Deletion of course rooms of the winter semester 2022/23
In line with the life cylce of course rooms with connection to RWTHonline, the winter semester 2022/23 course rooms were deleted on November 4, 2025.
Release Notes Version 2.43.0
Improvements and bug fixes:
- Favorites can now be added as shortcuts
- Improved display information for cafeterias when they have multiple opening hours on the same day
- Various bug fixes
FAIR Digital Objects in Coscine
FAIR Digital Objects, or FDOs for short, are digital objects that are globally uniquely identified by a persistent identifier and are closely linked to metadata. FDOs were already available in Coscine, but they are now also visible in the web interface. Coscine assigns a handle-based ePIC-PID and a Kernel Information Profile to each project and resource. The FDO information can be displayed by resolving the PID of a project or resource. For more information, please refer to our documentation [4].
Updates on Migration to DataStorage.nrw
To date, around 1.5 PB of the total 2.5 PB of research data has been successfully migrated. The Coscine project with the largest storage space to date is currently undergoing migration. The project owners of the largest Coscine projects have already been contacted individually to agree on a suitable time for the migration. We currently expect the migration to be completed by the end of the year at the latest. Further information on the process can be found in our documentation.
Chat Export and New gpt-oss Models (v1.8.0)
Features:
- Support for new models:
- gpt-oss-120b and gpt-oss-20b
- Chat export function added
Bugfixes and Improvements:
- Improved display of formulas
- Document content is now sent to LLMs as a user message (previously system)
- Strict role sequence in prompts (no two consecutive messages with the same role)
- Improvements to timeouts and retries
- Various design optimizations
- The correct time period is now displayed when message limits are reached
- Title generation with Mistral Small now works correctly
- The sidebar can now be expanded and collapsed again
Chat Export and New gpt-oss Models (v1.8.0.)
Features:
- Support for new models:
- gpt-oss-120b and gpt-oss-20b
- Chat export function added
- [ADMIN] Admins can now see and use all user groups
Bugfixes and Improvements:
- Improved display of formulas
- Document content is now sent to LLMs as a user message (previously system)
- Strict role sequence in prompts (no two consecutive messages with the same role)
- Improvements to timeouts and retries
- Various design optimizations
- [ADMIN] Added soft delete function for deployments
- [ADMIN] Added translatable labels for user groups
- The correct time period is now displayed when message limits are reached
- Title generation with Mistral Small now works correctly
- The sidebar can now be expanded and collapsed again
Configuration of the Chat Routing
- A chat routing is now set up during availability hours
- When selecting the support chat function on the IT Center website, on IT Center Help, or in RWTHmoodle, users can now choose whether they would like to chat with Ritchy or with IT ServiceDesk staff
Source: IT Center Help
Release Notes Version 2.42.0
Improvements and bug fixes:
- Animations and behavior of pins on the maps have been adjusted
- Various bug fixes
Opencast: Upgrade to version 18
- various bug fixes and security fixes
- all Release Notes
New Project Limits
As you know, we operate our cluster in 1-cluster-concept. This also means that the system is supported by multiple funding sources with different budgets. The NHR share (Tier-2) is the largest. Unfortunately, the project quota for RWTH-s, RWTH-thesis and RWTH-lecture (Tier-3) in the machine learning segment (GPU partition) is currently overbooked. Therefore, the following changes will take effect immediately for all new project applications (already granted projects are not affected):
- RWTH-s projects: reduction of the maximum project size to 4000 GPU-h per project per year
- RWTH-lecture and -thesis projects: reduction of the maximum project size to 1500 GPU-h per project
In order to ensure that all users can still successfully carry out their research projects, we propose the following approach for future proposals:
- If you do not need more than 4000 GPU-h, please apply for RWTH-s as before.
- If you do not need more than 10000 GPU-h and would like to conduct a project in the field of machine learning or artificial intelligence, please apply for a WestAI project.
- If you do not need more than 10000 GPU-h, you are welcome to apply once (!) for an NHR Starter project. Please note that this category is intended as preparation for an NHR Normal or Large project. An extension is therefore only possible with a full proposal and should be for more than 10000 GPU-h. NHR Starter projects are allocated centrally by the NHR office; if you choose this route, please select RWTH as your preferred center.
- If you need more than 10000 GPU-h, please apply for resources within an NHR Normal or Large project. To ensure appropriate use of the system, NHR projects undergo a science-led peer-review process.
We are convinced that this step is in the interest of all users in order to avoid overloading the GPU partition (ML segment).
Furthermore, please note that in future, NHR Normal projects may request up to 20 million core-h.
Please refer to the project catalogue for a complete overview (including a decision flow chart),
Please contact servicedesk@itc.rwth-aachen.de for any further questions.
