#Introduction

Alauda support for Kubeflow provides a Kubernetes-native machine learning platform that enables users to build, deploy, and manage machine learning models at scale. It integrates with various components of the Kubeflow ecosystem, such as Kubeflow Pipelines for workflow orchestration, Kubeflow Training for training job management, and Kubeflow Model Registry for model versioning and management.

See Kubeflow Docs for more details about Kubeflow components and features.

**NOTE: ** You need to set the namespace PSA to privileged in order to use Kubeflow components. Please contact your cluster administrator to set the namespace PSA to privileged if you encounter permission issues when using Kubeflow components.