arXiv (OAI Expanded)
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Comparative Characterization of KV Cache Management Strategies for LLM Inference
Efficient inference with Large Language Models (LLMs) increasingly relies on Key-Value (KV) caches to store previously computed key and value vectors at each layer. These caches are essential to minimize redundant computation during autoregressive token generation, lowering computational complexity
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