Artificial Intelligence GPU Cluster

University of Memphis unveils the state-of-the-art GPU Cluster funded by NSF to boost AI research in Delta Region

The NSF MRI project team at the University of Memphis, along with crucial support from the IT department and the College of Arts and Sciences, is thrilled to announce the deployment and launch of the new NSF-funded GPU cluster. Led by Principal Investigator Xiaolei Huang and Co-Principal Investigators Duane McKenna, Chrysanthe Preza, Vasile Rus, and Santosh Kumar, this high-performance computing (HPC) cluster is a milestone in enhancing our research computing capabilities in the Midsouth region. This high-performance computing (HPC) cluster is now fully operational and available for academic and research use, marking a significant milestone in our commitment to advancing scientific innovation and education. This facility will feature 928 AMD CPU cores and 88 NVIDIA GPU cards (5000 Ada, 6000 Ada, and H100) distributed across 11 computing nodes. Additionally, the cluster is equipped with 233 TB of SSD for swift data access and a sizable data warehouse with 1.32 PB of HDD storage, catering to a diverse range of computational needs. The cluster will also support a broad range of educational and training programs across over 10 regional institutions and industrial patterners. This initiative not only prepares researchers for future challenges but also positions UofM as a regional leader in integrating AI and data science into solving pressing scientific and societal issues.

For those interested in utilizing the GPU cluster for research and education activities, register at Cluster Registration. We will offer comprehensive user tutorials and training materials at our Tutorials page and User Wiki. Should you have any questions or need further information, feel free to contact us through our contact page. This initiative represents a significant advancement in our technological capabilities and educational outreach. We are proud to provide these resources to foster innovation and development in the region and look forward to seeing the groundbreaking discoveries that will emerge from this vibrant scientific community.

For more information regarding the project, please refer to the NSF award announcement.