Apple is rolling out upgraded Mac mini and Mac Studio computers this week with a pitch aimed squarely at corporate buyers: local AI work can be cheaper than renting cloud capacity from Microsoft, Nvidia-backed systems, or token-based AI services.
According to Reuters‘ Stephen Nellis, the new machines — some configured at nearly $20,000 — are designed for intensive on-device tasks such as writing code or running complex business workflows without paying per token to providers like OpenAI or Anthropic. Apple is positioning the desktops against new Windows PCs expected to take center stage at a Microsoft event next month.
The company still faces a steep climb in offices. IDC’s Linn Huang put Apple’s share of the enterprise desktop and laptop market at about 4.6%, versus 91.3% for Windows. Apple co-founder Steve Jobs was long skeptical of enterprise computing, but the company’s focus on power efficiency has given it an unexpected opening in AI desktops.
When Apple introduced its own silicon in 2020, it combined compute and memory in a unified architecture originally meant to stretch battery life. That design later proved well-suited to AI workloads. Demand for Mac Minis rose as open-source agentic tools gained traction, and Apple has added features such as RDMA over Thunderbolt so multiple Mac Studios can be networked together. At a recent event, the company showed four Studios running a trillion-parameter model to debug graphics code — work that would typically require a data center, yet the cluster ran from a single wall outlet.
“Once you have the machine on your desk, you’ve paid for it,” Apple hardware chief Johny Srouji said. “There’s no cost per token. You’re just using the machine again and again.” He also argued that models developed on Apple hardware can scale from iPhones and iPads up to high-end Mac Studios because the chips share common design principles.
Microsoft is pursuing a similar “unmetered intelligence” vision for on-device AI and said it is working with chip partners on Windows ML tools, with RDMA an active area of investment. Nvidia declined to comment; CEO Jensen Huang has said the company is focused on expanding what Windows PCs can do rather than competing directly with Apple. Nvidia’s core strength remains the data center.
MacDailyNews Take: Smart enterprise buyers buy Macs.
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“At a recent event, the company showed four Studios running a trillion-parameter model to debug graphics code — work that would typically require a data center, yet the cluster ran from a single wall outlet.”
So for just around $50,000 I could run my own data center in one room of my house? Wild.
Actually, I just tried configuring a maxed out Mac Studio on the website and one is closer to $19,000, so my first estimate was off by about $26,000.