The rise of generative AI has driven a major update of Rosie, Milwaukee School of Engineering’s supercomputer, with two DGX H100s. The DGX H100 is NVIDIA’s newest supercomputing hardware—and MSOE is the first in Wisconsin to deploy it.

Students and faculty use Rosie to develop complex and sophisticated deep-learning models for a wide variety of domains including both traditional deep learning use cases as well as the new era of generative AI. Increasing demand for training large generative models, like the models that drive ChatGPT, led to the need to incorporate the industry’s highest performing AI hardware, the DGX H100, into Rosie’s capacity.

“Our undergraduate students have a unique opportunity to gain hands-on experience with Rosie,” said Dr. Derek Riley, professor and computer science program director. “Still today, there are very few universities giving their undergraduate students access to and experience with a supercomputer. At MSOE, all our majors—from computer science and software engineering to biomedical engineering, business, and nursing—are incorporating artificial intelligence technologies into the curriculum. This will enable students to graduate with practical, highly demanded skills that will help them to drive innovation in their careers for the foreseeable future.”

The DGX H100 systems meet the massive computing requirements of generative AI including large language models, recommender systems, health care research, and climate science. Packing eight NVIDIA H100 GPUs per system, connected as one by NVIDIA NVLink®, each DGX H100 provides 32 petaflops of AI performance.

MSOE installed two DGX H100s and ultra-high bandwidth InfiniBand networking to enable linking of the systems. The DGX H100s are the core computing engines behind the vast majority of headline-grabbing AI advancement in the past twelve months. They represent the latest advancements MSOE has implemented as a leader in artificial intelligence education.