Kubeflow is a dedicated project aimed at simplifying, making portable, and scaling the deployment of machine learning workflows on Kubernetes. Instead of reinventing existing services, Kubeflow focuses on providing an uncomplicated method to deploy top-notch open-source ML systems across various infrastructures.
The platform offers Kubeflow Pipelines for constructing and deploying portable and scalable ML workflows seamlessly on Kubernetes. Additionally, Kubeflow Notebooks allows the execution of web-based development environments on Kubernetes clusters. The Kubeflow Central Dashboard serves as the central hub connecting authenticated web interfaces for Kubeflow and other ecosystem components, providing a unified and user-friendly experience for managing ML workflows.