Characterizing Job Power Elasticity for Power-Flexible AI Training
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 AI infrastructure growth. Making the power consumption of these workloads flexible could unlock additional power for AI growth, limit increases in electricity prices, and improve the utilization of existing grid…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
