Kubeflow is an open-source platform designed to facilitate the deployment, orchestration, and scaling of machine learning workflows on Kubernetes. It aims to make it easier for data scientists and ML engineers to build, deploy, and manage complex machine learning models at scale by providing a suite of tools that encompass various stages of the ML lifecycle, including data preparation, model training, tuning, and serving. Kubeflow leverages the capabilities of Kubernetes to offer reliable and reproducible workflows and can integrate with diverse cloud providers and on-premise infrastructure.