A workspace is a key concept in Machine Learning Platform for AI (PAI). You can use workspaces to manage computing resources and user permissions in a centralized manner. Workspaces provide AI developers with development tools for collaborative operations during the entire workflow of AI development and allow the developers to manage AI computing assets. Before you can use the features of PAI, you must activate PAI and create the default workspace. This topic describes how to activate PAI and create the default workspace.
Procedure
Result
- Activates PAI and the other selected services, such as OSS, MaxCompute, and DataWorks,
in the current region.
You can log on to the console of each service and check whether the service is activated in the region.
- Automatically creates the default workspace.
Workspaces that are created in the PAI console are connected to workspaces that are created in the DataWorks console at the underlying layer. You can separately log on to the PAI console and the DataWorks console to check whether the default workspace is created.
- Associates the default workspace with the pay-as-you-go MaxCompute resource group and the pay-as-you-go public resource group in Deep Learning Containers (DLC). The resource groups are used as the default computing resources.
- Assigns the algorithm developer role to all the RAM users that belong to the Alibaba
Cloud account. By default, the system assigns this role to the RAM users. After the
default workspace is created, we recommend that you go to the details page of the
default workspace and modify the roles of each workspace member. For more information,
see Modify the role of a member.
Note If MaxCompute resources are added when you activate PAI and create the default workspace, the system automatically assigns the MaxCompute Developer role to all RAM users that belong to the current Alibaba Cloud account.