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Best Practices for Heterogeneous LLM Inference and Serving Explored
Heterogeneous prefill-decode (PD) inference uses cost-efficient accelerators for prefill and bandwidth-strong ones for decode, managing KV state across mixed interconnects and numerical formats. The study highlights the need to understand which decisions at the PD boundary must be made jointly vers...
Optimizing heterogeneous LLM inference can improve cost efficiency and performance by leveraging different hardware strengths. Clarifying decision boundaries helps streamline deployment strategies for large language model serving.
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Score 75
Source Type arxiv
Reposts 0
Topic Quality 62
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