10 citations · 23 across the 19 of their papers we have counts for
3 papers · 1 filter
Analytical Power-Aware Provisioning for Prefill-Decode Disaggregated AI Inference
Mingyuan Yan, Haiyu Wang, Linxuan Biao +3
Power availability increasingly constrains the operation of AI inference fleets, creating a need for provisioning methods that jointly consider serving capacity and power consumpti…
Measured Joules, Learned Routes: Learning to Route for Energy-Efficient LLM Serving
Muhammad Abdur Rab Siddiqui, Daniela Rojas, Chen Yang +3
Large language models (LLMs) and agentic AI systems are creating rapidly growing inference energy demands as model sizes grow and reasoning trajectories extend. While in practice,…
Switching-Reference Voltage Control for Distribution Systems with AI-Training Data Centers
Mingyuan Yan, Trager Joswig-Jones, Baosen Zhang +2
Large-scale AI training workloads in data centers exhibit rapid and periodic power swings that can induce voltage deviations in power distribution systems. Existing voltage control…