Georgia Tech students will use Makerspace to learn AI in a classroom. The first phase uses 20 NVIDIA HGX H100 systems. (Image Credit: Georgia Tech)
NVIDIA and the Georgia Institute of Technology introduced AI Makerspace, an initiative that makes AI supercomputers accessible to students, allowing them to learn and use AI in a classroom. Teachers and students can use teaching kits, workshops, and certifications for AI Makerspace training, which helps with robotics and supply chain management projects. It’s also beneficial for graduate students who seek to work with AI professionals and further develop the tech for future applications.
“The launch of the AI Makerspace represents another milestone in Georgia Tech’s legacy of innovation and leadership in education,” said Raheem Beyah, dean of the College and Southern Company Chair. “Thanks to NVIDIA’s advanced technology and expertise, our students at all levels have a path to make significant contributions and lead in the rapidly evolving field of AI.”
NVIDIA’s supercomputer features 20 NVIDIA HGX H100 systems and runs on 160 NVIDIA H100 Tensor Core GPUs, a powerful computational accelerator that can handle advanced AI and machine learning functions. AI Makerspace also connects with an NVIDIA Quantum-2 InfiniBand networking platform. It would only take an H100 GPU one second to complete a math problem that would take 50,000 students 22 years to solve.
“AI supercomputers provide a platform to help drive powerful new discoveries that could solve some of the world’s most complex challenges,” said Cheryl Martin, director of Higher Education and Research at NVIDIA. “Georgia Tech’s AI Makerspace will provide students with access to NVIDIA’s accelerated computing platform, equipping them with the technology to push the boundaries of AI learning and research.”
Currently, undergrads taking ECE 4252: Fundamentals of Machine Learning can use AI Makerspace to learn, experiment, prototype, and demonstrate their AI projects. The system is expected to be added to the curriculum of all eight engineering schools. In Spring 2025, non-instructional learning will be accessible to undergrad and grad Georgia Tech engineering students. By 2026, Georgia Tech expects to deploy the AI Makerspace Omniverse, a sandbox for AR and VR.
“The intelligent system will serve as a tutor and facilitator,” said AlRegib, the John and Marilu McCarty Chair of Electrical Engineering. “It will be the lens through which students can tap into the world of AI, and it will empower them by removing any hurdle that stands in the way of them testing their ideas. It will also facilitate the integration of the AI Makerspace into existing classes.”
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