AKS AI Inference Roundup: The Model-Serving Stack

Sun, 20 Sep 2026 00:00:00 +0000

Serving an open-weight LLM on Azure Kubernetes Service used to mean stitching together Helm charts, node pools and a serving wrapper by hand. Microsoft’s airunway-aks-setup skill (v1.1.1, MIT, 337.0K installs, rank 174 on skills.sh) compresses that into six sequential steps from bare cluster to a model that answers curl — and it breaks a pattern I’ve tracked across the whole azure-skills pack: it uses zero MCP tools. I read its SKILL.md, all six step references, the GPU profile and model sizing guides, and the troubleshooting and PowerShell files, and pulled the leaderboard on 2026-09-20: weekly installs [16,865, 16,190, 15,950, 14,851, 13,299, 13,492, 12,000, 12,695], lockstep with the pack counter again. This roundup lines up the three skills that span the AKS AI path: azure-kubernetes for the cluster, airunway-aks-setup for the serving layer, azure-diagnostics for the post-deploy pain.

AI Inference on Top AI Skills

AKS AI Inference Roundup: The Model-Serving Stack