This project aims to use self-hosted runners to run GPU-intensive tasks like LLM blueprint or (planned) AI Playground. The necessary infra is...

This project addresses the issue of fragmented tools within the Kubeflow ecosystem, specifically Elyra, Kale, and Jupyter Scheduler, which...

This project aims to enhance Kubeflow's security posture by implementing Istio CNI by default and providing an optional Ambient Mesh configuration....

Jupyter Notebooks provide a powerful, interactive environment widely used by data scientists and ML engineers for exploratory analysis,...

The KServe Models Web App is a crucial front-end interface for managing ML models deployed through KServe, a core component of Kubeflow. However, the...

This project aims to enhance Kubeflow’s infrastructure by productionizing the SeaweedFS proof of concept as a secure alternative to MinIO, improving...

The proposed project aims to bridge a critical gap in the Kubeflow ecosystem by introducing robust Helm-based deployment support. While Kustomize has...

This project implements key components of KEP-2170, introducing the Kubeflow Training V2 API. Specifically, it focuses on creating the...

refer notion site for better view :...

This document outlines a proposal to support Volcano for gang-scheduling in Kubeflow Trainer, so as to provide users with more AI-specific scheduling...

Kubeflow Pipelines (KFP) currently only supports MySQL/MariaDB databases, creating a significant limitation for many organizations that standardize...