Aging-aware core management with deep idling of unused cores and least-aged task placement can slow CPU aging and cut yearly embodied carbon in LLM inference clusters by an estimated 37.67%.
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Aging-aware CPU Core Management for Embodied Carbon Amortization in Cloud LLM Inference
Aging-aware core management with deep idling of unused cores and least-aged task placement can slow CPU aging and cut yearly embodied carbon in LLM inference clusters by an estimated 37.67%.