AINeutralarXiv – CS AI · 8h ago6/10
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AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
Researchers present a framework for optimizing AI inference workload placement across geographically distributed data centers by treating computation as relocatable electricity demand. The model balances latency constraints against energy costs and carbon intensity, revealing that workload flexibility significantly expands execution geography but faces practical friction from migration costs, regulatory limits, and network constraints.