Provisioning a workbench

Configuring the quota for a specified workbench requires additional configuration settings besides provisioning the workbench for Quota Management.

Cloudera AI reserves 50 GB Memory and 50 CPU for the Cloudera AI Workbench installation.

The minimum requirement for a Cloudera AI Workbench to be provisioned is 58 GB of Memory and 52 CPU.

During the provisioning of the workbench, a service pool, named root.env-name.cml is created within the environment you selected while provisioning the workbench.

The service pool does not have a quota assigned by default. You are required to update the quota for the service pool through the Resource Utilization page.

In this example out of 100 Cores and 100 GB, 50 Cores and 50 GB will be reserved for the Cloudera AI Workbench.

Out of these resources, 50 cores and 50 GBs will be used for Cloudera AI, while 2 cores and 8 GBs are available to run workloads.

The rest of the resources is available in root.default.cml resource pool and can be allocated to other Cloudera AI Workbenches or to Cloudera.