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".
SkillScore95Maintained
Automatic
◆DevOps & SRE pack
Last verified 8/3/2026
What it changes
Passed 21 of 22 test cases with the skill, and 9 of 22 without it.
Without skill41%
With skill95%
Checks it passed that the model alone missed
Identifies kubectl, make, and curl as the required CLI utilities.
Lists KAITO, Dynamo, and KubeRay as the candidate inference providers.
Recommends or references KAITO, Dynamo, or KubeRay as valid inference providers.
and 11 more in the full report
12 fixed9 passed either way1 still failing0 broke
Pass-rate lift
+55 pp
Tokens
-2%
Agent turns
0%
Response time
-53%
Model gemini-3.6-flashMeasured 8/3/2026v121 of 22 cases passed with skill
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 12
Prompt
The control plane pod in the airunway-system namespace is stuck in CrashLoopBackOff after installation. What exact kubectl command inspects the logs of the failed previous container instance?
What was checked, without and with the skill
Checked
Without skill
With skill
Provides the command kubectl logs -n airunway-system -l control-plane=controller-manager --previous.
Missed
Passed
case-06 · gemini-3.6-flash · 8/3/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md63 lines5 files
AI Runway AKS Setup
This skill walks users from a bare Kubernetes cluster to a running AI model deployment. Follow each step in sequence unless the user provides skip-to-step N to resume from a specific phase.
Cost awareness: GPU node pools incur significant compute charges (A100-80GB can cost $3–5+/hr). Confirm the user understands cost implications before provisioning GPU resources.
Prerequisites
This skill assumes an AKS cluster already exists. If the user does not have a cluster, hand off to the azure-kubernetes skill first to provision one (with a GPU node pool unless CPU-only inference is acceptable), then return here.