Google Unveils Private AI Compute to Deliver Gemini Capabilities With On-Device-Level Privacy

Google Unveils Private AI Compute to Deliver Gemini Capabilities With On-Device-Level Privacy

Google has introduced the Private AI Compute, a feature which works similar to Apple’s Private Cloud Compute. The feature is aimed at delivering the capabilities of Gemini AI to users while ensuring that their private data remains accessible only to them and no one else. The company, while announcing its new feature in a blog post, said, “For decades, Google has developed privacy-enhancing technologies (PETs) to improve a wide range of AI-related use cases.” It further added, “Today, we’re taking the next step in building helpful experiences that keep users safe with Private AI Compute in the cloud, a new AI processing platform that combines our most capable Gemini models from the cloud with the same security and privacy assurances you expect from on-device processing. It’s part of our ongoing commitment to deliver AI with safety and responsibility at the core.”

Google already processes many features — including Translate, Audio Summaries, Best Take, Magic Eraser, and others — on user devices. However, as AI systems evolve and require greater computational strength, running advanced reasoning models entirely on-device is no longer feasible. This prompted Google to build a secure cloud environment that replicates the privacy protections traditionally associated with local processing.

Private AI Compute is described by Google as a “secure, fortified space” designed specifically to process sensitive user information in a protected and isolated manner. According to the company, it handles the same kinds of data normally reserved for on-device operations while adding an additional privacy layer on top of its existing AI safeguards. The platform operates within Google’s computing stack powered by its custom Tensor Processing Units (TPUs), and incorporates Titanium Intelligence Enclaves (TIE), a security architecture engineered to maintain strict isolation of user data even during cloud-based processing.

This infrastructure allows Google’s most capable Gemini models to perform advanced AI tasks in the cloud while preserving the confidentiality of user inputs. Google emphasises that the “sensitive data processed by Private AI Compute remains accessible only to you and no one else, not even Google,” reinforcing its promise of strong privacy boundaries.

Early applications of this system are already rolling out. Google highlighted that Pixel 10 users benefit from more proactive and context-aware suggestions through Magic Cue, enabled by the new infrastructure. Additionally, the Recorder app can now summarise transcripts in a wider range of languages, expanding its utility while ensuring privacy remains intact.

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