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#machine learning Preprint Sep 2026

Beyond Energy: When Sustainability Dimensions Reshape LLM Serving Decisions

This work presents PRISM, a unified framework for characterizing and optimizing LLM serving across energy, carbon, water, and biodiversity impacts, and reveals a fundamental distinction: computing configurations determine energy consumption, whereas where and when LLM serving is deployed determine its carbon, water, an...

Tian-Yao Shi, Xi-Peng Shen, Yi Ding · 0 citations
Jul 2026

BrownoutMoE: Structure-Aware Expert Grouping for Efficient and Accurate LLM Web-based Services

Inspired by the brownout paradigm in service computing, BrownoutMoE reorganizes experts into groups to improve utilization and system efficiency while maintaining service quality and introduces a grouping-consistent distillation process to produce deployable models that are compatible with standard inference pipelines.

Yi Ding, Minxian Xu, Zheng-Xin Fang et al. · 0 citations

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