As educators continue to grapple with how to use AI, the market demands for AI and the solutions that it offers continue with it. For educators, the stakes intensify as the new reality of a world powered by AI leaps closer and closer to the present. For leaders in higher education, embracing such technology is much more than just enrichment of the educational environment, it is also a matter of providing skills for students to enter a rapidly changing workforce that will undoubtedly require a skillset involving navigation of AI technology. Supercomputers stand to introduce such a starkly higher level of efficiency (as compared to the work of an individual student) that an analysis of the cost versus any benefit may soon be explanatory on its face. While we see a ready embrace of iterations of generative AI in higher education, the trickle down effects of a changed education dynamic in higher education will undoubtedly trickle down to K-12, where educational leaders will have to tackle increased AI integration head on.
The news follows OpenAI’s decision in January to enter into its first partnership with a higher education institution. Arizona State University received full access to ChatGPT Enterprise in February, with plans to use it for coursework, tutoring, research and more.
Georgia Tech’s supercomputer runs on 20 Nvidia HGX H100 systems, which house 160 of Nvidia’s H100 GPUs, which are high in demand across the tech industry. For reference, it would take one of these 160 GPUs a single second to come up with a multiplication function that would take 50,000 students 22 years, according to a Georgia Tech release.
