The vLLM Production Stack provides a reference implementation for deploying vLLM inference engines at scale in production. It enables scaling from single instances to distributed Kubernetes deployments without changing application code. The stack includes web-based monitoring dashboards, request routing for load distribution, and KV cache offloading to optimize inference performance across cluster-wide deployments.