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README.md

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@@ -17,6 +17,57 @@ Note that the GPU Operator is specifically useful for scenarios where the Kubern
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## Product Documentation
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For information on platform support and getting started, visit the official documentation [repository](https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/overview.html).
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## Quick Start
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Make sure your k8s cluster meets the pre-requisites as listed in the platform support page:
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https://docs.nvidia.com/datacenter/cloud-native/gpu-operator/latest/platform-support.html
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Step1: Install Helm locally:
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```
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curl -fsSL -o get_helm.sh https://raw.githubusercontent.com/helm/helm/master/scripts/get-helm-3 \
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&& chmod 700 get_helm.sh \
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&& ./get_helm.sh
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```
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Step2: Deploy GPU operator:
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```
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helm install --wait --generate-name \
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-n gpu-operator --create-namespace \
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nvidia/gpu-operator \
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--version=v25.10.0
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```
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That's all.
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GPU Operator and its operands should be up and running as shown below:
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```
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gpu-operator gpu-feature-discovery-98x9m 1/1 Running 0 22h
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gpu-operator gpu-operator-1762903711-node-feature-discovery-gc-5c458899bbwpk 1/1 Running 0 22h
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gpu-operator gpu-operator-1762903711-node-feature-discovery-master-856b8tvqs 1/1 Running 0 22h
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gpu-operator gpu-operator-1762903711-node-feature-discovery-worker-m5jdr 1/1 Running 0 22h
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gpu-operator gpu-operator-5b685fc9c9-wntlj 1/1 Running 0 22h
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gpu-operator nvidia-container-toolkit-daemonset-c7c6f 1/1 Running 0 22h
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gpu-operator nvidia-cuda-validator-zt45l 0/1 Completed 0 22h
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gpu-operator nvidia-dcgm-exporter-px9hw 1/1 Running 0 22h
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gpu-operator nvidia-device-plugin-daemonset-cd4hp 1/1 Running 0 22h
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gpu-operator nvidia-driver-daemonset-xkqnp 1/1 Running 0 22h
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gpu-operator nvidia-mig-manager-jrthj 1/1 Running 0 22h
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gpu-operator nvidia-operator-validator-5kq7z 1/1 Running 0 22h
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```
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## Roadmap
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### High-level overview of the main priorities for 2026
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* Latest data center drivers
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* Latest NVIDIA GPU platforms
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* Heterogenous cluster (NVIDIADriver CR) from Tech Preview to GA mode
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* DRA integration
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* GPU Health Check
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* Confidential Containers
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* Scalability
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## Webinar
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[How to easily use GPUs on Kubernetes](https://info.nvidia.com/how-to-use-gpus-on-kubernetes-webinar.html)
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