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Author

Jie Li

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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
Conference Jun 2026

PMKS: Co-Designing Distributed Networking and Multi-Tier Storage for Ultra-Long Context LLM Inference

The massive memory footprint of the KV Cache is a critical bottleneck in scaling Large Language Model (LLM) inference to ultra-long contexts. Existing single-node or compression-based methods either compromise model fidelity or fail to scale efficiently. This paper introduces a four-tier heterogeneous storage architect...

Liang Guo, Zezhi Hu, Long Chen et al. · 0 citations

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