Choosing compute resources for running tools in projects
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.
Environments
You run assets and create jobs in a runtime. The runtime details are specified by an environment template.
Environment templates specify the hardware and software configuration of the runtimes:
- The hardware configuration specifies the amount of processing power and available RAM.
- The software configuration specifies the programming languages, a set of preinstalled libraries, and optional libraries or packages that you can specify.
Included environment templates
You can use the included environment templates to quickly get started, without having to create your own environment templates. The included environment templates are listed on the project's Environments page.
Library packages that are included in Runtimes
For specific versions of popular data science library packages that are included in watsonx.ai Studio runtimes refer to these tables:
| Library | Runtime 25.1 on Python 3.12 |
|---|---|
| Keras | 3.9 |
| Lale | 0.9 |
| LightGBM | 4.5 |
| NumPy | 2.0 |
| ONNX | 1.17 |
| ONNX Runtime | 1.21 |
| OpenCV | 4.10 |
| pandas | 2.2 |
| PyArrow |
|
| PyTorch | 2.6 |
| scikit-learn | 1.6 |
| SciPy | 1.15 |
| SnapML | 1.16 |
| TensorFlow | 2.18 |
| XGBoost | 2.1 |
Getting started
The following table lists the environment templates by asset type.
| Asset | Programming language | Tool | Environment template type | Available environment templates/compute resources |
|---|---|---|---|---|
| Jupyter notebook | Python | notebook editor | Spark | Spark environments |
| Jupyter notebook | Python | notebook editor | Spark | Hadoop cluster |
Changing the environment runtime for a tool
For tools that support multiple runtime environments, you can select a larger environment runtime if you notice that processing is slow.
To change an environment runtime:
- Save any data from your current session before switching to another environment.
- Stop the active runtime under Tool runtimes on the Environments page on the Manage tab of your project.
- Restart the tool and select another environment with the compute power and memory capacity that better meets your requirements.