arXiv (All)
open access
Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices
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 power
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Minions: A Dynamic and Distributed Virtual GPU Cloud Built on Idle Apple Silicon Devices#1291780
- Bridging the Gap between MAC Optimization and Energy Efficiency in GPU-Powered Edge AI#142495
- Energy-Aware Scheduling for Serverless LLM Serving on Shared GPUs#1343628
- Active Filter Design for Buffering Datacenter-Scale Power Fluctuations from Training AI#1071274
- OmniPilot: An Uncertainty-Aware LLM Inference Advisor for Heterogeneous GPU Clusters#332499
Record · ID 1297322
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive