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Pre-provisioned GPU: Install Kommander

Prerequisites

  • Ensure you have reviewed all Prerequisites for Install.

  • Ensure you have a default StorageClass.

  • Note down the name of the cluster, where you want to install Kommander. If you do not know it, use kubectl get clusters -A to display it.

Create your Kommander Installer Configuration File

  1. Set the environment variable for your cluster:

    CODE
    export CLUSTER_NAME=<your-management-cluster-name>
  2. Copy the kubeconfig file of your Management cluster to your local directory:

    CODE
    dkp get kubeconfig -c ${CLUSTER_NAME} >> ${CLUSTER_NAME}.conf
  3. Create a configuration file for the deployment:

    CODE
    dkp install kommander --init > kommander.yaml 
  4. Edit the installer file to include configuration overrides for the rook-ceph-cluster. DKP’s default configuration ships Ceph with PVC based storage which requires your CSI provider to support PVC with type volumeMode: Block. As this is not possible with the default local static provisioner, you can install Ceph in host storage mode.

    You can choose whether Ceph’s object storage daemon (osd) pods should consume all or just some of the devices on your nodes. Include one of the following Overrides:

    1. To automatically assign all raw storage devices on all nodes to the Ceph cluster:

      CODE
      rook-ceph-cluster:
          enabled: true
          values: |
            cephClusterSpec:
              storage:
                storageClassDeviceSets: []
                useAllDevices: true
                useAllNodes: true
                deviceFilter: "<<value>>"
    2. To assign specific storage devices on all nodes to the Ceph cluster:

      CODE
      rook-ceph-cluster:
          enabled: true
          values: |
            cephClusterSpec:
              storage:
                storageClassDeviceSets: []
                useAllNodes: true
                useAllDevices: false
                deviceFilter: "^sdb."

      (info) Note: If you want to assign specific devices to specific nodes using the deviceFilter option, refer to Specific Nodes and Devices. For general information on the deviceFilter value, refer to Storage Selection Settings.

  5. If required: Customize your kommander.yaml.
    (info) See Kommander Additional Install Configurations for customization options. Some of them include:
    Custom Domains and Certificates, HTTP proxy, External Load Balancer, GPU utilization, etc.

Enable GPU Resources

  1. In the same kommander.yaml file, enable Nvidia platform services.

    CODE
    apps:
      nvidia-gpu-operator:
       enabled: true
  2. Append the correct Toolkit version based on your OS:

    The NVIDIA Container Toolkit allows users to run GPU accelerated containers. The toolkit includes a container runtime library and utilities to automatically configure containers to leverage NVIDIA GPU and must be configured correctly according to your base operating system.

    Centos 7.9/RHEL 7.9:
    If you’re using Centos 7.9 or RHEL 7.9 as the base operating system for your GPU enabled nodes, set the toolkit.version parameter in your Kommander Installer Configuration file or <kommander.yaml> to the following:

    CODE
    kind: Installation
    apps:
      nvidia-gpu-operator:
       enabled: true
       values: |
         toolkit:
           version: v1.10.0-centos7

    RHEL 8.4/8.6 and SLES 15 SP3
    If you’re using RHEL 8.4/8.6 or SLES 15 SP3 as the base operating system for your GPU enabled nodes, set the toolkit.version parameter in your Kommander Installer Configuration file or <kommander.yaml> to the following:

    CODE
    kind: Installation
    apps:
      nvidia-gpu-operator:
       enabled: true
       values: |
         toolkit:
           version: v1.10.0-ubi8

    Ubuntu 18.04 and 20.04
    If you’re using Ubuntu 18.04 or 20.04 as the base operating system for your GPU enabled nodes, set the toolkit.version parameter in your Kommander Installer Configuration file or <kommander.yaml> to the following:

    CODE
    kind: Installation
    apps:
      nvidia-gpu-operator:
       enabled: true
       values: |
         toolkit:
           version: v1.11.0-ubuntu20.04

Enable DKP Catalog Applications and Install Kommander

If you have an Enterprise license and would like to use the DKP Catalog Applications function, follow these steps:

  1. In the same kommander.yaml of the previous section, add these values for dkp-catalog-applications:

    CODE
    apiVersion: config.kommander.mesosphere.io/v1alpha1
    kind: Installation
    catalog:
      repositories:
        - name: dkp-catalog-applications
          labels:
            kommander.d2iq.io/project-default-catalog-repository: "true"
            kommander.d2iq.io/workspace-default-catalog-repository: "true"
            kommander.d2iq.io/gitapps-gitrepository-type: "dkp"
          gitRepositorySpec:
            url: https://github.com/mesosphere/dkp-catalog-applications
            ref:
              tag: v2.5.0

    (warning) If you only want to enable catalog applications to an existing configuration, add these values to an existing installer configuration file to maintain your Management cluster’s settings.

  2. Use the customized kommander.yaml to install DKP:

    CODE
    dkp install kommander --installer-config kommander.yaml --kubeconfig=${CLUSTER_NAME}.co

If your environment uses HTTP/HTTPS proxies, you must include the flags --http-proxy, --https-proxy, and --no-proxy and their related values in this command for it to be successful. More information is available in Configuring an HTTP/HTTPS Proxy.

Tips and recommendations

  • The --kubeconfig=${CLUSTER_NAME}.conf flag ensures that you install Kommander on the correct cluster. For alternatives, see Provide Context for Commands with a kubeconfig File

  • Applications can take longer to deploy, and time out the installation. Add the --wait-timeout <time to wait> flag and specify a period of time (for example, 1h) to allocate more time to the deployment of applications.

  • If the Kommander installation fails, or you wish to reconfigure applications, rerun the install command to retry.

Next Step:

Pre-provisioned GPU: Verify Install and Log in to UI

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