The University of Florida supercomputer is a cluster that includes the latest generation of processors and offers nodes for memory-intensive computation. HiPerGator’s high-performance storage systems can be accessed from diverse interfaces, including Globus, UFApps for Research, and other tools.

UFIT Research Computing maintains the cluster and its many parts, allowing researchers to focus on their research instead of hardware and software maintenance. UFIT Research Computing supports supports a significant number of widely-used applications. Our staff is happy to evaluate and explore additional applications for UF’s research needs.

HiPerGator 3.0

HiPerGator 3.0 has been growing for nearly a year. Adding GPUs, storage and new processors, HiPerGator 3.0 is taking shape. The GPUs are in production, the new Blue storage will replace /ufrc and we are starting negotiations on replacement processors, expected to go into production in January 2021.

HiPerGator Evolution

Phase Year Cores


HiPerGator 1.0 2013 16,000 AMD


HiPerGator 2.0 2015 30,000 Intel


HiPerGator 3.0 Jan 2021 30,720 AMD EPYC 7702 Rome
2.0 GHz Cores


HiPerGator 3.0 Q2 2021 9,600 AMD EPYC Milan


  • Total of 66,000 cores as the 16,000 cores from HiPerGator 1.0 will be retired
  • HiPerGator 3.0 already has:
    • 608 new NVIDIA RTX 2080TI and RTX 6000 GPU’s
    • 4 Petabytes (PB) of new Blue fast storage
  • Double Precision LinPack (HPL): ~1 Petaflops

HiPerGator AI NVIDIA DGX A100 SuperPod

Cluster Information

  • 140 NVIDIA DGX A100 nodes
  • 17,920 AMD Rome cores (35,840 with SMT enabled)
  • 1,120 NVIDIA Ampere A100 GPUs
  • 2.5 PB All-Flash common storage accessible by all nodes
  • Over 200 non-blocking HDR Infiniband and various Ethernet switches for connectivity

Node Information

  • 2x AMD EPYC 7742 (Rome) 64-Core processors with Simultaneous Multi-Threading (SMT) enabled presenting 256 cores per node
  • 2TB RAM
  • 8x NVIDIA A100 80GB Tensor Core GPUs
  • NVSWITCH technology that supports integration of all 8 A100 GPU’s in a system with unified memory space
  • 10x HDR IB non-blocking interfaces for inter-node communication
  • 2x 100GbE ethernet interfaces
  • 28TB NVMe local storage

UF is the first university in the world to get to work with this technology. Visit the UF Artificial Intelligence Initiative website for more information.

The A100 technical specifications can be found at the NVIDIA A100 Website, in the DGX A100 User Guide, and at the NVIDIA Ampere developer blog.

For A100 benchmarking results, please see the HPCWire report.

The details of HiPerGator 3.0’s deployment can be found in the News section on our Homepage.