April 25, 2024
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NVIDIA's Director of Higher Education Research, Sheryl Martin, said: “Her AI Makerspace at Georgia Tech will provide students with access to her NVIDIA accelerated computing platform and equip them with technology that will push the boundaries of AI learning and research.”
Atlanta, Georgia. Georgia Tech, in collaboration with NVIDIA, announced AI Makerspace, an AI supercomputer hub dedicated to student instruction. First, Georgia Tech undergraduate students are eligible*. This space will deepen Georgia Tech students' AI skills and provide access to computing resources typically prioritized for research in hopes of shaping the future of AI systems professionals.
Image courtesy of Georgia Tech
“Today's launch of the AI Makerspace represents another milestone in Georgia Tech's tradition of innovation and leadership in education,” said Raheem Beyah, Southern Company Chair in Engineering. He has a path to make significant contributions and lead the way in the rapidly evolving field of AI. ”
AI Makerspace is powered by NVIDIA AI Enterprise software and is accessible to students online. This software technology is built on advanced AI infrastructure designed, built, and deployed by Penguin Solutions. It provides a virtual gateway to advanced AI computing environments similar to designs used by researchers in higher education and industry.
The first phase consists of 20 NVIDIA HGX H100 systems containing 160 NVIDIA H100 Tensor Core GPUs (graphics processing units). According to a press release, it is one of the most powerful compute accelerators capable of performing advanced AI and machine learning. The platform is connected to NVIDIA Quantum-2 InfiniBand, which features in-network computing.
Image courtesy of Georgia Tech
To harness this computing power at scale, a single NVIDIA H100 GPU can create a multiplication operation in one second that would take 50,000 students 22 years to accomplish, according to a press release.
“AI Makerspace represents a significant advancement in educational technology,” explains Professor Arijit Raychoudhury, chair of the Steve W. Chaddick School of Electrical Engineering. “By comparison, a makerspace provides a technology upgrade equivalent to switching from sketching to an iPad. That's the difference in the level of technology that an AI Makerspace provides to students.”
NVIDIA Deep Learning Institute resources support NVIDIA faculty-run workshops, certifications, university ambassador programs, curriculum-supported educational kits, and developer community networks.
The University also announced two recent “AI for Engineering” programs, consisting of the announcement of Georgia Tech's first AI and Machine Learning minor degree program and the reimagining and creation of 14 core AI courses for undergraduates. News regarding the statement was also released. “AI is an increasingly interdisciplinary and irreversibly important element of today’s workforce. To meet tomorrow’s innovation needs, we need a diverse workforce adept at leveraging AI at all levels. It takes strength,” continues Raychoudhury.
Image courtesy of Georgia Tech
“The City of Atlanta applauds the leadership of Georgia Tech and the College of Engineering in advancing education and technology through the AI Makerspace,” said Atlanta Mayor Andre Dickens. “Partnerships with industry leaders like NVIDIA propel our students and employees into tomorrow and further enhance Atlanta's status as a hub for innovation.”
For more information, please visit https://ece.gatech.edu/.
*Undergraduate students currently enrolled in ECE 4252: Fundamentals of Machine Learning (FunML) have access to the Georgia Tech AI Makerspace to learn, experiment, prototype, and showcase their AI-driven ideas at scale . This fall, AI Makerspace will be incorporated into the curriculum at all eight engineering schools. By spring 2025, all students in Georgia Tech's College of Engineering, both undergraduate and graduate students, will have access to non-instructional learning. At Georgia Tech, he plans to launch the AI Makerspace Omniverse, a sandbox for augmented reality (AR) and virtual reality (VR), in 2026. This education and research hub is based on his NVIDIA Omniverse, a platform for connecting and developing 3D tools and applications, and is available to all students.
Chad Cox. The Embedded Computing Design Production Editor's responsibilities include handling the news cycle, newsletters, social media, and advertising. Chad graduated from the University of Cincinnati with a BA in Cultural and Analytical Literature.
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