Choosing compute resources for running tools in projects
Last updated: May 27, 2025
You use compute resources in projects when you run jobs and most tools. Depending on the tool, you might have a choice of compute resources for the runtime for the tool.
Compute resources are known as either environment templates or hardware and software specifications. In general, compute resources with larger hardware configurations incur larger usage costs.
These tools have multiple choices for configuring runtimes that you can choose from:
- Notebook editor
- Data Refinery
- SPSS Modeler
- AutoAI
- Decision Optimization experiment
- RStudio IDE
- Synthetic Data Generator
- Tuning Studio
Prompt Lab doesn't consume compute resources. Prompt Lab usage is measured by the number of processed tokens.
Learn more
Learn more
- Environment templates for the notebook editor
- Environment templates for JupyterLab
- Spark environment templates
- GPU environment templates
- Environment templates for RStudio
- Environment templates for Data Refinery
- Refinery data on the Hadoop cluster
- Creating environment templates
- Customizing environment templates
- Stopping active runtimes when no longer needed
Parent topic: Projects
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