# IceCache: Cutting LLM Memory Costs Without Cutting Quality

> KV cache memory scales linearly with sequence length - making long-context inference expensive or impossible on constrained hardware. IceCache clusters tokens semantically using a DCI-tree index, retaining 99% of full-cache accuracy at 256 tokens and outperforming PQCache at 4x the budget.

Canonical URL: https://kravhal.kcsatish.com/insights/week-23
Edition: Week 12 · May 2026
Tags: Deep Learning, Efficiency, LLMs
Reading time: 8 min read

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