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Distributed AI Model Training and LLM Fine-Tuning on Kubernetes

Machine Learning Toolkit for Kubernetes

Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

Information about the Kubeflow community including proposals and governance information.

Kubeflow Website

Machine Learning Pipelines for Kubeflow

A CLI for Kubeflow.

Kubeflow’s superfood for Data Scientists

KubeFlow on AWS

Model Registry provides a single pane of glass for ML model developers to index and manage models, versions, and ML artifacts metadata. It fills a gap between model experimentation and production activities. It provides a central interface for all stakeholders in the MLOps lifecycle to collaborate on ML models.

MCP Server and CLI for Apache Spark History Server. Debug Spark applications from AI agents, scripts, or the terminal.