airunway-aks-setup

Setting up AI Runway on an AKS cluster involves cluster verification, controller and CRD installation, GPU compatibility assessment, and inference provider setup. The automated process concludes by guiding you through your first model deployment.

You can deploy a starter model on AKS without manual controller configuration by using an automated setup process. It installs the AI Runway controller and CRDs, configures the inference provider, and guides your first model deployment.

Yes, kubectl, make, and curl are required dependencies for AI Runway setup on Azure Kubernetes Service. These tools execute the cluster operations, run automation scripts, and verify cluster connectivity.

GPU compatibility assessment for AI inference on AKS matches your detected hardware to known GPU profiles. This process surfaces hardware compatibility constraints to ensure your cluster supports the target inference workloads.

The best way to configure an inference provider on AKS is using an automated setup that recommends and installs the appropriate provider based on assessed GPU profiles. This ensures provider alignment with your hardware compatibility for model deployment.