k3s

The article outlines how to run AI workloads on lightweight K3s clusters for edge and lab setups. It covers installing K3s, enabling GPU/ARM nodes, storage with Longhorn, model serving via KServe, autoscaling with KEDA, GitOps CI/CD, and monitoring. Example projects include YOLO and LLM inference, with notes on performance, cost, and security trade-offs.