Metal Sandbox: Isolated Execution and Command Scheduling for GPU Coding Agents on Apple Silicon
arXiv — cs.LG metadata · Haozhe Wang, Lina Chen, Fanqi Wan, Qi Han, Yinmin Zhang, Zheng Ge, Daxin Jiang, Junchi Yan · Published on Readzer
Summary
The paper presents Metal Sandbox, infrastructure for Apple Silicon that combines restricted per-instance file access, native command execution, and command-level scheduling across interconnected Macs to improve GPU utilization during agent rollouts. Controlled experiments on four Mac mini M4 nodes show 1.68x–2.05x gains in command throughput under concentrated demand, and replaying measured traces under dynamic scheduling reduces mean tool waiting by 18.8% and batch elapsed time by 22.3%. The system integrates with Harbor for task execution and verification, and is open-source on GitHub.
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Why it matters by industry
- Artificial intelligence
Relevant to artificial intelligence, specifically for improving efficiency of GPU coding agents on Apple Silicon through isolated execution and scheduling.