如何在共享 GPU 基础设施上运行隔离的租户 Kubernetes 集群
How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure
NVIDIA 介绍如何在共享 GPU 基础设施上运行隔离的租户 Kubernetes 集群。每团队一套专用集群往往带来超出组织所需的隔离程度，而单集群多团队共享虽可行，但随着团队增多协调成本上升，会出现 CRD 版本冲突、RBAC 重叠，且无法把 GPU 容量干净地划分为团队级预算。
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…
来源：NVIDIA Developer Blog · developer.nvidia.com