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Apple talks with startup that could cram GPT-class AI onto your iPhone

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A picture of a smartphone used in a story about a company cramming a LLM onto the iPhone.
PrismML claims it has compressed a 27-billion-parameter AI model down to 4GB — small enough to run on an iPhone 17 Pro.
Photo: Unsplash

Apple’s on-device ambitions just got more interesting. The company has reportedly been talking to a startup called PrismML that claims to run a massive, server-grade language model on the iPhone 17 Pro — no cloud required.

If the discussions turn into a deal between Apple and PrismML, it could be a significant upgrade for Apple Intelligence. Here’s why.

PrismML: The startup fueling Apple’s on-device AI ambitions

Most advanced AI features today rely on powerful models running in remote data centers. That means your requests, documents and conversations often must leave your device before an answer can be generated.

Apple Intelligence reduces this as much as possible with on-device models, but some of Apple’s smartest AI features still offload their heaviest tasks to Private Cloud Compute. This not only costs money but also carries a small privacy trade-off.

On-device AI that can match that muscle would enable Siri AI to get sharper without ever leaving your pocket.

But there might be a fix. Apple is reportedly talking to PrismML, a company that claims it pulled off something Apple engineers haven’t been able to, according to a new report by The Information.

PrismML reportedly squeezed Alibaba’s open-source Qwen 3.6, a 27-billion-parameter model that normally takes up 54GB — and compressed it down to 4GB without compromising on how smart it is.

One thing to note is that PrismML’s claim has not been independently verified.

How this stacks up against Apple’s own AI

Apple’s latest on-device model — AFM 3 Core Advanced — already powers the expressive Siri AI voices introduced in iOS 27. And while it’s a 20-billion-parameter model, it only uses 1 billion to 4 billion parameters to stay lightweight.

But PrismML says its compressed Qwen model skips that shortcut entirely, meaning all 27 billion parameters remain active at once. That’s a big part of why it can handle complex reasoning, extended chats and even autonomous coding tasks. It is exactly the kind of heavy lifting usually reserved for cloud-based features.

Why would Apple want in?

Apple is reportedly currently in early talks with PrismML about how it could use the compressed Qwen model. Still, nothing suggests a deal is close or even on the table.

This wouldn’t be the first time Apple has shopped in this space, though. The company paid around $2 billion to acquire AI startup Q.ai earlier this year.

Pair that with Apple using Google’s infrastructure to help power the new Siri AI coming with iOS 27, and a pattern emerges. Apple knows its in-house AI still needs outside help to compete, and it is willing to pay for it.

What it means for you

None of this changes anything about the iPhone in your pocket today. And, a deal with PrismML might never see the light of day. But if the claim holds up, it could signal where Apple wants Siri AI to go next — less reliance on servers, more capable intelligence features running on the silicon you already own.

Whether this shows up before next year’s Worldwide Developers Conference keynote is anyone’s guess. But if Apple really is shopping for a smarter, cloud-free AI, don’t be surprised if PrismML’s name appears before iOS 28 rumors start swirling.

One response to “Apple talks with startup that could cram GPT-class AI onto your iPhone”

  1. Constable Odo says:

    If it works, I sure hope Apple would buy that company and immediately hire all those employeesl

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