Non-Uniform KV Cache for Efficient Multi
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Tangram: Unlocking Non-Uniform KV Cache for Efficient Multi-turn LLM Serving
arXiv:2606.06302v1 Announce Type: new Abstract: Multi-turn Large Language Model (LLM) serving is critical for consistent user experiences, yet the linear growth of the Key-Value (KV) cache imposes significant pressure on GPU memory and bandwidth. Non-uniform KV compression effectively preserves more information by considering the individual importance of each KV cache. However, such KV cache heterogeneity introduces various systemic challenges - including memory fragmentation, scheduling...