Jensen Huang, CEO of Nvidia, arrives for the Inaugural AI Insight Forum in the Russell Building on Capitol Hill on Sept. 13, 2023.
Tom Williams | CQ-Roll Call, Inc. | Getty Images
Nvidia and the Georgia Institute of Technology announced Wednesday the first artificial intelligence supercomputer designed for student use.
The chipmaker’s processing units, or GPUs, are at the heart of the large language models created by OpenAI, Alphabet, Meta and a growing crop of heavily-funded startups all battling for a slice of the generative AI pie. Nvidia has seen its revenue soar over the past year, and in February its market cap passed that of Amazon.
It underscores the importance of training the next-generation workforce on AI.
At first, only Georgia Tech’s undergraduate students will be able to use the computing cluster, which is fueled by Nvidia’s enterprise AI software and a “virtual gateway” developed by Penguin Solutions.
So far, students have used the supercomputer in just one class — foundations of machine learning — since the beginning of the semester, but Georgia Tech plans to continue scaling usage. By spring 2025, all of Georgia Tech’s undergraduate and graduate students will have access, Arjit Raychowdhury, chair of Georgia Tech’s School of Electrical and Computer Engineering told CNBC in an interview.
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, or graphics processing units — 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.
Students will use the supercomputer for course projects related to computer vision, large language models, robotics, supply chain management, chemical or biomedical engineering, creativity and design pursuits related to generative AI, and also separate entrepreneurial ventures of their choice, Raychowdhury said.
“The idea here is for us to be able to set up these computational resources… working closely with Nvidia and Penguin Solutions, and essentially making this a sandbox where students will be able to do their own work,” Raychowdhury told CNBC in an interview.
