Provisioning a workbench using a configured resource pool

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

Cloudera AI reserves 30 GB Memory and 20 CPU for the Cloudera AI Workbench installation.

The minimum requirement for a Cloudera AI Workbench to be provisioned is 38 GB of Memory and 22 CPU.

In this example out of 50 Cores and 100 GB allocated for the resource pool root.default.cml, 22 Cores and 38 GB are reserved for the Cloudera AI Workbench. Out of these resources, 20 cores and 30GBs 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.