The Watson Studio, Watson Knowledge Catalog, and Watson Machine Learning plans have restrictions or extra costs for certain types of resources, such as compute usage. If you are the IBM Cloud account owner or administrator, you can monitor the resources that can't be exceeded or that incur extra cost after the set limits.
For Lite plans, you cannot exceed the limits of the plan. You must wait until the start of your next billing month to use resources that are calculated monthly. Alternatively, you can upgrade to a paid plan.
For Watson Studio and Watson Knowledge Catalog paid plans, you are automatically billed extra when:
For Watson Machine Learning paid plans, you are automatically billed extra when:
To see the costs of your plan, log in to IBM Cloud, open your service instance from your IBM Cloud dashboard, and click Plan.
Compute usage is measured in capacity unit hours (CUH). A capacity unit hour is a specific amount of compute capability with a set cost. Different types of processes and different levels of compute power are billed at different rates of capacity units per hour. For example, the hourly rate for a data profiling process is 6 capacity units.
Compute usage for Watson Studio and Watson Knowledge Catalog is charged by the minute, with a minimum charge of 10 minutes (0.16 hours). Compute usage for Watson Machine Learning is charged by the minute with a minimum charge of one minute.
Compute usage is calculated by adding the minimum number of minutes billed for each process plus the number of minutes the process runs beyond the minimum minutes, then multiplying the total by the capacity unit rate for the process.
These examples show the resulting capacity unit hours consumed for data profiling processes that have a rate of 6 capacity units per hour:
Some types of processes, such as profiling, AutoAI and Federated Learning experiment builder, have a single compute rate for the runtime. However, with many tools you have a choice of compute resources for the runtime. The notebook editor, Data Refinery, SPSS Modeler and other tools have different rates that reflect the memory and compute power for the environment. Environments with more memory and compute power consume capacity unit hours at a higher rate.
You must be an IBM Cloud account owner or administrator to see resource usage information.
To see the monthly charges, the amount of CUH used, and the number of users for any service instance, go to the Cloud Usage Dashboard. For each instance, click Manage > Billing and Usage > Usage, click View Instances next to service name, and then click View instance next to instance name.
You can view the machine learning environment runtimes that are currently active in a project, and monitor compute usage for your machine learning assets from the project Environments page. From the Environments page, you can see the amount of CUH consumed and the remaining amount for the month.
For more information about CUH for Watson Knowledge Catalog, see the following:
To see the total amount of capacity unit hours used and remaining for Watson Studio, look at the Environment Runtimes page by choosing Administration > Environment runtimes. This page shows details of the CUH used by environments. You can calculate the amount of CUH you use for data flows and profiling by subtracting the amount used by environments from the total amount used.
To see the amount of CUH used and remaining for Watson Machine Learning, go to the Plan page for your Watson Machine Learning service instance in IBM Cloud. Open your Watson Machine Learning service instance from your IBM Cloud dashboard and click Plan.
This table shows how to view the compute usage by process.
| Tool or Process | Workspace | Service that provides CUH |
|---|---|---|
| Notebook editor | Project | Watson Studio; Analytics Engine (Spark) |
| Invoking WML API from a notebook | Project | Watson Machine Learning |
| Data Refinery | Project | Watson Studio or Watson Knowledge Catalog |
| DataStage flow editor | Project | DataStage |
| SPSS Modeler | Project | Watson Studio |
| RStudio IDE | Project | Watson Studio |
| Deep learning experiments | Project | Watson Machine Learning |
| Profiling | Project and Catalog | Watson Knowledge Catalog |
| Metadata enrichment | Project | Watson Knowledge Catalog |
| AutoAI experiments | Project | Watson Machine Learning |
| Decision Optimization experiments | Spaces | Watson Machine Learning |
| Running deployments | Spaces | Watson Machine Learning |
For Watson Studio, you can see the number of authorized users on the Authorized Users page in Watson Studio. Choose Administration > Authorized users. You adjust the number of authorized users as they change. You are automatically billed for users above the baseline number of users in your offering plan.
For Watson Knowledge Catalog, you can see the number of users by choosing Administration > Catalog management and clicking Access control. You are automatically billed for users above the set number in your offering plan.