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  • LRZ AI Team Develops 10B Language Model

    Detailaufnahme Cerebras CS-2 System am LRZ.Bavarian, German and English – in one large language model: To enable AI to understand Bavarian, the LRZ developed and trained an own language model. Do-you want to translate “Hock di hera, samma mera”* into German or English? Now there’s Llama-GENBA-10B. The trilingual language model is based on Meta’s Large Language Model (LLM) Llama, version 3.1-8B, and was trained by researchers at LRZ and Cerebras Systems with 10 billion parameters using a dataset of 164 billion tokens...
  • BayernKI Q&A Session (September 3, online via Zoom)

    On the first Wednesday of the month, we are happy to invite you again to the BayernKI Q&A session, an opportunity to discuss your questions about BayernKI in science. This regular event, jointly hosted by NHR@FAU and LRZ, connects current and future users of our AI infrastructure with our experts for specific tips, tricks, and support...
  • BayernKI Q&A Session (August 6, online via Zoom)

    Next week marks the first Wednesday in August, and we’re pleased to invite you once again to the BayernKI Q&A session, your opportunity to ask questions related to BayernKI in science. This regular meet-up, jointly hosted by NHR@FAU and LRZ, offers current and future users of our AI infrastructure a chance to connect with experts, ask questions, and receive support. If there are particular questions...
  • Join the EuroCC2 AI Hackathon in October – Registration is open!

    A young man is typing on a laptop in a dark room.In October 2025, you can look forward to an intensitive hackathon that focuses specifically on the topic of AI: The EuroCC2 AI Hackathon, is jointly organized by NVIDIA, the OpenACC organization and the EuroCC National Competence Centres of Austria, Germany, and Poland, including BayernKI co-host Leibniz Supercomputing Centre. The Event takes place from from October 14 to 23...
  • Photonic computer for AI use cases at LRZ

    At LRZ in Garching, a photonic computer for AI use cases was put into operation in an HPC environment for the first time worldwide. The Native Processing Server (NPS) from German start-up Q.ANT uses light instead of electrons for computing and therefore does not require energy-intensive cooling. Through parallel processing at different wavelengths, the technology promises high computing power combined with high energy-efficiency...