Every AI cluster running on Kubernetes requires a full software stack that works together, from low-level driver and kernel settings to high-level operator and workload configurations. You get one cluster working, and spend days getting the next one to match. Upgrade a component, and something else breaks. Move to a new cloud and start over. AI Cluster Runtime is a new open-source project designed to remove cluster configuration from the critical path. It publishes optimized, validated, and reproducible Kubernetes configurations as recipes you can deploy onto your clusters. How AI Cluster Runtime works To support GPU clusters across cloud and on-premises AI factories, NVIDIA validates specific combinations of drivers, runtimes, operators, kernel modules, and system settings for AI workloads. AI Cluster Runtime publishes those results as recipes. These version-locked YAML files capture which components were tested, the versions, and the configuration values, for a given environment.…