EBook

Reference Architecture: vCluster on NVIDIA DGX

See how enterprises are extending NVIDIA DGX systems with Kubernetes-native lifecycle management to deliver scalable, isolated, and efficient GPU environments for AI and ML workloads.

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Reference Architecture: vCluster on NVIDIA DGX
WHY YOU NEED THIS EBOOK

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:

  1. Integrate vCluster with BCM for streamlined DGX lifecycle management
  2. Improve isolation and GPU utilization with Private Nodes and Auto Nodes
  3. Enable secure multi-tenancy across AI, data science, and engineering teams
  4. Follow practical deployment steps and proven DGX architecture patterns
Operationalize AI Infrastructure with vCluster

“We're excited to collaborate with vCluster to announce their Infrastructure Tenancy Platform for AI—a platform that helps organizations build and operate AI infrastructure, including support for NVIDIA DGX systems. With vCluster on DGX systems, you can bring the elasticity, automation, and multi-tenancy of Kubernetes onto your on-prem infrastructure. Get the experience of the public cloud on your DGX systems. Learn more now.”

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