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Infrastructure and cloud

Kubeflow

The Machine Learning Toolkit for Kubernetes (AI)

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Participation history

4 GSoC years

2026202520242020

2026

9 projects

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OptimizationJob CRD for Hyperparameter Optimization in Kubeflow Katib

This project addresses limitations in Kubeflow Katib current Experiment CRD, which uses a generic and loosely typed interface for hyperparameter...

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Project 5: Helm Charts for Kubeflow Pipelines and Katib — Danish Siddiqui

KFP and Katib users deploying via Helm currently have no upstream-supported path — charts exist but drift from Kustomize baselines silently, with no...

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Project 6: MCP Server for Kubeflow SDK

The Kubeflow SDK gives AI practitioners a clean Python interface to submit, monitor, and manage distributed training jobs on Kubernetes via...

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Agentic RAG on Kubeflow — Multi-Index Retrieval with Kagent & MCP

Kubeflow's documentation, GitHub issues, and platform code are spread across dozens of repositories with no unified search. This project evolves...

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Kubeflow SDK/SparkClient - Batch Jobs, Observability & Production Readiness

The current Kubeflow SparkClient (KEP-107) provides a solid foundation for running interactive Spark workloads on Kubernetes, but it is still missing...

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Platform Scalability and Security

Kubeflow's adoption at enterprise scale exposes critical bottlenecks in controller efficiency, security posture, and operational overhead. This...

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End-to-End ARM64 Support & Validation on Kubeflow

ARM64 is becoming increasingly common with the rise of Apple Silicon and cloud instances like AWS Graviton, but Kubeflow still doesn’t run...

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Project 11 - Composable Kale Notebooks with Visual Pipeline Editor

Kale compiles a single Jupyter notebook into a Kubeflow Pipeline by parsing cell tags, detecting data dependencies with PyFlakes, and generating KFP...

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Dynamic LLM Trainer Framework for Kubeflow — TRL Backend with Pluggable Multi-Framework Support

Kubeflow Trainer V2 currently supports only TorchTune as its LLM fine-tuning backend. TorchTune stopped adding new features in July 2025, leaving...

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2025

11 projects

Official year page

Project 7: GPU Testing for LLM Blueprints

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

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Project 5: JupyterLab Plugin for Kubeflow

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

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Project3: Istio CNI and Ambient Mesh for Secure Kubeflow Deployments

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

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Batch Processing Gateway Integration

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

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Project 2: Kserve Models Web App

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...

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Project 1: Kubeflow Platform Enhancements

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

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Deploying Kubeflow with Helm

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

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Project 8: Support JAX and TensorFlow Training Runtimes

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

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Project 12: Empowering Kubeflow Documentation with LLMs

refer notion site for better view :...

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Project 10: Support Volcano Scheduler in Kubeflow Trainer

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

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Project 11: Support Postgres for Kubeflow Pipelines Backend

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

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2024

8 projects

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Push-based Metrics Collection for Katib (Project 6)

The project aims to provide a Python SDK API interface for users to push metrics to Katib DB directly. The current implementation of Metrics...

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Automated Documentation Generation for Kubeflow Python SDKs Project Proposal

This proposal aims to automate the generation of comprehensive documentation for Kubeflow Python SDKs, specifically focusing on the Training Operator...

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(Project Proposal) Project 8: Support various parameter distributions like log-uniform in Katib

The goal of this project is to enhance the Katib Experiment APIs to support various parameter distributions such as uniform, log-uniform, and...

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Integrate JAX with Kubeflow Training Operator

The machine learning (ML) community is continually seeking ways to streamline the process of training and deploying models. JAX, with its...

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Kubeflow Notebooks 2.0

This proposal aims to introduce a new Kubernetes controller for Kubeflow Notebooks. The implementation of this project will significantly enhance the...

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LLM Hyperparameters Tuning API Proposal (Project 4)

This proposal aims to address the challenge of tuning hyperparameters for Large Language Models (LLMs) by developing a user-friendly high-level API....

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Triage and Categorize Kubeflow GitHub Issues & PRs

The main goal of the project is to find a solution to categorize issues and PRs in the Kubeflow Github repository. There are a lot of issues and PRs...

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Rootless Kubeflow Container Images(Istio Ambient Mesh)

My proposal aims to test and integrate the featues of Istio-CNI and Kubernetes' Pod Security Standards that are require to run Kubeflow rootless as...

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2020

2 projects

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Build a UI to Deploy Managed Tensorboard Instances with Support for PVCs

Many Data Scientists have their data saved in a PersistentVolumeClaim accessed by their Notebooks. So it would be helpful and greatly improve...

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Create a sample for notebook to Kubeflow deployment using TensorFlow 2.0 Keras

Kubernetes is already an industry-standard in managing cloud resources. Kubeflow is on its path to become an industry standard in managing machine...

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