How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure
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- Aug 4, 2026
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An NVIDIA technical blog post examining why a single shared Kubernetes cluster becomes hard to manage as more teams onboard, citing conflicting CRD versions, overlapping RBAC policies, and the lack of a clean mechanism to partition GPU capacity into team-level budgets. It discusses multi-tenancy approaches for isolating teams on shared GPU infrastructure without provisioning a fully separate cluster per team.
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If you're running shared GPU clusters across multiple teams, this walks through the concrete tradeoffs — CRD conflicts, RBAC scoping, and GPU budget partitioning — that determine whether you need full cluster isolation or can get away with a shared-cluster multi-tenancy model.
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