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In this self-paced exercise, you will first configure a GPU enabled MKS cluster. You will then follow that up by deploying a workload that will use the GPU and review the integrated dashboards for GPUs.

What Will You Do by Part

Part What will you do?
1 Setup and Configuration
2 Create a Cluster Blueprint with the Nvidia GPU Operator
3 Deploy a Machine Learning Workload to the GPU enabled MKS Cluster


  • You have already provisioned a Rafay MKS Cluster (Upstream Kubernetes cluster) with at least one node comprising a compatible Nvidia GPU.

  • You have a Git client on your laptop.