Apple is working on an AI server that would use Apple’s high-performance M-series Ultra chips found in Mac desktops. The potential product’s expected release in 2029 would mark the first Apple server to hit the market in nearly two decades—and could capitalize on the surging popularity of Apple hardware among AI developers.

The enterprise server would come in two configurations that include either two or four of Apple’s future M8 Ultra chips, according to The Information. The project reportedly received support from new Apple CEO John Ternus when it began a year ago, back when Ternus led Apple’s hardware engineering efforts.

This revelation coincides with booming sales for Apple’s Mac mini and Mac Studio as AI developers and companies snap up the Mac computers to run AI workloads. The popularity of such computing devices that rely on Apple’s M-series Ultra chips has undoubtedly encouraged Apple’s pursuit of an enterprise server using the same chips.

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Apple Intelligence is back, baby! That's right: Two years after its initial launch, Apple is giving its generative AI features their first significant upgrade, along with a new version of Siri that the company has been strongly insinuating would be a part of each of the last two macOS releases, without ever actually announcing a release date.

Generative AI is unavoidable if you install macOS 27 Golden Gate. I'm being very literal: There used to be a toggle you could hit if you wanted to turn off Apple Intelligence and delete the gigabytes' worth of AI models it would download to your disk, and now there isn't. Apple Intelligence defines the Golden Gate release, in everything from its marketing to its features to the chips it runs on to the amount of space it takes on your disk. Ready or not, here it is.

But if you can manage to look past that fanfare somehow, the operating system underneath Apple Intelligence is getting the kind of update that macOS users usually proclaim to like. Golden Gate addresses the most irritating of macOS 26 Tahoe's design sins, adds a big pile of incremental improvements, and promises a bunch of under-the-hood fit-and-finish optimizations to make common tasks feel just a little faster and more reliable than before.

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