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: 📦 […]
Driven by CINES’s growing involvement in the health sector and the rapid development of Artificial Intelligence in healthcare, AI Factory France and MINERVA have joined forces to host a hackathon […]