This internal webinar was organised and hosted by ELLIOT as part of the T9.5 – HPC Management activities, to present best practices for preparing applications to EuroHPC systems. Thanks to a valuable collaboration with the ELLIOT project, MINERVA was able to make the content available more broadly, reinforcing a shared commitment to support and inform […]
The Winter AI School offers an intensive, hands-on learning experience that explores the latest advancements in artificial intelligence. There is a strong focus on high-performance computing (HPC), computer vision, large language models (LLMs), multimodal models and the profiling and optimisation of large-scale AI training. Spanning five days, the school brings together experts from leading institutions, including […]
Join us as we explore the AMD Enterprise AI suite, which helps organizations scale AI from experimentation to production with an open and modular platform. Agenda
As foundation models and other large AI systems continue to scale, the field faces a growing set of methodological and computational challenges — from efficient training strategies and system-level constraints to reproducibility, performance optimisation, and responsible use of compute resources. This workshop will provide a dedicated space to discuss these challenges and explore emerging approaches […]
Join us for our inaugural online journal club. In this session, we will discuss together Meta AI's work on Large Concept Models . Our team from Tübingen AI Center will host and lead the discussion. The session is open to all and free of charge. We encourage you to read the paper before joining, but […]
The HPC users' primary goal is scientific discovery. However, many encounter continuous obstacles when running code on HPC systems. Issues such as configuring environments, managing modules, writing job scripts, and defining correct paths often distract from research goals. We are working to address some of these challenges. In this presentation, we will introduce and demonstrate […]
The Webinar is for participants interested to learn how to identify and analyze performance improvements for AI workloads using profiling. Understand the fundamentals of profiling for AI workloads, which can be further applied upon completion of the webinar. The webinar combines theoretical knowledge with guided coding walkthrough to help participants identify performance improvements, understand traces, […]
We'll return with the second installment of the online journal club. In the meeting, we will have a look together at (VL-)JEPA , a model from Yann LeCun's research agenda around Joint Embedding Predictive Architectures. Our team from Tübingen AI Center will host and lead the discussion. The session is open to all and free […]
The third instalment of the online journal club will feature the third instalment of the Mamba model series. We will discuss and dissect the ICLR 2026 paper "Mamba-3: Improved Sequence Modeling using State Space Principles" by Lahoti et al. . Again, the Tübingen AI Center team will host and lead the discussion. The session is […]
Description Following the previous workshop in April, AMD Silo AI has refactored and open-sourced hpc-assistant for the HPC community and general audiences. The tool simplifies workflows across key areas: 📦 […]