New, lightweight and customizable Cloudera ML Runtimes are now generally 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.
This initial release ships with Python 3.6, 3.7, and 3.8 Runtimes as well as both the Workbench editor and with JupyterLab (Tech Preview). New Runtime options will soon follow!
To learn more about our vision and roadmap read the Announcement blog post.
Also in these releases:
CDP Machine Learning:
As always, we welcome your feedback. Please send your comments and suggestions on our community forums.