NVwulf is Stony Brook University's newest high performance computing cluster, designed to accelerate artificial intelligence, machine learning, and data intensive scientific research. Functioning as a sister system to the general purpose SeaWulf cluster, NVwulf represents a major expansion of campus GPU computing resources.

Launched in July 2025, NVwulf entered its first deployment phase featuring 24 NVIDIA H200 NVL GPUs, capable of delivering up to 80 petaFLOPS of FP8 performance for machine learning workloads and 720 teraFLOPS of FP64 performance for scientific computing. A second expansion phase is expected to be available in fall 2025.

NVwulf was developed through collaboration between the Research Computing and Innovation team within the Division of Information Technology, multiple academic departments, and leadership across Stony Brook’s East and West campuses. It is part of a larger multi year initiative supported by a five million dollar New York State grant to establish Stony Brook as a national hub for interdisciplinary AI research.

The cluster supports a wide range of research including biomedical imaging, molecular modeling, AI driven diagnostics, and large scale data analysis. Researchers are already reporting faster workflows, with projects that once required weeks of computation now completing in days.

For guidance on accessing NVwulf, logging in, or transferring data, see Getting Access to NVwulf and Getting Started on NVwulf.