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Fractal KV-Cache Archives Enable Lossless Symbolic Storage for Long-Context LLM Inference
This work explores how to store quantized key-value (KV) cache states as symbol streams during long-context autoregressive LLM inference, proposing a contractive iterated-map coding approach. The method aims to reduce memory costs by enabling lossless, in-place retrieval of compressed KV cache data.
KV cache memory dominates the cost of long-context LLM inference, so improving storage efficiency without loss can significantly reduce resource usage. This approach complements existing compression techniques by focusing on the storage layer's role in managing quantized KV states.
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Score 86
Source Type arxiv
Reposts 0
Topic Quality 61
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