CUPERTINO: Apple is making an unusual pitch to corporate buyers as its new desktop computers begin shipping Tuesday: They are cheaper than renting data centers.
The upgraded Mac Minis and Mac Studios, which can cost nearly $20,000 and handle AI tasks locally, will compete directly against new desktop machines from Nvidia and PC makers. Those machines are expected to be the focus of a Microsoft Windows event in San Francisco next month.
The new Macs are aimed at more intensive AI tasks, such as writing code or carrying out complex business work, without paying for “tokens”, the fundamental unit of AI computing, from cloud providers such as OpenAI or Anthropic.
Apple hopes its experience squeezing performance out of battery-powered devices like iPhones will help it take a bite out of Microsoft’s home turf. But it faces a steep challenge: Apple holds about 4.6% of the enterprise desktop market, compared with 91.3% for Windows, according to IDC’s Linn Huang.
Apple co-founder Steve Jobs was famously ambivalent about enterprise computing because end users could not pick their favorite products. But Apple has found itself in a strong position for AI desktops, thanks in part to a longstanding obsession with saving power.
When Apple rolled out its first Apple Silicon chips in 2020, it took two kinds of chips, computing and memory, that were separate in PCs and crammed them together in a unified memory architecture for better battery life.
That close connection between computing and memory, which Nvidia and others have only recently shifted toward, had the side effect of making Macs good at AI. Apple started selling out of Mac Minis as OpenClaw, an open-source agentic AI tool, took off in markets such as China.
While Mac Studios were initially aimed at content creators editing videos or music, Apple has quietly slipped in exotic AI features over the past two years, such as bespoke chip-to-chip networking called RDMA over Thunderbolt.
At its launch event this month, Apple showed four Mac Studios strung together to run an AI model with a trillion parameters, a measure of complexity, to find and fix a graphics coding bug. Such tasks usually require a data center, but the stack of Macs runs off one wall outlet.
“Once you have the machine on your desk, you’ve paid for it. And I believe we provide absolutely great value, not only in terms of performance, but cost,” said Johny Srouji, Apple’s chief hardware officer. “There’s no cost per token. You’re just using the machine again and again.”
Microsoft is chasing the same market for what CEO Satya Nadella calls the “unmetered intelligence” of on-device AI. Nadella has also said Microsoft plans to roll many of its AI features into a “super app” for Windows.
But Microsoft’s historic first place in corporate computing means supporting hardware from a huge range of vendors, which can create more work for Windows developers looking to get the most out of a given chip.
Reached for comment, Microsoft said it has been working with chip partners to streamline AI work with its Windows ML tools and that features such as RDMA are an active area of investment. Nvidia declined to comment, but at the launch of its new PC chip this summer, CEO Jensen Huang downplayed any intention to compete directly with Apple, saying Nvidia is focused on expanding what Windows PCs can accomplish.
Nvidia’s stronghold remains the data center. Srouji said Apple is pitching corporate buyers on the idea that on-device AI models developed on its devices can scale up to its priciest Mac Studios or down to its cheapest iPhones and iPads, because their chips share common principles and designs.
