Princeton’s investment in a cluster of 300 Nvidia H100 GPUs opens extraordinary opportunities for discovery at scale, including the development of open-source and targeted large language models that promise to keep AI research in the public sphere and universities at the forefront of progress.

“It’s important to have all of that expertise out in the open,” says Princeton computer scientist Sanjeev Arora, director of the Princeton Language and Intelligence initiative. “As disinterested parties, U.S. universities can help society and government understand and manage AI.”

Princeton Research Computing enables high-impact research by bringing advanced computing and related educational opportunities to the Princeton community. It operates large clusters and several smaller systems, and supports faculty, researchers and students with in-person and online help, software engineering, visualization and consulting on a wide range of research software tools. Princeton Research Computing offers an extensive educational, training, and outreach program, engaging academic departments and disciplines across campus.

Princeton Research Data Service provides Princeton’s diverse research community with expert services and infrastructure to store, manage, retain, and curate digital research data, and to make their digital research data available to the broader network of academic researchers, as well as the general public.