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/airunway-aks-setup

@b3c238e
by microsoftmicrosoft/skills3.1k stars
351

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".

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

This session only. Nothing lands on disk.

referencestroubleshooting.md

≈392 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Troubleshooting & Rollback

Error Handling

Error / Symptom Likely Cause Remediation
No kubeconfig context Not connected to a cluster Run az aks get-credentials or equivalent
make: *** No rule to make target Not in AI Runway repo root cd to repo root and retry
Controller in CrashLoopBackOff Config or RBAC issue kubectl logs -n airunway-system -l control-plane=controller-manager --previous
Provider not ready Image pull or RBAC issue kubectl describe pod for the provider pod
ModelDeployment stuck in Pending GPU scheduling failure or provider not ready kubectl describe modeldeployment events
Pod shows ImagePullBackOff Wrong image reference or missing pull secret kubectl describe pod for the model pod
401 from HuggingFace at model load Gated model, token secret not wired into CR Ensure huggingFaceTokenSecretRef is set in the CR
bfloat16 errors at inference T4 or V100 lacks bfloat16 support Add --dtype float16 to serving args

Rollback

If a step fails and you need to undo a partial setup, work backwards through the steps:

What to undo Command
Model deployment kubectl delete modeldeployment <model-name> -n <namespace>
HuggingFace token secret kubectl delete secret hf-token -n <namespace>
Provider cd providers/<provider> && make undeploy (from repo root)
Controller make controller-undeploy && make controller-uninstall (from repo root)

Source: SKILL.md on GitHub

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.

  • Socket15d

    No alerts

  • Snyk15d

    Risk: LOW · No issues

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 19 hours ago.

Activeupdated 2 months ago
metadata
{
  "author": "Microsoft",
  "version": "1.1.1"
}
argument-hint
[skip-to-step N]

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