SMU is collaborating with accelerated computing leader NVIDIA to dramatically boost the University’s high-performance computing system – increasing SMU’s current supercomputer memory tenfold and setting the stage for artificial intelligence (AI) and machine learning 25 times faster than current levels.
SMU is investing $11.5 million in hardware, software and training to strengthen the University AI infrastructure with an NVIDIA DGX SuperPOD, bringing world-leading AI supercomputing capabilities to Dallas. The collaboration will give SMU faculty, students and research partners the ability to integrate sophisticated AI technology across a wide array of research disciplines, ranging from computational biology to human performance, from national defense to digital humanities.
“This partnership will put us in the fast lane for artificial intelligence,” said SMU President R. Gerald Turner. “Research universities like ours have an obligation to actively engage in the development and application of AI for societal good, and this partnership gives us the tools to do it.”
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Supersizing supercomputing research power
Plans to expand data science across the SMU curriculum got a boost from a collaboration with accelerated-computing leader NVIDIA that will bring sophisticated artificial intelligence (AI) technology to an array of disciplines ranging from computational biology, to national security, to digital humanities.