providers by preference. There are two modes when calling Inference Providers: Custom key (direct calls) or Routed by HF (using HF account credits).

Example usage with Python:

import os
from huggingface_hub import InferenceClient
client = InferenceClient(
api_key=os.environ["HF_TOKEN"],
)
completion = client.chat.completions.create(
model="openai/gpt-oss-120b:ovhcloud",
messages=[
{
"role": "user",
"content": "What is the capital of France?"
}
],
)
print(completion.choices[0].message)

Important Note: PRO users get $2 worth of Inference credits every month to use across providers.