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摘要: Apple

Apple rebuilt Siri on Google’s AI and Nvidia’s chips, then spent WWDC explaining why that doesn’t break its privacy promise

The new three-tier architecture routes queries from on-device models...

正文

Apple rebuilt Siri on Google’s AI and Nvidia’s chips, then spent WWDC explaining why that doesn’t break its privacy promise

The new three-tier architecture routes queries from on-device models to Google Cloud running Nvidia Blackwell GPUs, with Apple saying no data is stored and Google can’t train on it.

June 9, 2026 - 9:10 am

Image by: Daniel L. Lu

Apple rebuilt Siri on a custom 1.2T-parameter Gemini model running on Nvidia Blackwell GPUs in Google Cloud. Federighi says requests are never stored. The company unveiled five new AI models and a three-tier privacy architecture.

Apple’s most important AI announcement at

WWDC 2026

was not a feature. It was an architecture.

The rebuilt Siri runs on a custom 1.2-trillion-parameter model built on Google’s Gemini technology, hosted on Google Cloud servers powered by Nvidia Blackwell B200 GPUs. For the company that made

privacy its premium product

, outsourcing AI inference to its largest competitor’s cloud requires an extraordinary amount of trust engineering.

The three-tier system

Apple now routes Siri queries through three layers. Simple tasks stay on-device using Apple’s own models. Moderately complex requests go to Apple’s Private Cloud Compute servers.

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The heaviest reasoning tasks route to Google Cloud. At each tier, Apple says queries are anonymised and tokenised so neither Apple staff nor Google can link requests to individual users.

What Federighi said

We use none of the models that Google deploys to its customers,

” software chief Craig Federighi said at a WWDC media event. “

Your requests are completely private to you. They’re never stored. They’re never accessible to anyone.

The contract with Google reportedly bars the company from training future models on Apple user data. Nvidia’s confidentia

来源: Brave/thenextweb.com

采集时间: 2026-06-09 20:16:27