Workload composition in AI data centers decouples aggregate power variability from short-horizon ramping through asymmetric queueing where batch jobs fill inference-induced idle capacity.
Journal of Parallel and Distributed Computing 63(11), 1105–1122 (2003)
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Workload composition smooths aggregate power demand while sustaining short-horizon ramps in AI data centers
Workload composition in AI data centers decouples aggregate power variability from short-horizon ramping through asymmetric queueing where batch jobs fill inference-induced idle capacity.