LMCache Lab

You can't buffer an LLM. Unlike video streaming, where you can render lower-resolution frames while data loads, an LLM requires 100% of its KV cache to generate the next token. This means your slowest chunk dictates your entire inference speed. If you are managing LLM infrastructure, optimizing for average latency isn't enough; your architecture is entirely bound by P99 performance. Samuel Shen breaks down how dropping variable-sized metadata and enforcing fixed-size chunking doubled LMCache's throughput from 2GB/s to 5GB/s. Watch the full technical breakdown here: #LMCache #KVCache #LLM #AIInfrastructure #OpenSource