NVIDIA’s GPU operator has become the de-facto standard for managing GPUs in Kubernetes at scale. This tutorial provides in-depth, hands-on training on the various GPU sharing techniques that are possible with the GPU operator. Participants will learn to deploy jobs utilizing these sharing techniques, as well as get hands-on experience on the installation and configuration of the NVIDIA GPU Operator itself. This includes an in-depth exploration of its two primary CRDs: ClusterPolicy and NVIDIADriver. These CRDs are essential for configuring GPU-accelerated nodes, enabling GPU sharing mechanisms, and performing GPU driver upgrades. The session will culminate with practical use cases, such as training an AI/ML model and giving participants firsthand experience in managing a GPU-accelerated Kubernetes cluster.