Operationalize AI Infrastructure with vCluster
Enterprises are investing heavily in NVIDIA DGX systems to power AI innovation, but operating GPU clusters efficiently at scale is still a major challenge. This Reference Architecture explains how vCluster extends NVIDIA Base Command Manager (BCM) with Kubernetes-native lifecycle management to simplify operations, maximize GPU utilization, and maintain strict tenant isolation.
With this guide, you’ll learn:
- Integrate vCluster with BCM for streamlined DGX lifecycle management
- Improve isolation and GPU utilization with Private Nodes and Auto Nodes
- Enable secure multi-tenancy across AI, data science, and engineering teams
- Follow practical deployment steps and proven DGX architecture patterns

