If you have GPU nodes in your cluster, this service allows data scientists to run notebooks and experiments that train compute-intensive machine learning models in Watson Studio analytics projects.
Data scientists must create a custom environment definition in each analytics project and specify GPU as the compute engine type and Python 3.6 as the software configuration. The experiment builder tool that is provided by the Watson Machine Learning service requires GPU environments.
|Watson Studio||Prepare, analyze, and model data in a collaborative environment wth tools for data scientists, developers, and domain experts.|
|Anaconda Repository for IBM Cloud Pak for Data||Control and administer the repository of software packages that data scientists use in Jupyter notebooks.|
|Watson Machine Learning||Build, train, and deploy machine learning models with a full range of tools.|