Billing details for watsonx.ai Studio tools

CUH consumption for notebooks

The rate of capacity unit hours consumed is determined for:

• Default Python or R environments by the hardware size and the number of users in a project using one or more runtimes.

  Formula:

  Hours/day × Days × Number of users × CUH rate = Total CUH
  Total CUH × Service rate = Total charge
  

  Variables used for the calculation

  Variable	Description
  Hours/day	Number of hours per day each user actively runs a notebook runtime
  Days	Number of days in the billing period
  Number of users	Number of users with active runtimes in the project
  CUH rate	CUH per hour for the chosen environment (see table above)
  Service rate	Current per-CUH price (for example, $1.02 USD)

  Example: You have a project with 7 users working on notebooks 8 hours a day, 5 days a week. All users use the IBM Runtime 24.1 on Python 3.10 XS environment (2 vCPU, 8 GB RAM — CUH rate: 1), and everyone shuts down their runtimes at the end of the day.

  8 hours/day × 5 days × 7 users × 1 CUH = 280 CUH per week
  280 CUH × $1.02 = $285.60 per week
  

  The CUH calculation becomes more complex when different environments are used in the same project, when users have multiple active runtimes, or when notebooks are scheduled to run during off-hours or as long-running jobs because each active runtime consumes its own CUH.

• Default Spark environments by the hardware configuration size of the driver, and the number of executors and their size.

  What are executors? In a Spark environment, the driver manages the overall execution of the Spark application (task scheduling and cluster communication), while executors are distributed worker processes that run the actual data-processing tasks in parallel. Each Spark environment template starts with one driver and one executor; you can add more executors to increase parallelism.

  How the "CUH per additional executor" rate works: The CUH listed in the table is the baseline cost for the driver plus one executor. Each additional executor you add is charged at the "CUH per additional executor" rate shown in the same row.

  Formula:

  {: .codeblock}
  Total CUH = Base CUH + (Number of additional executors × CUH per additional executor)
  

  Example: Using Driver: 1 vCPU and 4 GB RAM; 1 Executor: 1 vCPU and 4 GB RAM (base CUH: 1, CUH per additional executor: 0.5):

  • 0 additional executors: 1 + (0 × 0.5) = 1 CUH
  • 1 additional executor: 1 + (1 × 0.5) = 1.5 CUH
  • 2 additional executors: 1 + (2 × 0.5) = 2 CUH

CUH consumption for notebooks with Decision Optimization

The rate of capacity unit hours consumed is determined by the hardware size and the price for Decision Optimization.

CUH consumption for notebooks with Watson Natural Language Processing

The rate of capacity unit hours consumed is determined by the hardware size and the price for Watson Natural Language Processing.

CUH consumption for Pipelines Bash script

Notes:

• The runtimes for Bash scripts stop automatically when processing is complete.
• Resource consumption is measured in seconds, with a minimum of 1 second. For example, if the execution time is 52.1 seconds, the charge is for 53 seconds.

CUH consumption for SPSS Modeler flows

When you open an SPSS Modeler flow in a project, you choose an environment template for the runtime environment. The environment template specifies the type, size, and power of the hardware configuration, plus the software template. SPSS Modeler consumes compute resources as CUH from the watsonx.ai Studio service in projects.

After selecting an environment, any other SPSS Modeler flows opened in that project will use the same runtime. The hardware configuration of the available SPSS Modeler environments is preset and cannot be changed.

How CUH is consumed

When you open an SPSS Modeler flow and the runtime initializes, some CUH is consumed. However, running flows consumes more CUH than building the flows. There is no charge for defining a deployment or deployment job for an SPSS Modeler flow. You do that outside of the SPSS Modeler runtime. But there is a charge for running a deployment job or inferencing against the deployed asset.

You can select any of the following default environment templates for SPSS Modeler in a project. The included environment templates are listed under Templates on the Environments page on the Manage tab of your project.

CUH consumption for Data Refinery and Data Refinery flows

The rate of capacity unit hours consumed is determined by the environment's hardware configuration, size of the driver, and the number of executors and their size.

CUH consumption for RStudio

CUH consumption for GPU environments

Learn more

• watsonx.ai Studio service plans
• Service plans on AWS
• For details on computing resource allocation and consumption, see watsonx.ai Studio environments compute usage.