Building for an Open Future - our new partnership with Google Cloud

Today, we are happy to announce a new and deeper partnership with Google Cloud, to enable companies to build their own AI with open models.

“Google has made some of the most impactful contributions to open AI, from the OG transformer to the Gemma models. I believe in a future where all companies will build and customize their own AI. With this new strategic partnership, we’re making it easy to do on Google Cloud.” says Jeff Boudier, at Hugging Face.

“Hugging Face has been the driving force enabling companies large and small all over the world to access, use and customize now more than 2 million open models, and we’ve been proud to contribute over 1,000 of our models to the community” , says Ryan J. Salva, Senior Director of Product Management at Google Cloud. “Together we will make Google Cloud the best place to build with open models.”

TPUs, Google custom AI accelerator chips now in their seventh generation, have been steadily improving in performance and software stack maturity. We want to make sure Hugging Face users can fully benefit from the current and the next generations of TPUs when they build AI with open models. We are excited to make TPUs as easy to use as GPUs for Hugging Face models, thanks to native support in our libraries.

Google Cloud customers use open models from Hugging Face in many of its leading AI services. In Vertex AI, the most popular open models are ready to deploy in a couple clicks within Model Garden. Customers who want greater control over their AI infrastructure can find a similar model library available in GKE AI/ML, or use pre-configured environments maintained by Hugging Face. Customers also run AI inference workloads with Cloud Run GPUs, enabling serverless open model deployments.

The common thread: we work with Google Cloud to build seamless experiences fully leveraging the unique capabilities of each service to offer choice to the customers.

Usage of Hugging Face by Google Cloud customers has grown 10x over the last 3 years, and today, this translates into tens of petabytes of model downloads every month, in billions of requests.