Nvidia GPU Operator on Azure AKS - Rafay Product Documentation
Overview
In this self-paced exercise, you will first provision a GPU enabled AKS cluster with a custom cluster blueprint that contains the Nvidia GPU Operator as an addon. 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 | Provision an Azure AKS Cluster with GPUs |
| 3 | Create a Cluster Blueprint with the Nvidia GPU Operator |
| 4 | Deploy a Machine Learning Workload to the GPU enabled AKS Cluster |
| 5 | Deprovision the AKS cluster |
Watch a video showcasing the end-to-end experience below.
AI/ML Workloads on Azure AKS with NVIDIA GPUs | Rafay Kubernetes Operations - YouTube
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AI/ML Workloads on Azure AKS with NVIDIA GPUs | Rafay Kubernetes Operations
Assumptions
- You have a Git client on your laptop.