https://hujun-open.github.io/knldoc/docs/install/index.htmlChoose an installation path: Install with scripts (k3s) — bootstrap a single-node k3s cluster and install KNL prerequisites and the operator in one workflow Manual install — install each component step by step on an existing cluster (see Manual Install - Requirements first) After installation, continue with the quickstart.Hugoen-ushttps://hujun-open.github.io/knldoc/docs/install/k3s/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://hujun-open.github.io/knldoc/docs/install/k3s/index.htmlThis procedure creates a single node k3s cluster on the host, install KNL and all required components. 0. host requirements The host must be Linux/x86-64 with sufficient CPU, memory, and storage for your lab nodes; nested virtualization may be needed for VM-based node types; a storage class that supports PVCs is required (k3s local-path is used by default).https://hujun-open.github.io/knldoc/docs/install/requirements/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://hujun-open.github.io/knldoc/docs/install/requirements/index.htmlOverview Following requirements must be met before installing KNL manually. k8s cluster KNL should work with all types of k8s cluster: bare-metal, VM or container based. the compute resource (cpu, memory and storage) requirement mostly depends on overall requirement of lab nodes running, these resource requirement could be specified in the Lab CR.https://hujun-open.github.io/knldoc/docs/install/manual/index.htmlMon, 01 Jan 0001 00:00:00 +0000https://hujun-open.github.io/knldoc/docs/install/manual/index.htmlUse this path when you already have a cluster or need full control over each component. 1. make sure all requirements are met 2. create a k8s namespace “knl-system” knl-system is the namespace where KNL operator and all KNL lab related resources are.