Challenges
UF faced several challenges on its mission to create a pinnacle computing environment to meet its ambitious goals.
As research data and computational needs expanded rapidly, UF’s existing infrastructure struggled to keep pace with the growing demands of its many users across departments. Additionally, because the cluster is shared between departments for various computational tasks, ensuring jobs could be completed in a timely manner would be essential to maintaining a swift research pace and overall beneficial experience for the end users.
Solution

NVIDIA DGX SuperPOD with DDN A³I HiPerGator 3.0, which would become recognized as the world’s fastest AI supercomputer in academia

140 NVIDIA DGX A100 systems (1120 GPUs), 4PB DDN AI400X all-flash storage

Mellanox 200GB/s InfiniBand networking
Benefits
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Reduced processing latency for end users up to 9X with parallel protocol
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Significantly boosted the processing capacity available for the university and its departments (0.7 Exaflops)
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Simple building block architecture allows for seamless scalability for future needs
We have a history of success with DDN storage systems powering our HPC computing and anticipate similar high productivity for our AI workloads.![]()