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/airunway-aks-setup

@b3c238e
by microsoftmicrosoft/skills3.1k stars
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Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. WHEN: "setup AI Runway", "onboard AKS cluster", "install AI Runway", "airunway setup", "deploy model to AKS", "GPU inference on AKS", "KAITO setup on AKS", "run LLM on AKS", "vLLM on AKS", "set up model serving on AKS", "AI Runway controller".

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Use this Skill: https://skilld.dev/gh/microsoft/skills/airunway-aks-setup

This session only. Nothing lands on disk.

referencesstepsstep-2-controller.md

≈269 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Step 2 — Controller Status & Installation

Goal: Ensure the AI Runway controller and CRDs are installed and healthy.

# Check CRD presence
kubectl get crd modeldeployments.airunway.ai

# Check controller pod health
kubectl get pods -n airunway-system -l control-plane=controller-manager

If already installed and healthy: Report version and pod status, skip to Step 3.

If not installed: Ask user to confirm, then from the repository root run:

make controller-install   # Install CRDs
make controller-deploy    # Deploy controller manager

Note: make targets must be run from the AI Runway repository root.

Verify rollout:

kubectl rollout status deployment/airunway-controller-manager -n airunway-system --timeout=120s

Error handling:

  • CrashLoopBackOff → kubectl logs -n airunway-system -l control-plane=controller-manager --previous
  • Rollout timeout → kubectl describe deployment airunway-controller-manager -n airunway-system
  • No rule to make target → Navigate to repo root and retry

Source: SKILL.md on GitHub

Third-party checks

No alerts15d3 checks · Risk SAFE
  • Gen Agent Trust Hub15d

    This skill provides a structured walkthrough for setting up AI Runway on Azure Kubernetes Service (AKS). It includes cluster verification, controller installation, hardware assessment, and model deployment using standard tools like kubectl and make. The skill follows secure practices for handling HuggingFace tokens and manages infrastructure transparently within the user's provided Kubernetes context.

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  • Snyk15d

    Risk: LOW · No issues

Provenance

Signed by skilld at b3c238e. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 20 hours ago.

Activeupdated 2 months ago

Capability

metadata
{
  "author": "Microsoft",
  "version": "1.1.1"
}
argument-hint
[skip-to-step N]

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