The first Wednesday of the month is coming up, and we are pleased to invite you to our second BayernKI Q&A Session, jointly organized by NHR@FAU and LRZ. This online session provides a regular opportunity for current and future users of our AI infrastructure to discuss your questions and receive support. If there are specific topics or questions you would like to discuss in the session, you can let us know in advance via the following form…
For those with larger AI projects that are not fully covered by the basic compute time provided by BayernKI, there is another option: A new call for projects on the Gauss Centre for Supercomputing’s (GCS’s) systems will open soon. To support this, the AI Support teams from FZJ/JSC, LRZ, and HLRS are organizing an info event for scientists interested in AI-related projects on the GCS supercomputers, including…
Current and future users of BayernKI resources for science can join the first BayernKI Q&A Session!
We are pleased to invite you to our first BayernKI Q&A Session, jointly organized by NHR@FAU and LRZ. It takes place on Wednesday, June 4 from 1:00 to 2:00 p.m. This online session will recur on the first Wednesday of every month, providing a regular opportunity…
NHR@FAUs next HPC Café will take place on April 8 at 4:00 p.m. as a hybrid event. As always, there will be plenty of time to get in touch with your favorite HPC group. We invite you to come to NHR@FAU to enjoy coffee, cake, and computing. The event starts at 4:00 p.m. CEST with an open coffee chat, and at 4:30 p.m., we will start the presentation.
The new supercomputer “Blue Lion” is part of the German national HPC infrastructure of the Gauss Center for Supercomputing and will serve a wide range of research projects, combining classic simulations with artificial intelligence. Please read the press release of HPE. Blue Lion is scheduled to go live in early 2027 and deliver 30X faster performance…
With the CS-2 system from Cerebras, AI models for the recognition of hate speech on social media platforms can be trained faster, and offensive texts can be detected more effectively. This is shown by a study from the LRZ that compares different AI accelerator systems. Identifying hate speech and removing it from the digital world: This is a task…
