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Explore GPU acceleration in Kubernetes without the hassle of managing device drivers in this 38-minute conference talk by Christopher Desiniotis from NVIDIA. Learn about the challenges of managing device drivers at scale for AI and ML workloads on Kubernetes, including disruptive upgrades and maintaining multiple driver versions. Discover an operator-based approach to seamlessly manage device drivers, minimizing application downtime and supporting varying hardware configurations. Gain insights into enabling hardware accelerators like GPUs for cloud-native computing and understand how to tackle Day 2 operations effectively. This talk, presented at a CNCF event, offers valuable knowledge for cluster administrators and developers working with GPU-accelerated workloads in Kubernetes environments.