Hundreds of thousands of AI models on Hugging Face configured for one-click deployment to Google Cloud
Integration of Hugging Face with Google Cloud Model Garden on Vertex AI, Google Kubernetes Engine (GKE), and Cloud Run makes AI easier to build with open models
Start-ups and enterprises can build and deploy applications with open models fast and cost-effectively
The Hugging Face platform gives everyone access to open-source AI tools and 13 million AI builders can now easily deploy over two AI models and build their own AI applications on Google Cloud in a matter of clicks.
The Hugging Face platform gives everyone access to open-source AI tools and 13 million AI builders can now easily deploy over two AI models and build their own AI applications on Google Cloud in a matter of clicks.
The new way to build AI using open-source models
Founded in 2016, AI platform Hugging Face enables businesses to build their own AI with open models. Start-ups and enterprises previously found it expensive and challenging to build their own AI by fine-tuning open models. Hugging Face solved this by hosting over two million open-source AI models, including Gemma 3 from Google Cloud, and providing the open source libraries to train and deploy the models directly on Google Cloud. The platform allows developers to discover state-of-the-art models, collaborate with AI builders, and integrate tools directly through APIs. Beyond hosting, it fosters a vibrant community of 13 million AI builders collaborating on models, datasets and “Spaces” demo applications. By lowering barriers to entry, Hugging Face ensures that powerful AI tools are accessible to developers everywhere, not just at major tech giants.
We want to see a world where every company and developer in the world can build and host their own AI models and applications. Together with Google Cloud, we are making it super easy to build with open models directly in Vertex AI, GKE, and Cloud Run.
Jeff Boudier
Product and Growth, Hugging Face
Why Google Cloud?
Hugging Face partnered with Google Cloud to provide the optimal infrastructure for its vast model library, a collaboration that prioritizes speed and safety. Developers now use faster model downloads through Model Garden on Vertex AI and Google Kubernetes Engine (GKE), allowing them to spend less time waiting and more time building. The partnership also unlocked native TPU support for all open models, using high-performance hardware from Google Cloud for efficient training. Additionally, the integration ensures a safer experience through the platform's built-in security scanning for models. Together, Hugging Face and Google Cloud offer a seamless environment that combines open-source flexibility with enterprise-grade speed and protection.
Google Cloud customers are innovating with open models, sending billions of requests a month to the Hugging Face platform. By working closely with Google Cloud, we're making AI deployment faster and seamless, whether you are using Vertex AI, Google Kubernetes Engine or Cloud Run to build your own AI with open models.
Jeff Boudier
Product and Growth, Hugging Face
Hugging Face is the AI community building the future.
Industries: Technology, Startup
Location: United States
Products: Gemma 3, Google Kubernetes Engine (GKE), Model Garden on Vertex AI, TPU
