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New POLCA system boosts LLM serving efficiency by 20% · 2 sources tracked

By PulseAugur Editorial · [2 sources] ·

Researchers have developed a new power control system for disaggregated LLM serving that optimizes GPU energy efficiency. This system, called POLCA, decouples power management for prefill and decode phases, unlike NVIDIA's Max-Q profile which applies a single setting. POLCA's model-calibrated approach leads to significant improvements in tokens per joule and reduced latency, outperforming vendor profiles on specific models like Qwen3-Coder-480B and Qwen3-235B-A22B. AI

IMPACT Optimizes LLM serving infrastructure, potentially reducing operational costs and increasing capacity.

RANK_REASON Academic paper detailing a new technical approach to LLM serving infrastructure.

Read on Hugging Face Daily Papers →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New POLCA system boosts LLM serving efficiency by 20% · 2 sources tracked

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Academic paper detailing a new technical approach to LLM serving infrastructure.
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COVERAGE [2]

  1. arXiv cs.LG TIER_1 English(EN) · Jae Gon Kim, Donghoon Yoo, Hanyul Ryu, Sungho Ha, Juyeon Lee, Soojung Ryu ·

    Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

    arXiv:2609.11133v1 Announce Type: new Abstract: Datacenter GPU power is the binding constraint on LLM serving capacity, and production serving has shifted to prefill/decode (PD) disaggregation. Deploying NVIDIA's Max-Q inference profile on a disaggregated B200 system, we found it…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Phase-Decoupled, Model-Calibrated Power Control for Disaggregated LLM Serving

    Datacenter GPU power is the binding constraint on LLM serving capacity, and production serving has shifted to prefill/decode (PD) disaggregation. Deploying NVIDIA's Max-Q inference profile on a disaggregated B200 system, we found its realized gain modest (+8.6% tokens/J), model-d…

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