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Analytical Power-Aware Provisioning for Prefill-Decode Disaggregated AI Inference
Power availability increasingly constrains the operation of AI inference fleets, creating a need for provisioning methods that jointly consider serving capacity and power consumption. Prefill--decode (PD) disaggregation has emerged as a prevalent architecture for large-scale inference serving. Howev
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