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||Cluster Blueprint with Nvidia GPU Operator|
|3||Deploy a Machine Learning Workload to the GPU enabled MKS Cluster|
|4||Deprovision the 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.