July 30, 2022

Students tackled the ultimate DIY challenge by building a “baby supercomputer” that not only deepens their understanding of networking and parallel computing, but also shows big potential for their artificial intelligence research.

As SMU’s powerful new NVIDIA DGX SuperPOD supercomputer research system launched on campus, students assembled their own “baby supercomputer.” Small but mighty, it’s capable of running and training artificial intelligence (AI) and machine learning (ML) models with the potential to make an array of modern conveniences even better at what they do.

“Our student team already has access to a really powerful supercomputer on campus, but having this miniature version gives them a chance to administer their own supercomputer, which is a novel experience,” explains physicist Eric Godat ’18. He’s the team lead for SMU’s Office of Information Technology Research and Data Sciences Services and director of its Student Technology Assistant in Residence (STAR) Program.

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