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Understanding and Optimizing KV-cache Management for Long-Context LLM Inference A

Unknown authors
· 0 citations · 77 references

TL;DR

This model reveals one key opportunity: dividing a restore request proportionally between the storage path and the GPU can improve inference performance while still meeting SLOs, and reduces the KV-cache storage stack to a performance model based on per-tier capacity, per-tier and interconnect bandwidth, and GPU arithmetic throughput to identify optimization opportunities for KV-cache management.

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