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cs.AI2026
Characterizing Job Power Elasticity for Power-Flexible AI Training
Philip Colangelo, Charles Dawson, Shayan Sengupta +2
Large language model (LLM) training is among the fastest-growing sources of electricity demand in modern data centers, and power availability is a primary bottleneck to continued A…
cs.AI2026
PALS: Power-Aware LLM Serving for Mixture-of-Experts Models
Can Hankendi, Rana Shahout, Minlan Yu +1
Large language model (LLM) inference has become a dominant workload in modern data centers, driving significant GPU utilization and energy consumption. While prior systems optimize…