V11.1.2¶
September 26, 2025
The DataRobot Self-Managed AI Platform v11.1.2 release, part of DataRobot's continual effort to secure the product and platform, addresses issues reported in earlier releases. See also the features introduced in v11.1.0, released July 17, 2025.
Issues fixed in V11.1.2:¶
The following issues have been fixed since release v11.1.1:
Applications¶
- APP-4672: Fixes an 'Invalid Authentication Header' error with QA applications that were created after Scoped tokens were introduced.
Data¶
- DM-18970: Fixes an issue where if a user with limited access to a dataset added it to a Use Case, some use case members who should have access to the dataset did not.
Generative AI¶
- BUZZOK-26336: Improves VDB creation performance.
- BUZZOK-26913: Allows deployments shared by a group to be used as a deployed LLM in a shared playground.
- BUZZOK-26732: Fixes an issue with setting a custom LLM validation ID when using the LLM gateway.
Modeling¶
- MODEL-15589: Fixes an issue where SHAP insights would fail on some time series models due to the wrong handling of row indexes when many series, backtests, and/or forecast distances were used.
- MODEL-20057: Fixes an issue that caused full Autopilot to not progress to the 64% stage; instead it would get stuck at 32%.
- MODEL-20156: Improves handling of PDF image parsing error and runtime error in the OCR service. Now when the input PDF contains unsupported images, an error message is saved to the error report and the PDF input is returned as is. This also fixes issues where the service was unable to handle images shared across pages.
- MODEL-20435: Fixes an issue where the creation of a segmentation model did not progress.
Model management¶
- MMM-20135: Fixes the challenger accuracy calculation for time series models without an autogenerated association ID.
- CODEGEN-2041: Fixes generating Scoring Code for feature lists that include a feature duration transformation.
- PRED-11767: Fixes a UI issue where a lack of access to a registered model incorrectly enabled the Batch Prediction tab on the Predictions page for a NIM deployment.
Platform¶
- CMPT-2624: Fixes an issue around dedicated node groups on AWS that may have caused compute workers to fail. Now, required node affinity rules for kubeworkers (dr-jobs) are duplicated in node selectors.
- CMPT-3612: Fixes an issue that blocked pods from launching by making configuration of
configuring SecurityContextConstraintsin OpenShift optional and customizable for Kubernetes roles used by DataRobot. This avoids adding security related annotations to imageBuilder pods when it's configured to run in unprivileged mode.
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