Provisioning a workspace using a configured resource pool

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

Cloudera Machine Learning reserves 30 GB Memory and 20 CPU for the Cloudera Machine Learning Workspace installation.

The minimum requirement for a Cloudera Machine Learning Workspace 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 Machine Learning Workspace. Out of these resources, 20 cores and 30GBs will be used for Cloudera Machine Learning, 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 Machine Learning Workspaces or to Cloudera.