Overview
In this self-paced exercise, you will first configure and provision a GPU enabled Amazon EKS 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 | Provision an Amazon EKS Cluster with GPUs |
| 4 | Deploy a Machine Learning Workload to GPU enabled Amazon EKS Cluster |
| 5 | Scale your EKS cluster worker nodes to zero and back |
| 6 | Deprovision the EKS cluster |
Assumptions¶
- You have access to an Amazon AWS account with privileges to create an IAM Role with the default Full IAM Policy to allow provisioning of resources on your behalf as part of the EKS cluster lifecycle.
- You have a Git client on your laptop.