How to Run Isolated Tenant Kubernetes Clusters on Shared GPU Infrastructure

<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation.webp 1920w" sizes="(max-width: 768px) 100vw, 768px" title="kai-scheduler-representation" />Running a dedicated Kubernetes cluster per team often results in more isolation than an organization requires. While one cluster can be successfully shared...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-768x432.jpg" class="webfeedsFeaturedVisual wp-post-image" alt="" style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-768x432.jpg 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-179x101.jpg 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-300x169.jpg 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-625x352.jpg 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-1536x864.jpg 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-645x363.jpg 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-660x370.jpg 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-500x281.jpg 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-160x90.jpg 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-362x204.jpg 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-196x110.jpg 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-1024x576.jpg 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation-960x540.jpg 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/07/kai-scheduler-representation.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="kai-scheduler-representation" /><p>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…</p> <p><a href="https://developer.nvidia.com/blog/how-to-run-isolated-tenant-kubernetes-clusters-on-shared-gpu-infrastructure/" rel="nofollow" data-wpel-link="internal" target="_self">Source</a></p>