How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure
Source
Tanya Lenz
Author
Tanya Lenz
Published
Why it matters
Explores challenges of sharing one Kubernetes cluster across many teams
Covers conflicting CRD versions and overlapping RBAC issues at scale
Addresses carving GPU capacity into team-level budgets in shared clusters
Transcript
Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared... Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared across many teams, the coordination costs increase as the number of teams grows. Challenges include conflicting CRD versions, overlapping RBAC, and no clean way to carve GPU capacity into team-level budgets. At a certain scale… Source
