MiniKF

A production-ready, full-fledged, local Kubeflow deployment that installs in minutes.

MiniKF is a fast and easy way to get started with Kubeflow. With just a few clicks, you are up for experimentation, and for running complete Kubeflow Pipelines.

To train at scale, move to a Kubeflow cloud deployment with one click, without having to rewrite anything.

Please see the official announcement and the rationale behind MiniKF.

Join the discussion on the #minikf Slack channel, ask questions, request features, and get support for MiniKF.

To join the Kubeflow Slack workspace, please request an invite.

System requirements

For a smooth experience we recommend that your system meets the following requirements:

• 12GB RAM
• 2 CPUs
• 50GB disk space

Operating systems

MiniKF runs on all major operating systems:

• Linux
• macOS
• Windows

Prerequisites

Before installing MiniKF, you need to have Vagrant and VirtualBox installed on your laptop.

• Install Vagrant
• Install Virtual Box

MiniKF installation

Open a terminal on your laptop, create a new directory, switch into it, and run the following commands to install MiniKF:

vagrant init arrikto/minikf
vagrant up

MiniKF will take a few minutes to boot. When this is done, navigate to http://10.10.10.10 and follow the on-screen instructions to start Kubeflow and Rok.

MiniKF upgrade

Here are step-by-step instructions for upgrading from a previous version:

1. Upgrade the MiniKF box to the latest version:

vagrant box update

2. Ensure you have updated to the latest version:

vagrant box list

3. Upgrade the vagrant-persistent-storage plugin to v0.0.47 or later:

vagrant plugin update vagrant-persistent-storage

4. Destroy the VM:

vagrant destroy

5. Remove all local state. This will remove all of your customization in MiniKF (notebooks, pipelines, Rok snapshots):
   • [Windows] del minikf-user-data.vdi
   • [Linux/macOS] rm minikf-user-data.vdi
6. Re-create your VM:

vagrant up

End-to-end example on MiniKF

Notebooks & Kubeflow Pipelines on the new MiniKF. Run an e2e ML pipeline following this tutorial.

Installation video

Here is a demo of installing MiniKF from scratch:

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