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2026

M-CSN: Joint Architecture and Flow Scheduling for Metro-Scale AI Fabric Based on Supernodes

Deploying trillion-parameter large language models across metropolitan environments is required to sustain real-time inference. Urban power constraints, however, prohibit monolithic GPU clusters, forcing the integration of distributed supernodes into a citywide compute fabric. Over 100-km distances, optical propagation...

Liang Guo, Ji-Zhuang Zhao, Wei Quan et al. · 0 citations

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