AIBullisharXiv – CS AI · Apr 147/10
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IceCache: Memory-efficient KV-cache Management for Long-Sequence LLMs
IceCache is a new memory management technique for large language models that reduces KV cache memory consumption by 75% while maintaining 99% accuracy on long-sequence tasks. The method combines semantic token clustering with PagedAttention to intelligently offload cache data between GPU and CPU, addressing a critical bottleneck in LLM inference on resource-constrained hardware.