LMCache Zero-to-Hero: Accelerate LLM Inference with High-Performance KV Caching
As an expert LLM infrastructure engineer, I’ve deployed countless inference systems where time-to-first-token (TTFT) and GPU efficiency make or break production performance. Enter LMCache—a game-changing KV cache layer that delivers 3-10x delay reductions by enabling “prefill-once, reuse-everywhere” semantics across serving engines like vLLM.[1][2] This zero-to-hero tutorial takes you from conceptual understanding to production deployment, covering architecture, integration, pitfalls, and real-world wins. Whether you’re building multi-turn chatbots or RAG pipelines, LMCache will transform your LLM serving stack. ...