> ## Documentation Index
> Fetch the complete documentation index at: https://anaconda.com/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# Installing Workbench

Data Science & AI Workbench can be installed on a variety of Kubernetes clusters, in addition to the [Gravity Kubernetes environment](https://goteleport.com/docs/) we have historically provided.

When installing the Gravity environment, you will initially install it onto a single control plane node. After completing this basic installation, you can [add or remove nodes](/docs/data-science/latest/admin/resources/gravity/add-remove-node) on the cluster as needed, including GPUs.

When installing into your own Kubernetes environment, these instructions assume that the cluster itself has already been provisioned. Our [BYOK8s installation instructions](/docs/data-science/latest/install/byok8s) provide you with the details you need to verify that the cluster meets the basic requirements dictated by Workbench, and to provision the storage and networking resources required to run this application.

If you want to use K3s, a lightweight version of Kubernetes, Anaconda provides instructions for [preparing a K3s environment](/docs/data-science/latest/environment-prep/k3s-prep) and [installing Workbench on K3s](/docs/data-science/latest/install/k3s). K3s reduces the number of dependencies and requirements needed to install a Kubernetes cluster while still providing the functionality needed to run Workbench effectively.