This webinar by the CoE Excellerat 2 presents a comprehensive look at NVIDIA’s contributions to scientific computing, featuring two interconnected talks:

• Leveraging AI in computational physics with NVIDIA Modulus and TorchFort
  The first presentation will showcase how researchers leverage NVIDIA’s open-source libraries, such as Modulus, to seamlessly integrate learning methods with scientific solvers. It will focus on recent results that facilitate AI in-the-loop approaches and enable on-the-fly training and inference during computation using the open-source TorchFort library. It will showcase a blueprint that new users can follow to replicate this in their codes today, unlocking new areas of research without compromising the speed of their high-performance solvers.
• Accelerate time-to-science using the NVIDIA platform
  The second will introduce the NVIDIA Grace CPU Superchip and NVIDIA GH200 Superchip platforms and a presentation of how advancements in hardware coupled with NVIDIA’s vision on programming models for accelerated computing can have profound implications in developing next generation fast (time to solution) and efficient (energy to solution) HPC codes. The conclusion of the talk will provide a glimpse into the future of computing in 2025-2026, powered by Blackwell and Grace.

Read more and register here.