Overview
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 |
Assumptions¶
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You have already provisioned a Rafay MKS Cluster (Upstream Kubernetes cluster) with at least one node comprising a compatible Nvidia GPU.
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You have a Git client on your laptop.