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Large Language ModelsAI Business & IndustryTHE DECODERPublished: Aug 31, 2026, 19:01 JST

OpenAI buys tens of thousands of Mac minis for AI agents

OpenAI buys tens of thousands of Mac minis for AI agents

3 Key Points

  1. What happened

    OpenAI and other AI labs have bought tens of thousands of Mac minis and Mac Studios to train computer-use agents that handle multi-step tasks autonomously. The most powerful models have been sold out for months due to a memory chip shortage, and OpenAI wants more.

  2. Why it matters

    These agents could automate complex workflows, and Apple's unified memory architecture makes Macs well-suited for long-running AI workloads. Apple's Mac revenue jumped nearly 29% to $10.4 billion in the June quarter, partly fueled by this demand.

  3. What to watch

    Open-source software Exo lets users link multiple Macs into a cluster to run large models locally. Peter Voell, formerly on OpenAI's computing infrastructure team, is building an Apple-based cloud service called Mount Thor.

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Context & Analysis

The surge in Mac mini purchases by AI labs highlights a shift in how AI infrastructure is being built. While Nvidia's GPUs dominate training, Apple's unified memory architecture offers an efficient option for inference and running agents. The shortage of high-end models could spur innovation in alternative setups, such as clustering Macs with Exo or using cloud services like Mount Thor. As AI agents become more common, the demand for such hardware is likely to grow, potentially benefiting Apple's Mac sales further.

FAQ
Why are AI labs buying Mac minis instead of Nvidia GPUs?
Mac minis have strong chips, shared memory, and solid cooling, making them well-suited for long-running AI workloads. Nvidia's DGX Spark uses dedicated GPU power instead of Apple's unified memory architecture.
Are Mac minis being used for local AI too?
Yes, the Mac mini is gaining popularity as a local AI computer, partly due to OpenClaw hype. Exo lets users link multiple Macs into a cluster to run large models locally.

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