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+++ title = "Getting Started with Kubeflow" description = "Get your machine-learning workflow up and running on Kubeflow" weight = 1 +++

There are various ways to install Kubeflow. Choose one of the following options to suit your environment (cloud, on premises (on prem), or local):

  • To use Kubeflow on Google Cloud Platform (GCP) and Kubernetes Engine (GKE), follow the GCP deployment guide.

  • To use Kubeflow on Amazon Web Services (AWS), follow the AWS deployment guide.

  • If you have an existing Kubernetes cluster or want to use Kubeflow on prem, follow the guide to deploying Kubeflow on Kubernetes.

  • If you want to run Kubernetes locally in a virtual machine (VM), choose one of the following options:

    • MiniKF setup

      • MiniKF is a fast and easy way to get started with Kubeflow.
      • It installs with just two commands and then you are up for experimentation, and for running complete Kubeflow Pipelines.
      • MiniKF runs on all major operating systems (Linux, macOS, Windows).

    • Minikube setup

      • Minikube uses virtualization applications like VirtualBox or VMware Fusion to host the VM and provides a CLI that you can use outside the VM.
      • Minikube defines a fully-baked ISO image that contains a minimal operating system and Kubernetes already installed.
      • This option may be useful if you are just starting to learn and already have one of the virtualization applications installed.

    • MicroK8s setup

      • MicroK8s can provide the following benefits:
        • A small, fast, secure, single node Kubernetes installation that installs on any Linux system as a snap.
        • Strong isolation and update semantics - your cluster is updated within a short period after upstream Kubernetes releases.
        • Built-in support to enable an installed GPU: microk8s.enable gpu
      • MicroK8s requires Linux. If you are not on a Linux machine, or you want to confine your Kubeflow to a disposable machine, the installation guide show you how to use Multipass to launch a VM. Benefits include:

Troubleshooting

See the Kubeflow troubleshooting guide.

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