GhostCacher is a distributed Key-Value (KV) prompt caching orchestrator that dramatically reduces LLM inference latency and cost by storing and reusing the computed attention states of frequently used prompt prefixes across a distributed GPU cluster.
What is the david-spies/ghostcacher GitHub project? Description: "GhostCacher is a distributed Key-Value (KV) prompt caching orchestrator that dramatically reduces LLM inference latency and cost by storing and reusing the computed attention states of frequently used prompt prefixes across a distributed GPU cluster.". Written in Rust. Explain what it does, its main use cases, key features, and who would benefit from using it.
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