Watson™ Studio Runtimes

Description

Data scientists can use Jupyter Notebook runtimes for Watson Studio to run notebooks and experiments that train compute-intensive machine learning models in Watson Studio analytics projects. Depending on the environment that you are using and the nodes in your cluster, use the following list to learn the runtimes that are available and the features that they provide.

Runtime 22.2 with Python 3.10

This runtime is installed by default with the Watson Studio service in Cloud Pak for Data 4.6. It provides compute environments for data scientists to run JupyterLab and Jupyter notebooks in the Python 3.10 coding language in Watson Studio analytics projects.

Runtime 22.1 with Python 3.9

This runtime provides compute environments for data scientists to run JupyterLab and Jupyter notebooks in the Python 3.9 coding language in Watson Studio analytics projects.

Runtime 22.2 with Python 3.10 with GPU

If you have GPU nodes in your cluster, data scientists can use this runtime to run Python 3.10 notebooks and experiments that train compute-intensive machine learning models in Watson Studio analytics projects.

Runtime 22.1 with Python 3.9 with GPU

If you have GPU nodes in your cluster, data scientists can use this runtime to run Python 3.9 notebooks and experiments that train compute-intensive machine learning models in Watson Studio analytics projects.

Runtime 22.2 on R 4.2

This runtime provides compute environments for data scientists to run Jupyter notebooks in the R 4.2 coding language in Watson Studio analytics projects.

Runtime 22.1 with R 3.6

This runtime provides compute environments for data scientists to run Jupyter notebooks in the R 3.6 coding language in Watson Studio analytics projects.