Agent Skills: CoreWeave Enterprise RBAC

CoreWeave Enterprise RBAC

Namespace-Per-Team Pattern

# Team namespace with GPU quota
apiVersion: v1
kind: ResourceQuota
metadata:
  name: ml-team-gpu-quota
  namespace: ml-team
spec:
  hard:
    requests.nvidia.com/gpu: "8"
    limits.nvidia.com/gpu: "8"
    persistentvolumeclaims: "10"
    requests.storage: 2Ti
---
apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: ml-team-access
  namespace: ml-team
subjects:
  - kind: Group
    name: ml-engineers
    apiGroup: rbac.authorization.k8s.io
roleRef:
  kind: ClusterRole
  name: edit
  apiGroup: rbac.authorization.k8s.io

Read-Only Access for Monitoring

apiVersion: rbac.authorization.k8s.io/v1
kind: RoleBinding
metadata:
  name: ml-team-readonly
  namespace: ml-team
subjects:
  - kind: Group
    name: ml-managers
roleRef:
  kind: ClusterRole
  name: view
  apiGroup: rbac.authorization.k8s.io

Resources

• CoreWeave CKS
• Kubernetes RBAC

Next Steps

For migration strategies, see coreweave-migration-deep-dive.