A platform team runs a Kubernetes cluster with GPU worker nodes for AI inference workloads. They are struggling to keep NVIDIA drivers, the container runtime, device plugin, and monitoring components consistent across nodes, especially when adding new GPU nodes or upgrading driver versions. Which NVIDIA solution is specifically designed to automate the deployment and lifecycle management of these GPU software components on Kubernetes?