Today at the Microsoft Build conference, Satya Nadella announced an expanded collaboration with Hugging Face, to make its wide diversity of open models easy to deploy on Azure secure infrastructure.
If you head over to Azure AI Foundry today, you will find a vastly expanded collection of 10,000+ Hugging Face models you can deploy in a couple clicks to power AI applications working with text, audio and images. And we’re just getting started!
2 years ago, Microsoft and Hugging Face started a collaboration to make open models more easily accessible on Azure - back then the Hub was home to 200,000 open models.
With now close to 2 million open models on Hugging Face, covering a wide diversity of tasks, modalities, domains and languages, it was time to take our collaboration to the next level. The new collaboration announced today creates a framework for mutual success to vastly expand how Azure customers can benefit from Hugging Face.
"Open source is how AI moves faster—with transparency, choice, and community at its core. This collaboration represents our commitment to that momentum. By combining Hugging Face’s vibrant model ecosystem with Azure’s secure, enterprise-grade infrastructure, we’re giving developers the freedom to pick the best model for the job—and helping organizations innovate safely and at scale.”
-- Asha Sharma, Corporate Vice President at Microsoft
Making more open models easily accessible to Azure customers, for secure deployment alongside company private data, will enable enterprises to build AI applications and agents while being fully in control of their technology and data.
We’re enabling companies to take control of their AI destiny, deploying the best open models securely within their Azure account, to build AI applications they can trust and verify.
-- Clement Delangue, CEO and cofounder at Hugging Face
Let’s head over to Azure AI Foundry, and select the Model Catalog. Here you can now find over 10,000 models under the Hugging Face Collection.
Models in the Collection include the most popular, trending models on Hugging Face for a wide range of tasks to work with text, audio and images - including text generation, feature extraction, fill-mask, translation, identifying sentence similarity, image classification, image segmentation, text to image generation, image to text conversion, automatic speech recognition and audio-classification.
To make the Hugging Face Collection on Azure AI Foundry enterprise-ready, we are only featuring models:
In addition, Microsoft and Hugging Face will continuously test inference containers for vulnerabilities to maintain and patch them as needed.
Now let’s say you want to deploy for instance the popular Microsoft Phi-4 Reasoning Plus open model.
First, let’s select the model in the Hugging Face Collection in Azure AI Foundry, and click the “Deploy button”. The form allows you to select a VM, instance count and deployment parameters, and start the deployment process with just another click!
Now, if you prefer browsing models on the Hub, you can also start from the model page - the “Deploy on Azure ML” option will take you to the same deployment option within Azure AI Machine Learning Studio.
We are really excited about all the new Hugging Face models and modalities now directly available within Azure AI Foundry, but we’re not going to stop there!
In the weeks and months to come, you can expect a rolling thunder of updates:
If you’re on Azure, it’s time to build with open models!
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