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Expanse is a startup that improves GPU/HPC cluster utilization by predicting job resource needs and providing optimizations, addressing the common problem of over-requesting resources that leads to 30-40% effective utilization.
This paper introduces AgentStop, a lightweight supervisor that predicts and preemptively terminates local AI agent trajectories unlikely to succeed, reducing energy waste by 15-20% with minimal impact on task performance.
The paper presents a hybrid Discrete Event Simulation and Agent-Based Model framework for emergency departments, validated against real-world data, and integrates a multi-agent system for autonomous resource allocation optimization.