Session
Get the most out of your GPUs on Kubernetes with the GPU Operator
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.

Eduardo Arango Gutierrez
Senior Systems Software Engineer @NVIDIA
Landsberg am Lech, Germany
Links
Please note that Sessionize is not responsible for the accuracy or validity of the data provided by speakers. If you suspect this profile to be fake or spam, please let us know.
Jump to top