The landscape of model serving systems has evolved significantly; however, most fail to adequately address the unique challenges posed by autoregressive LLM inference, leading to missed optimization opportunities.
PagedAttention, along with the KV Cache Manager introduced in vLLM, provides a novel approach to addressing memory challenges in large language model serving, optimizing autoregressive generation effectively.
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