After you create a workspace, you can view the details of the workspace and manage the workspace. For example, you can modify the description and computing resources of the workspace, set the temporary storage paths for the workspace, specify the retention period of temporary tables in the workspace, and manage members of the workspace. This topic describes how to manage a workspace.
Only the administrator or owner of a workspace is allowed to manage the settings of the workspace.
View the details of a workspace
Log on to the Machine Learning Platform for AI console.
In the left-side navigation pane, click Workspaces. On the Workspaces page, click the name of the workspace that you want to manage.
On the right side of the Workspace Details page, view the details of the workspace.
Modify the description of the workspace
In the Details section of the Workspace Details page, click Modify next to Workspace Name.
In the Workspace Basic Configuration panel, modify the Description and click OK.Note
You can modify the description of an existing workspace, but not the name of the workspace.
Manage computing resources of the workspace
View the associated computing resources of the workspace
In the Details section of the Workspace page, click Resources next to Computing Resources.
In the Associated Resource Groups section of the Workspace Resource Configuration panel, you can view the associated resource groups, such as MaxCompute Resources, General Computing Resources, and Fully Managed Flink Resources. You can also view the detailed information about resource groups, such as Resource Quantity and Billing Method.
If no resource groups are associated with the workspace, an error may occur when you perform operations in Machine Learning Designer or on the Create Job page.
Associate computing resources with the workspace
In the Associated Resource Groups section of the Workspace Resource Configuration panel, follow the instructions shown in the following figure to associate resource groups that are created by the Alibaba Cloud account with the workspace. In this example, a MaxCompute resource group is associated.Important
You cannot disassociate an associated resource group. Contact your account manager to disassociate a resource group.
When you associate MaxCompute resources, pay-as-you-go GPU-accelerated computing is enabled by default. You can modify the settings based on your business requirements.
Use GPU resources
You can use GPU resources in scenarios in which you want to build models for audio, video, or text analysis training in Machine Learning Designer.
In the Associated Resource Groups section of the Workspace Resource Configuration panel, click the MaxCompute Resources tab.
Find the resource group for which you want to use GPU resources and click Modify in the Actions column.
In the Resource Settings dialog box, set the GPU parameter to Pay-as-you-go and click OK.
Set the temporary storage paths for the workspace
In the Details section of the Workspace Details page, click Settings next to Storage Settings.
In the Storage Settings panel, set the Workspace Default Storage parameter and click OK.Important
To develop algorithms in the workspace, make sure that you have the read and write permissions on the specified Object Storage Service (OSS) storage paths.
If you specify a temporary storage path for the workspace, you can use the temporary storage path for a pipeline that is created in Machine Learning Designer. If you specify another temporary storage path for the pipeline in Machine Learning Designer, the temporary storage path that you configure for the workspace becomes invalid.
Specify the retention period of temporary tables in the workspace
Temporary tables are generated in the workspace when you run components in Machine Learning Designer based on MaxCompute resource groups. To specify the retention period of temporary tables in the workspace, perform the following steps:
In the Details section of the Workspace Details page, click Settings next to Delete temporary table.
In the Delete temporary table dialog box, use one of the following methods to delete temporary tables:
Specify the retention period of temporary tables
Set the Retention Period (Day) parameter and click OK. The default retention period of temporary tables is 28 days. After the retention period of a temporary table expires, the system automatically deletes the temporary table.
Delete all temporary tables that are generated before the specified date in the workspace
Set the Delete Temporary Tables Before Following Date parameter and click Delete. The system automatically deletes all MaxCompute temporary tables that have a name prefix pai_temp_ and are generated before the specified date.
Manage members of the workspace
In the Members section on the Workspace Details page, you can view the members and roles of the workspace. You can also add or remove members, and modify the roles of the members. For more information, see Manage members of the workspace.