Google just announced a new system called Private AI Compute, describing it as a way to run its most advanced Gemini models while keeping user data locked down.
Apple already offers a similar feature, introduced in 2024, called Private Cloud Compute.
In a blog post, Google said the feature is designed to balance performance and privacy. Private AI Compute would allow AI models to draw on cloud processing power without giving Google (or anyone else) access to the information being analyzed. According to Google, Private AI Compute operates within a hardware-sealed, verified environment that encrypts all data transfers between devices and its cloud infrastructure.
What’s the point of services like Private AI Compute?
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Customers who are wary of their personal conversations, personal emails, or sensitive company data being used for AI training often prefer to perform AI processes on device, which ensures privacy. That way, their data never leaves their computer or phone. However, that’s not always possible, as many devices weren’t built for complex AI processing.
“This approach delivers the benefits of powerful cloud models with the privacy protections of on-device processing,” the company said in its announcement. It builds on Google’s Secure AI Framework and utilizes its custom TPUs, along with new Titanium Intelligence Enclaves, to enforce end-to-end encryption and security standards, Google said.
Private AI Compute will debut in select Google products, starting with Magic Cue on the Pixel 10 and updated Recorder app features that utilize cloud models to generate smarter summaries and suggestions, while maintaining conversation privacy.
The system’s goal, according to Google, is to support “helpful, personal and proactive” AI experiences without requiring users to trade away sensitive information.
As more of Google’s AI features move beyond simple commands toward proactive assistance, Private AI Compute represents what the company calls a “next step in responsible innovation.”
