1. Deploy the nvidia helm chart on Kubernetes

    TypeScript

    To deploy an NVIDIA Helm chart on a Kubernetes cluster using Pulumi, you'll be creating a Pulumi program in TypeScript. This program will use the Pulumi Kubernetes provider, specifically the Chart resource, to deploy the Helm chart. Here's what each piece of the code does:

    • Kubernetes Provider: This is the Pulumi provider which allows you to manage Kubernetes resources. It uses your local kubeconfig file by default to communicate with your Kubernetes cluster.

    • Helm Chart Resource: This is the Pulumi resource type that represents a Helm chart in a Kubernetes cluster. You need to provide it with the name of the Helm chart you want to deploy (nvidia in this case), and optionally the version, any custom values, and the namespace where it should be deployed.

    Here's the TypeScript program to deploy the NVIDIA Helm chart:

    import * as k8s from "@pulumi/kubernetes"; // Your chart's release name const releaseName = "nvidia-helm-chart"; // The Helm chart repository where your chart is located const chartRepo = "https://helm.ngc.nvidia.com/nvidia"; // The name and version of the NVIDIA chart you want to deploy // Make sure to confirm the chart's version compatibility with your Kubernetes cluster const chartName = "nvidia"; const chartVersion = "1.0.0"; // Replace with the desired chart version // Create an instance of the Helm chart to deploy it to the cluster. // Make use of the 'kubernetes.helm.sh/v3.Chart' resource from Pulumi's Kubernetes provider. // The chart can be customized by specifying values, which is similar to `helm install/upgrade -f values.yaml`. // Values can be passed as an object directly in the 'values' argument. const nvidiaChart = new k8s.helm.v3.Chart(releaseName, { // Specify the repo and chart to be used repo: chartRepo, chart: chartName, version: chartVersion, // Assuming we use default values for this Helm chart. // If you have custom values, you can specify an object here. // Example: values: { key1: value1, key2: value2 } values: {}, // Optional: Specify a namespace, by default, it uses 'default'. // If the namespace doesn't exist, Pulumi will create it as part of the deployment. // namespace: "your-namespace" }); // To access the deployed Helm chart, export its status and other useful metadata. export const chartStatus = nvidiaChart.status;

    Here's a breakdown of the steps to deploy:

    1. Import the Pulumi Kubernetes (@pulumi/kubernetes) module which provides the Kubernetes resources.
    2. Specify the necessary details for the NVIDIA Helm chart such as the release name, repository URL, and chart version.
    3. Use the kubernetes.helm.v3.Chart resource to deploy the Helm chart to your Kubernetes cluster.
    4. Optionally, adjust the values parameter to set any custom values you need for your chart. This works similarly to using a values.yaml file with helm commands.
    5. If you need the chart deployed to a specific Kubernetes namespace, specify it using the namespace parameter.
    6. Finally, export any desired outputs from the Helm chart deployment. This allows you to access information about the deployment from outside the Pulumi program.

    Before you run this Pulumi program, you must have Pulumi installed, as well as any credentials or kubeconfig files properly set up to interact with your Kubernetes cluster. Once everything is set up, you can run the Pulumi CLI commands to preview and apply the changes:

    pulumi up

    This command will orchestrate the deployment of the NVIDIA Helm chart to your Kubernetes cluster. After successful deployment, you can manage and interact with it using Pulumi or standard Kubernetes tools such as kubectl.