Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
Apple Machine Learning Research reports: The increasing demand for GPU-accelerated machine learning inference has exposed limitations in centralized GPU infrastructures, including high cost, limited elasticity, and long wait times under resource constraints. At the same time, modern Apple Silicon–ba…
Apple Machine Learning Research reports: The increasing demand for GPU-accelerated machine learning inference has exposed limitations in centralized GPU infrastructures, including high cost, limited elasticity, and long wait times under resource constraints. At the same time, modern Apple Silicon–based macOS devices are equipped with powerful GPUs that remain largely idle during normal usage.
Key points
- Source: Apple Machine Learning Research
- Published: October 12, 2026
- Topics: AI Infrastructure, AI Chips, Apple, Machine Learning