Google Announces Private AI Compute

Jay Yagnik, VP of AI innovation and research, on Google’s The Keyword blog:

Private AI Compute is built on a multi-layered system that is designed from the ground up around core security and privacy principles:

  • One integrated Google tech stack: Private AI Compute runs on one seamless Google stack powered by our own custom Tensor Processing Units (TPUs). World-class privacy and security is integrated into this architecture with Titanium Intelligence Enclaves (TIE). This design enables Google AI features to use our most capable and intelligent Gemini models in the cloud, with our high standards for privacy and the same in-house computing infrastructure you already rely on for Gmail and Search.
  • No access: Remote attestation and encryption are used to connect your device to the hardware-secured sealed cloud environment, allowing Gemini models to securely process your data within a specialized, protected space. This ensures sensitive data processed by Private AI Compute remains accessible only to you and no one else, not even Google.

Sounds a lot like Apple’s Private Cloud Compute, which raises the question of whether this Google project is related to the Gurman scoop that Apple and Google are on the cusp of a deal for a white-label version of Google Gemini to run on Apple’s Private Cloud Compute servers to power the next-generation versions of Siri and Apple Intelligence.

I strongly suspect this is something Google has been working on for a while. Apple, I think it’s fair to say, places a higher priority on privacy than does Google, but Google does value privacy. But perhaps the deal with Apple accelerated the project within Google.

★ Monday, 17 November 2025