vcluster

Why we included this project

Running Kubernetes for many internal teams, or serving AI workloads off a GPU cloud, usually forces an awkward trade-off: give every tenant a full cluster and watch the cost climb, or share namespaces and watch the isolation erode. vCluster sidesteps that by placing each tenant on a virtual cluster with its own API server, custom resources, and RBAC on top of a shared control plane, so anything built for standard Kubernetes keeps working unchanged. Platform and SRE teams use it to hand out self-service, fully isolated environments without standing up separate hardware per customer. GPU cloud operators often run Ray or Slurm jobs on top of it instead of buying a physical cluster per user, and the project is CNCF certified Kubernetes, which makes adoption safe for teams already fluent in kubectl and Helm.