NHR South-West is a collaboration of Johannes Gutenberg University Mainz, Goethe University Frankfurt, University of Kaiserslautern-Landau and Saarland University, embedded into the German National High Performance Computing (NHR) association. It connects researchers and scientists with cutting-edge supercomputing resources, expert support, and a vibrant community. Whether you are simulating complex systems, analyzing massive datasets, or exploring new HPC methods, we help you turn computational challenges into discoveries.
Apply for Compute Time
NHR South-West provides researchers with access to our cutting-edge high-performance computing systems Mogon NHR and Goethe-NHR for large-scale simulations, data analytics, and AI workloads. Our compute resources are available free of charge to eligible academic users across Germany. From modeling complex physical processes to training advanced machine learning models, our systems deliver the performance needed to push the boundaries of scientific discovery. Apply for compute time and bring your research to the next level.
Events and Trainings
At NHR South-West, we don’t just provide computing power – we help you make the most of it. Join our trainings, workshops, and conferences to enhance your HPC and AI skills, or participate in our Method Labs and Simulation & Data Labs to tackle challenging scientific problems with expert support. Stay ahead in your research with our events, talks, and hands-on sessions designed to turn ideas into breakthroughs.
Core and Research Competencies
At NHR@SW, our Method Labs and Simulation & Data Labs connect researchers with HPC experts to accelerate scientific discoveries. We focus on key areas such as performance engineering, scalable algorithms, workflow optimization, data analytics, AI & machine learning, and advanced simulation techniques. Through these labs, scientists gain hands-on support, explore cutting-edge computational methods, and co-develop solutions tailored to their projects. Whether it’s optimizing large-scale simulations, analyzing complex datasets, or developing new workflows, our labs create a collaborative environment that drives innovation across disciplines.