Linux / amd64
NVIDIA GPU Operator manages NVIDIA GPU resources in a Kubernetes cluster and automates tasks related to bootstrapping GPU nodes. Since the GPU is a special resource in the cluster, it requires a few components to be installed before application workloads can be deployed onto the GPU. These components include the NVIDIA drivers (to enable CUDA), Kubernetes device plugin, container runtime and others such as automatic node labelling, monitoring and more.
The Validator for NVIDIA GPU Operator runs as a Daemonset and ensures that all components are working as expected on all GPU nodes. It runs through a series of validations via InitContainers for each component and writes out a status file under /run/nvidia/validations. These status files allow each component to verify their dependencies and to start in correct order.
The Validator for NVIDIA GPU Operator container is designed for use with the NVIDIA GPU Operator only. Please use the CUDA Samples container to validate functionality of CUDA programs.
For information on platform support and getting started, visit the official documentation repository.
This container is licensed under Apache 2.0.