New York-based Stony Brook University (SBU) has bought a new high-performance computing (HPC) cluster online, dubbed NVwulf.

Described as “sister system” to the university’s existing SeaWulf cluster, Stony Brook said NVwulf marks a “significant upgrade” in campus-wide computational capabilities.

NVwulf will be deployed in phases, with the first phase comprising 24 Nvidia H200 NVL GPUs delivering up to 80 petaflops of FP8 compute performance, and 720 teraflops of FP64 performance. Phase II, expected to go live in the fall, will further expand the capacity of the cluster – although the university did not specify by how much.

Unlike the other specialized compute clusters deployed by SBU, including the university’s general-purpose SeaWulf cluster and the HIPAA-compliant ClinWulf, Stony Brook said NVwulf is its most GPU-intensive cluster so far, and has been designed specifically for artificial intelligence (AI) and machine learning (ML) workloads.

The project was supported by a $5 million grant from the New York government, part of a three-year program announced by Governor Kathy Hochul in April 2025 to help fund eight State University of New York campuses in establishing departments, centers, and institutes of AI and Society.

The NVwulf cluster is one of the first major research investments to have stemmed from the initiative and has been developed in partnership with the Research Computing and Innovation team in the Division of Information Technology (DoIT), in addition to several academic departments, and senior leadership across both SBU’s East and West campuses.

“NVwulf is both a symbol and a catalyst for what we’re building with the new Department of Technology, AI & Society,” said Andrew Singer, dean of the College of Engineering and Applied Sciences (CEAS). “It reflects our commitment to creating the computational infrastructure and interdisciplinary ecosystem needed to lead in AI research, education, and innovation. By linking state-of-the-art GPU computing with an academic vision that spans engineering, data science, ethics, and public impact, we’re positioning Stony Brook as a national leader in responsible, cutting-edge AI.”