New, lightweight and customizable Cloudera ML Runtimes are now available in CDP Machine Learning and Cloudera Data Science Workbench 1.9. ML Runtimes have been rebuilt from the ground up to enable greater flexibility in frameworks, processing, and IDEs — powering customizable lightweight deployments without over encumbering the runtime profile. The new profiles are designed to meet the diverse needs of Data Scientists by enabling a variety of ML Runtimes natively and eliminating sizing and versatility issues with previous Cloudera Engine profiles.
ML Runtimes with version 2020-02 offer support for Python 3.6, 3.7, and 3.8 with both the Workbench editor and with JupyterLab (GA). All of these runtimes are offered as NVIDIA GPU edition with out-of-the-box GPU acceleration.
New R 3.6 and 4.0 Runtimes are also available with the Workbench editor.
To learn more about our vision and roadmap read the Announcement blog post.
As always, we welcome your feedback. Please send your comments and suggestions on our community forums.
