Ian Buck, Nvidia’s vice president of hyperscale and HPC computing (left), and Darío Gil, DOE Under Secretary for Science and Genesis Mission lead, at the Nvidia GPU Technology Conference. (Photo: Nvidia)

Department of Energy Under Secretary for Science and Genesis Mission lead Darío Gil participated in a session at the Nvidia GPU Technology Conference on March 17 that coincided with the announcement of the DOE’s $293 million Genesis Mission request for applications, which invites interdisciplinary teams to submit ideas for projects addressing over 20 of Genesis’s stated national challenges, several of which focus on accelerating nuclear research and nuclear energy output.

“We seek breakthrough ideas and novel collaborations leveraging the scientific prowess of our national laboratories, the private sector, universities, and science philanthropies,” said Gil.  

The nuclear space is full of companies eager to power new AI development. At the same time, many AI companies want to provide services to the nuclear industry. It should come as no surprise, then, that two new partnerships have recently been announced that further bridge the AI and nuclear sectors.

AtkinsRéalis has announced a partnership with Nvidia that aims to leverage Nvidia’s technologies to deploy “nuclear-powered, large-scale AI factories.” Centrus Energy has announced a partnership with Palantir Technologies to use Palantir’s software in support of Centrus’s plans to expand enrichment capacity.

Idaho National Laboratory and computer chip maker Nvidia have announced a public-private partnership to advance nuclear energy deployment through artificial intelligence. According to INL, the collaboration aims to cut reactor development times in half and reduce operational costs by 50 percent by using AI to design, license, manufacture, construct, and operate reactors with human-in-the-loop workflows.

Commonwealth Fusion Systems, a fusion firm headquartered in Devens, Mass., is collaborating with California-based computing infrastructure company NVIDIA and Germany-based technology conglomerate Siemens to develop a digital twin of its SPARC fusion machine. The cooperative work among the companies will focus on applying artificial intelligence and data- and project-management tools as the SPARC digital twin is developed.

The Department of Energy, Argonne National Laboratory, NVIDIA, and Oracle have agreed to a public-private partnership to deliver the DOE’s largest AI supercomputers, named Solstice and Equinox.

Diablo Canyon will host a commercial installation of the first on-site generative artificial intelligence deployment at a U.S. nuclear plant.

Pacific Gas & Electric is deploying Atomic Canyon’s Neutron Enterprise to assist the utility’s management of datasets associated with operations of Diablo Canyon. The software, which runs on Nvidia’s full-stack AI platform, enables intelligent document processing, computation of semantic embeddings, and generative capabilities. Its infrastructure allows nuclear facilities to process and analyze vast amounts of complex documentation with unprecedented speed and accuracy, according to the company.