Apple built 'Minions' system to turn idle Macs into internal GPU cloud
Apple researchers detailed a system called Minions in an arXiv paper, which harnesses idle Apple Silicon Macs across the company's network to process AI inference workloads. The system splits jobs—embedding tasks and LLM text generation via Ollama—into subtasks that idle Macs pull and execute, cutting wait times from over 10 hours in GPU queues to minutes.
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The approach suggests Apple is finding ways to stretch internal compute resources without buying additional GPU hardware, potentially offering a blueprint other companies with large device fleets could study. Researchers noted internal concern about team data running on other groups' machines, which hints at unresolved security or data-governance tradeoffs in such distributed setups.
- Minions distributes AI inference jobs across idle company Macs using Apple Silicon GPUs.
- The pull-based system with no central scheduler reduced wait times from 10+ hours to minutes.
- Internal researchers flagged employee concerns about data running on other teams' devices.
Mac mini with Apple M4 chip — This story is all about harnessing idle Apple Silicon Macs for distributed AI inference, and the Mac mini is the perfect low-cost, always-on machine to dedicate to exactly that kind of workload. Its efficient M-series chip is well suited to local LLM inference via tools like Ollama, mirroring the setup described in Apple's own research.
See Mac mini with Apple M4 chip on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: tomshardware.com — Shane Downing, 2026-10-14
Published there as: “Apple researchers turn idle Macs into a virtual GPU cloud with ‘Minions’”
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