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
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BIRDS defines request-level functional units, quantifies operational and embodied biodiversity impact, and introduces Quality-Normalized Biodiversity Impact (QNBI) to jointly analyze ecological impact and response quality.
Tianyao Shi, Yi Ding
· arXiv.org · 0 citations
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Jul 2026
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.
· arXiv.org · 0 citations
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