Architecture

This guide introduces Kubeflow as a platform for developing and deploying a machine learning (ML) system. Kubeflow is a platform for data scientists who want to build and experiment with ML pipelines. Kubeflow is also for ML engineers and operational teams who want to deploy ML systems to various environments for development, testing, and production-level serving. Kubeflow is the ML toolkit for Kubernetes. Kubeflow builds on Kubernetes as a system for deploying, scaling, and managing complex systems.