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AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework

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Published in:ArXiv cs.DC Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
sub_discipline_display Computer Science & IT
sub_discipline_facet Computer Science & IT
subject_display ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
subject_facet ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
title AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_auth AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_full AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_fullStr AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_full_unstemmed AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_short AI Inference as Relocatable Electricity Demand: A Latency-Constrained Energy-Geography Framework
title_sort ai inference as relocatable electricity demand: a latency-constrained energy-geography framework
topic ArXiv cs.DC Recent Papers
Computer Science & IT
Engineering & Technology
url https://arxiv.org/abs/2604.27855v1