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[Feature]: Streamline AMD GPU Operator Deployment into a Single-Step Workflow #226

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@fabianokteixeira

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@fabianokteixeira

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The current AMD GPU Operator deployment process involves multiple manual steps—installing cert-manager via Helm, deploying the GPU Operator via Helm, and then applying the DeviceConfig with kubectl. This multi-step approach increases operational complexity and the chance of misconfiguration, especially since the Operator depends on the DeviceConfig to function properly.

Simplifying the deployment into a single streamlined workflow would significantly reduce overhead and improve the user experience. By consolidating these steps into one cohesive process, the deployment becomes more efficient, less error-prone, and easier to maintain. This would enable customers to get the GPU Operator up and running faster, with minimal manual intervention, ultimately enhancing productivity and satisfaction.

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