Workspaces are a similar concept to kubernetes namespaces since their main intention is to provide and shared environment across multiple users (or teams). Unlike kubernetes, kaos absolutely requires a workspace for all work. A workspace is ideally an environment for training a single "type" of model - for example mnist.
{% hint style="warning" %} A workspace consists of only a single dynamic train pipeline - a requirement to have full provenance while incrementally developing machine learning models. {% endhint %}
Workspaces can be shared by connecting to an existing workspace via kaos workspace set assuming the workspace has been first created (i.e. kaos workspace create).
{% hint style="info" %} It is not necessary to use multiple workspaces for a slightly different model! {% endhint %}