Hugging Face announces new Google Cloud partnership focused on speed, security and TPU access
Hugging Face confirmed a new collaboration with Google Cloud aimed at improving model access, infrastructure efficiency and security for AI builders.
Hugging Face’s co-founder and CEO Clem Delangue took to social media to announce a new partnership with Google Cloud, describing how the collaboration will change the way developers access and run open-source AI models at scale.
Hugging Face hosts one of the world’s largest ecosystems of open models and datasets used by developers, researchers and companies across the AI sector.
In his LinkedIn post, Delangue said that “every day, over 1,500 terabytes of open models and datasets are downloaded and uploaded between Hugging Face and Google Cloud by millions of AI builders.” He added that the company suspects this activity “generates over a billion dollars of cloud spend annually already.”
Infrastructure updates aimed at reducing latency and cost
Under the partnership, Google Cloud customers will see improvements to model uploads and downloads through Vertex AI and Google Kubernetes Engine. Hugging Face will introduce a new gateway that caches repositories directly on Google Cloud, a move positioned to reduce latency for teams working with large datasets and models.
Delangue outlined the expected benefits for developers, stating that the companies will “reduce Hugging Face model & dataset upload and download times through Vertex AI and Google Kubernetes Engine thanks to a new gateway for Hugging Face repositories that will cache directly on Google Cloud,” and “offer native support for TPUs on all open models sourced through Hugging Face.” He added that the work will “provide a safer experience through Google Cloud’s built-in security capabilities.”
Julien Chaumond, CTO of Hugging Face, also posted about the announcement, echoing the scale of existing usage. In his post, Chaumond wrote, “Every day, over 1,500 terabytes of open models and datasets are downloaded and uploaded between Hugging Face and Google Cloud by millions of AI builders. We estimate that it generates over a billion dollars of cloud spend annually already.”
Chaumond noted additional security integrations, including VirusTotal, as part of Google Cloud’s capabilities. He said the partnership will make AI “faster, safer & cheaper for all.”
Both posts framed open-source AI as the long-term foundation of cloud workloads. Delangue wrote that “the majority of cloud spend will be AI related and based on open-source (rather than proprietary APIs) as all technology builders will become AI builders.”
Chaumond echoed this perspective and concluded with the company’s view of where the industry is heading. Chaumond said, “And both Google Cloud and Hugging Face will be there for it, let's go!”
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