- Private AI Compute is designed to power Gemini models for your smartphone
- Pixel 10’s Magic Cue could be the first feature to benefit
- Google wants to be transparent and responsible
Google has launched Private AI Compute, its own cloud-based AI processing platform, with the aim of handling heavy processing tasks off-device.
Private AI Compute will enable access to advanced AI capabilities without having to limit them to on-device processing – cloud portions will include strong data privacy protections.
In a company blog post, Jay Yagnik, vice president of AI innovation and research, explained that data processed through Private AI Compute would only be available to the user (not even Google).
Google Private AI Computing Cloud
“[AI’s] advancing capabilities requires advanced reasoning and computing power that sometimes exceeds what is possible with on-device processing,” Yagnik explained.
Google says Private AI Compute unlocks “all the speed and power” of Gemini models – something that would only be possible on a device with expensive chips. Google says the models process data in a “specialized and protected space.”
Core technologies include Google’s proprietary Tensor Processing Units (TPUs) for computing power and Titanium Intelligence Enclaves (TIEs) to cover the privacy and security fronts.
A good example of the benefits that Private AI Compute can offer is the Pixel 10’s Magic Cue, which generates contextual suggestions such as which apps you want to open and which actions you want to take.
Along the same lines, Apple’s Private Cloud Compute (PCC), announced in mid-2024, extends device-level privacy to the cloud. Like Google’s vision of the secure cloud, Apple uses its own proprietary silicon, Secure Enclave and Secure Boot.
“This is just the beginning,” Yagnik explained, suggesting the product could still be in development and continue to improve.
Google’s technical note on Private AI Compute reveals plans for a bug bounty program to strengthen accountability, as well as more options for security developers to inspect code and verify attestation remotely.
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