The SMU NVIDIA DGX SuperPOD Advantage is a high-performance computing (HPC) cluster, specifically tailored to meet the demands of cutting-edge research.

This shared resource machine consists of 20 NVIDIA DGX A100 nodes, each with 8 advanced and powerful graphical processing units (GPUs) to accelerate calculations and train AI models. The SMU Office of Information Technology (OIT) and the Center for Research Computing (CRC) jointly manage and provide both access and support for this top of the line machine.

If you are interested in learning more about how this machine can help your research, please reach out to the OIT Research and Data Science Services group via with HPC on the subject line.

NVIDIA DGX SuperPOD Advantage Specifications

Computational Ability 1,644 TFLOPS
Number of Nodes 20
CPU Cores 2,560
GPU Accelerator Cores 1,392,640
Total Memory 52.5 TB
Node Interconnect Bandwidth 10 - 200 Gb/s Infiniband Connections Per Node
Work Storage 768 TB (Shared)
Scratch Storage 750 TB (Raw)
Archival Storage N/A
Operating System Ubuntu 20.04

Getting Started

Getting a SuperPOD Account

Individuals with an SMU ID

  • SMU faculty/staff can request an account by filling out the New Account Form.
  • If you are a student or postdoc please ask your supervisor, sponsor, or adviser to request an account via the New Account Form.

Individuals without an SMU ID or Sponsored ID

  1. The sponsor must request an SMU ID or Sponsored ID and have that account activated before sponsor can request SuperPOD access for the individual. Please submit an Account Request via the Online Service Center.
  2. Once the individual's SMU ID or Sponsored ID has been created and activated the sponsor can request a SuperPOD account for the individual via the New Account Form.

The University maintains a SMU AI listserv. To join, simply email

Please Note:
 You must send this message from the email address where you want to receive the e-list's messages.

Users of the SMU AI SuperPOD are also encouraged to join the SMU AI Teams channel.

Igniting Artificial Intelligence Supercomputing in Dallas

Documentation and Training