Nicholas Geneva
Nicholas Geneva is a Senior Software Engineer in HPC/AI at NVIDIA, specializing in the development of platforms that integrate deep learning with physics and climate science. With over a decade of experience in scientific software development, he currently focuses on developing NVIDIA’s software for Earth-2 to enable AI driven weather / climate prediction for everyone. Nicholas has been a core developer of NVIDIA’s PhysicsNeMo Python packages for the past four years.
Session
Artificial Intelligence (AI) is reshaping meteorological science across two distinct frontiers. On one end, foundation-scale generative models, large-scale distributed training, and massive ensembles push the limits of high-performance computing and big-data orchestration. On the other, a "democratized edge" is emerging, where lightweight, heterogeneous inference workflows broaden access for experimentation. This dual expansion introduces a new class of software challenges spanning distributed training, ensemble-scale orchestration, and efficient, flexible inference pipelines.
This talk will introduce Earth2Studio and PhysicsNeMo from NVIDIA, two software packages designed to enable and scale AI weather forecasting. By exploring their architectures, we will discuss the broader development journey of building AI-driven meteorological tools and share key lessons learned in managing the intersection of high-performance computing, data science and operational reliability.