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Siri’s AI reboot could run on NVIDIA chips inside Google Cloud

Apple’s overhauled Siri is reportedly set to use NVIDIA Blackwell chips inside Google Cloud for tougher AI queries while keeping simpler tasks on-device.

By
Shubham Sawarkar
Shubham Sawarkar's avatar
ByShubham Sawarkar
Editor-in-Chief
I’m a tech enthusiast who loves exploring gadgets, trends, and innovations. With certifications in CISCO Routing & Switching and Windows Server Administration, I bring a sharp...
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Jun 4, 2026, 2:01 PM EDT
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Apple showing off Siri’s updated logo at WWDC 2024.
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Apple’s Siri reboot looks less like a neat software update and more like a full-stack compromise between ambition, privacy, and the reality of modern AI infrastructure. According to the report, Apple will lean on Google’s fleet of NVIDIA Blackwell B200 chips for cloud-based Siri requests, while still keeping simpler tasks on-device.

For years, Apple has sold Siri as a privacy-first assistant that should do as much as possible on the device itself. That approach fits Apple’s broader pitch, but it also limits how far Siri could go when users ask for more complex, multi-step help. Apple’s own Private Cloud Compute system was introduced as the answer to that gap, designed to extend Apple-like privacy into the cloud for advanced AI work.

The new twist is that Apple apparently tried to run a modified Gemini setup on its own server stack and found it too slow, which helps explain why NVIDIA’s data center chips are now part of the picture. In practical terms, this means Siri’s brain may be Google’s Gemini models, while the heavy lifting happens on hardware sitting inside Google Cloud rather than in Apple’s own servers.

The Blackwell B200 is NVIDIA’s current heavyweight in the AI data center market, built for large model training and inference, so the choice is not random or symbolic. If Apple really does use Google’s Blackwell-equipped fleet, it is basically borrowing the fastest highway available for the most demanding Siri requests.

MacRumors says Apple plans to use NVIDIA’s hardware-based confidential compute feature so user data stays encrypted during processing. That detail matters because it shows Apple is still trying to keep the privacy narrative intact even as the execution shifts toward outside infrastructure.

The privacy tradeoff

This is where the story gets interesting, because Apple’s messaging has always depended on a clean line between powerful AI and user privacy. Apple’s Private Cloud Compute framework was built to make cloud processing more private by keeping Apple in control of the hardware and software stack. Google’s statement on the partnership says Apple Intelligence will continue to run on Apple devices and Private Cloud Compute, while Google’s Gemini models and cloud technology help power future features, including a more personalized Siri.

The reported NVIDIA-Google setup complicates that promise, at least visually, even if the technical protections remain strong. Apple may still argue that the request is encrypted, the processing is temporary, and the model access is tightly controlled, but users will notice that the company is no longer relying purely on Apple silicon for the most important Siri work.

What Apple is really buying

Apple is not just buying compute. It is buying time, reliability, and a way to ship a Siri that can finally compete in the AI assistant race without waiting years to build everything in-house. The company has already been under pressure after repeated Siri delays and the broader lukewarm response to Apple Intelligence’s early rollout.

That makes the Google-NVIDIA arrangement feel less like a philosophical shift and more like a tactical one. Apple still wants to own the user experience, the privacy story, and the final product surface, but it seems willing to outsource part of the back end if that is what it takes to make Siri feel genuinely useful.

This deal also says something larger about where AI assistants are headed. The smartest features are becoming too demanding for a single company to do alone at scale, especially if that company also wants to preserve a privacy-first brand. So the future may look a lot messier than the polished marketing suggests: one company’s model, another company’s chips, a third company’s cloud, and a carefully worded privacy promise holding the whole thing together.

For Apple, that messiness may be worth it if the result is a Siri that finally sounds less like a stuck voice command tool and more like an actual assistant. And for NVIDIA, it is another reminder that the AI boom is not only about model makers – it is about whoever supplies the engines underneath them.

Apple is expected to talk more about its on-device AI story at WWDC next week, with the revamped Siri reportedly arriving in September. The real question is not whether Apple can make Siri smarter anymore – it is whether it can do so without making the whole experience feel less like Apple.


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