AINeutralarXiv – CS AI · 8h ago6/10
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Learning Burst-Aware Early Warning Models for Capacity Stress under AI Workload Surges in Hyperscale Data Centers
Researchers propose a machine learning framework for predicting capacity stress in hyperscale data centers operating under intensive AI workloads like LLM training and inference. The XGBoost-based early warning system achieves 91.4% recall in detecting stress-prone periods, enabling proactive interventions such as workload throttling and resource scaling before system degradation occurs.