The Precision One Health Institute, Institute for Artificial Intelligence, and School of Computing partnered to purchase new GPU-enabled compute nodes through UGA’s Georgia Advanced Computing Resource Center. The new nodes include high-performance 2P compute systems with 64 CPU cores, 384 GB RAM, and four NVIDIA L40S GPUs, providing shared infrastructure for artificial intelligence, imaging, genomics, simulation, and other data-intensive research workflows.
This investment directly supports the Systems Modeling and Data Analytics Core by expanding access to scalable computing for Precision One Health projects. By pooling resources across POH, IAI, and the School of Computing, UGA is strengthening the computational foundation needed to analyze complex biomedical, clinical, and cross-species datasets.