Runtime 22.1 with Python 3.9 for GPU on Cloud Pak for Data

Description

If you have GPU nodes in your cluster, this runtime 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 3.9 as the software configuration. The experiment builder tool that is provided by the Watson Machine Learning service requires GPU environments.

Quick links

Install: Install the service
Upgrade: Upgrade the service
Use: Work with the service
Known issues: View limitations
Uninstall: Uninstall the service

Integrated services

Table 1. Prerequisite services. This service requires the following prerequisite services to be installed.
Service	Capability
Watson™ Studio	Prepare, analyze, and model data in a collaborative environment with tools for data scientists, developers, and domain experts.

Table 2. Related services. The following related services are often used with this service and provide complementary features, but they are not required.
Service	Capability
Watson Machine Learning	Build, train, and deploy machine learning models with a full range of tools.