Kubeflow Pipelines

Kubeflow Pipelines is a platform for building and deploying portable, scalable machine learning (ML) workflows based on Docker containers.

Quick Start Guide

We offer to flavors: Kubeflow pipelines based on Argo Workflows and based on TektonCD engine

#To install KF based on Argo Workflows
k3ai apply kubeflow-pipelines
#To install KF based on TektonCD
k3ai apply kf-pipelines-tekton

What is Kubeflow Pipelines?

The Kubeflow Pipelines platform consists of:

  • A user interface (UI) for managing and tracking experiments, jobs, and runs.

  • An engine for scheduling multi-step ML workflows.

  • An SDK for defining and manipulating pipelines and components.

  • Notebooks for interacting with the system using an SDK.

The following are the goals of Kubeflow Pipelines:

  • End-to-end orchestration: enabling and simplifying the orchestration of machine learning pipelines.

  • Easy experimentation: making it easy for you to try numerous ideas and techniques and manage your various trials/experiments.

  • Easy re-use: enabling you to re-use components and pipelines to quickly create end-to-end solutions without having to rebuild each time.

Learn more on the Kubeflow website: https://www.kubeflow.org/docs/pipelines/****