Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices

ProofPaper ↗
Key points
- Minions enables teams to leverage existing hardware without requiring additional GPU procurement.
- Our experience shows that idle macOS devices can be transformed into a practical distributed GPU inference platform in environments where centralized GPU resources are constrained.
- In addition to ongoing efforts to accelerate inference on Apple silicon, we have recently made significant progress in accelerating LLM inference for the NVIDIA GPUs widely used for production applications across the industry...
- 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.
Sources (2)
- [1]Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon DevicesApple Machine Learning Research · Oct 12, 12:00 AM
Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
Minions enables teams to leverage existing hardware without requiring additional GPU procurement.
- [2]Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon DevicesarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 9, 04:11 AM
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.
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