Apple’s big unveiling of iOS 27, the new Siri, and other WWDC reveals are little more than one week away. And today, a new report has fresh details on how Apple’s partnership with Google for AI features is being implemented behind the scenes.
Today The Information has a wide-ranging report from Aaron Tilley on what to expect from Apple’s AI announcements at WWDC. It focuses on the core technologies behind the features Apple will announce, not the features themselves.
The report stresses that Apple will continue touting on-device processing as a priority for its next wave of AI features. It says, “Apple is using a version of Google’s large Gemini model to train a smaller version of the model that can run locally on Apple devices, a process known as distillation.” Tilley adds:
Apple is also on the lookout to acquire smaller companies that can assist in the effort of shrinking down AI models to run on its devices, people familiar with the company said. One such company it has considered acquiring is Liquid AI, a Cambridge, Mass.-based startup specializing in running AI locally on devices, said people familiar with Apple’s strategy.
However, many AI queries are expected to still need cloud support. That’s because the full Gemini model provided by Google has “trillions of parameters” and “requires so much computing horsepower that Apple has struggled to get it to work on its own internal server infrastructure, called Private Cloud Compute.”
The solution reportedly involves turning to Google Cloud and Nvidia’s AI chips.
some user queries to a new version of Siri will run in Google Cloud on a licensed version of the search giant’s Gemini model. Apple recently approved the use of a privacy technology from Nvidia in that setting, suggesting it will use Nvidia AI chips for at least some of its computing needs in Google Cloud, according to people familiar with the matter…Confidential compute is a security feature inside Nvidia graphics processing units that encrypts data and AI models as they are being processed. When enabled, it slightly slows down the processing of AI queries in the cloud, but it could help Apple keep its promises about protecting users’ privacy.
Tilley says that Apple’s decision to use Nvidia’s confidential compute system is very fresh, happening “in recent weeks.” And the company continues seeking more ways to handle AI features in the cloud while still upholding strong privacy protections.
On that note, Tilley says Apple is expected to continue using the ‘Private Cloud Compute’ branding for its next wave of Apple Intelligence features, even though they will no longer run exclusively on Apple’s own servers.
What are your takeaways from this new report on Apple’s plans for Apple Intelligence and its Google deal? Let us know in the comments.
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