Provisioning ML Workspaces
This topic describes how to provision ML workspaces.
- Log in to the CDP web interface at https://console.us-west-1.cdp.cloudera.com using your corporate credentials or any other credentials that you received from your CDP administrator.
- Click ML Workspaces.
- Fill out the following fields.
- Workspace Name - Give the ML workspace a name. For example, user1_dev.
- Environment - From the dropdown, select the environment where the ML workspaces must be provisioned. If you do not have any environments available to you in the dropdown, contact your CDP administrator to gain access.
- Switch the toggle to display Advanced Settings.
- CPU Settings - From the dropdown, select the CPU instance type (Small, Medium, or Large) and autoscale range to be assigned to the ML workspace.
- GPU Settings- From the dropdown, select the CPU
instance type (Small, Medium, or Large) and autoscale range to be
assigned to the ML workspace.
- Enable TLS - Select this checkbox if you want the workspace to use HTTPS for web communication.
- Enable public Internet access - When enabled, the CML workspace will be available on the public Internet. When disabled, it is assumed that connectivity is achieved through a corporate VPC.
- Tags - Tags added to cloud infrastructure,
compute, and storage resources associated with this CML
workspace.Note that these tags are propagated to your cloud service provider account. As an example, you can review how AWS tagging works here: AWS Tagging Strategies.
- Click Provision Service.
Note that the domain name for the provisioned workspace is randomly generated and cannot be changed.