Kubeflow

Kubeflow is an open-source, cloud-native machine learning platform designed to make deployments of machine learning (ML) workflows on Kubernetes simple, portable, and scalable. It provides a comprehensive set of tools for building, training, tuning, deploying, and managing machine learning and generative AI models, supporting the entire ML lifecycle from experimentation to production. Kubeflow is modular and extensible, making it suitable for data scientists, ML engineers, and organizations aiming for seamless ML operations (MLOps) in a Kubernetes environment.