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An SSD-native local MoE inference system that addresses challenges with an SSD I/O pipeline optimized for expert delivery, a native three-tier storage hierarchy that delivers and retains experts dynamically, and balanced CPU--GPU hybrid execution.
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.
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