Modeling and simulation are essential tools in science, enabling researchers toanalyze complex systems and predict their behavior. High Performance Computing (HPC) plays a crucial role by providing the computational power necessary to run large-scale simulations, driving breakthroughs across various scientific fields. For example, an ongoing challenge is climate modeling, which relies on HPC to predict and understand the effects of climate change, helping to guide global mitigation efforts. In addition, recent years have seen machine learning take on a growing role in technological development, enabling progress in areas such as audio and image processing, natural language processing, and autonomous driving. High-performance, efficient computing systems are essential for both training and real-time inference of these models.