Cloudera Docs

May 20, 2025

Release notes and fixed issues for version 2.0.50-b68.

New Features / Improvements

Cloudera AI Workbench
  • AI Studios (Technical Preview): Cloudera AI Studios is a comprehensive suite of low-code tools designed to simplify the development, customization, and deployment of generative AI solutions within enterprises. This suite empowers organizations to operationalize AI workflows quickly and efficiently by leveraging real-time enterprise data. For more information, see Managing AI Studios.
  • Added APIs within the workbench to list Cloudera AI Inference service applications and their associated model endpoints.
Cloudera AI Platform
  • Added Azure UDR support for Cloudera AI Inference service.
  • Added Azure NTP support.
  • Added API support to retry the creation of Cloudera AI Inference service application upon failure.
Cloudera AI Registry
  • Added a new set of models in the Model Hub, including Llama3.3, DeepSeek-R1-Distill-Llama, Starcorder2, Llama-Nemotron-Nano, NeMo-Retriever-Parse, Llama 3.2 Embedding, and Llama 3.2 Encoder models. To access these models, you must upgrade your Cloudera AI Registries.
  • Added support for nim-cli in the AI Registry to import the latest offerings from NVIDIA.
  • Enhanced troubleshooting by surfacing underlying issues encountered during AI Registry installation in the Event logs.
  • Provided the ability to upgrade the AI Registry directly through the UI, eliminating the reliance on the CLI.
  • Implemented automatic redirection to the model import status page whenever a new model import is triggered.
Cloudera AI Inference service
  • Users must upgrade their Cloudera AI Inference service applications to serve the latest optimized models from NVIDIA, including Llama3.3, DeepSeek-R1-Distill-Llama, Starcorder2, Llama-Nemotron-Nano, NeMo-Retriever-Parse, Llama 3.2 Embedding, and Llama 3.2 Encoder models.
  • Optimization profile details for deployed model endpoints are now surfaced in the UI for improved visibility.
  • A user-friendly warning message will now be displayed when replicas of a deployed model scale down.
  • Added an option in the UI to retry the creation of Cloudera AI Inference service applications.
  • Users will be automatically redirected to the model endpoint page upon triggering the deployment of a new endpoint.
  • Enhanced the UI with a variety of user-friendly tooltips for better usability.
  • The metrics page for model endpoints will now refresh automatically every 15 seconds for real-time updates.
  • GPU count is now auto-selected for NIM profiles when deploying a model endpoint.
  • Ensured that dangling pods of deleted endpoints are immediately terminated, preventing them from being left for garbage collection cleanup.

Fixed Issues

Cloudera AI Workbench
  • Resolved an issue where duplicate machine user CRNs were preventing the catalog page backup from loading. (DSE-43729)
  • Fixed an invalid error issue in the Cloudera AI Registry search filter within the workbench. (DSE-44401)
Cloudera AI Platform
  • Resolved the issues causing failures during the retry of upgrade operations. (DSE-44761)
  • Resolved an issue where team synchronization was removing all collaborators for a project created with LDAP team when a member was removed from the UMS group mapped to that LDAP team. (DSE-43524)
Cloudera AI Inference service
  • Resolved an issue causing the deletion of the incorrect node group from the Cloudera AI Inference service UI. (DSE-44981)
  • Resolved an issue preventing the import of older models like Mixtral due to compatibility constraints. (DSE-44972)