diff --git a/.github/workflows/stale.yaml b/.github/workflows/stale.yaml index 2feb53351..219bdd586 100644 --- a/.github/workflows/stale.yaml +++ b/.github/workflows/stale.yaml @@ -1,4 +1,4 @@ -name: Stale issues and pull requests +name: Stale issues on: workflow_dispatch: @@ -10,22 +10,16 @@ jobs: permissions: actions: write issues: write - pull-requests: write runs-on: ubuntu-latest steps: - uses: actions/stale@v10 with: stale-issue-message: 'This issue is stale because it has been open 90 days with no activity. This issue will be closed in 30 days unless new comments are made or the stale label is removed. To skip these checks, apply the "lifecycle/frozen" label.' - stale-pr-message: 'This PR is stale because it has been open 90 days with no activity. This PR will be closed in 30 days unless new comments are made or the stale label is removed. To skip these checks, apply the "lifecycle/frozen" label.' stale-issue-label: 'lifecycle/stale' - stale-pr-label: 'lifecycle/stale' - exempt-issue-labels: 'lifecycle/frozen' - exempt-pr-labels: 'lifecycle/frozen' + exempt-issue-labels: 'lifecycle/frozen,feature,enhancement' days-before-stale: 90 close-issue-message: 'This issue was automatically closed due to inactivity.' - close-pr-message: 'This pull request was automatically closed due to inactivity.' days-before-issue-close: 30 - days-before-pr-close: 30 remove-stale-when-updated: true operations-per-run: 1000 diff --git a/README.md b/README.md index 54b45bb54..9affc8324 100644 --- a/README.md +++ b/README.md @@ -46,6 +46,46 @@ To deploy the GPU Operator on OpenShift, follow the instructions in the [officia ## Product Documentation For information on platform support and getting started, visit the official documentation [repository](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/overview.html). +## Quick Start + +Make sure your k8s cluster meets the pre-requisites as listed in the platform support page: + +https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/platform-support.html + + +Step1: Install Helm locally: +``` +curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 \ + && chmod 700 get_helm.sh \ + && ./get_helm.sh +``` + + +Step2: Deploy GPU operator: +``` +helm install --wait --generate-name \ + -n gpu-operator --create-namespace \ + nvidia/gpu-operator \ + --version=v25.10.0 +``` + +That's all. + +GPU Operator and its operands should be up and running as shown below: +``` +gpu-operator gpu-feature-discovery-98x9m 1/1 Running 0 22h +gpu-operator gpu-operator-1762903711-node-feature-discovery-gc-5c458899bbwpk 1/1 Running 0 22h +gpu-operator gpu-operator-1762903711-node-feature-discovery-master-856b8tvqs 1/1 Running 0 22h +gpu-operator gpu-operator-1762903711-node-feature-discovery-worker-m5jdr 1/1 Running 0 22h +gpu-operator gpu-operator-5b685fc9c9-wntlj 1/1 Running 0 22h +gpu-operator nvidia-container-toolkit-daemonset-c7c6f 1/1 Running 0 22h +gpu-operator nvidia-cuda-validator-zt45l 0/1 Completed 0 22h +gpu-operator nvidia-dcgm-exporter-px9hw 1/1 Running 0 22h +gpu-operator nvidia-device-plugin-daemonset-cd4hp 1/1 Running 0 22h +gpu-operator nvidia-driver-daemonset-xkqnp 1/1 Running 0 22h +gpu-operator nvidia-mig-manager-jrthj 1/1 Running 0 22h +gpu-operator nvidia-operator-validator-5kq7z 1/1 Running 0 22h +``` ## Roadmap