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papersTODAY 04:00 UTC

OpWeave: Operator-Level Disaggregation for Heterogeneous LLM Serving

A new arXiv paper introduces OpWeave, a system that breaks LLM inference into finer-grained operators rather than coarse stages, extending recent work that separates attention from FFN or MoE execution during decoding. The authors argue this operator-level disaggregation improves how workloads are matched to heterogeneous hardware during serving.

arXiv OpWeave LLM serving disaggregated inference heterogeneous hardware mixture-of-experts

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arXiv cs.AIOpWeave: Flexible Operator Disaggregation for Heterogeneous LLM Serving ↗TODAY 04:00 UTC