Thapar Institute of Engineering & Technology (TIET) announced the signing of an MOU and collaboration with NVIDIA to establish the Thapar School of Advanced AI & Data Science (TSAAI), with technical support from the NVIDIA AI University program.
Artificial Intelligence (AI) continues to revolutionize industries worldwide, driving innovation, reshaping the future of education, and changing lives. Under the Memorandum of Understanding signed between TIET and NVIDIA, TSAAI will be established at TIET's campus, Patiala. This groundbreaking initiative aims to offer a comprehensive range of academic programs, research opportunities, and innovation projects to empower both students and faculty with essential AI skills and knowledge.
"We are excited about the opportunity to establish this AI school, in technical collaboration with NVIDIA," said Dr. Padmakumar Nair, Director of Thapar Institute of Engineering & Technology. "This work will not only bridge the gap in AI expertise but also pave the way for cutting-edge research and innovation in this transformative field. This also establishes our vision of providing education that creates future-ready students."
“As a key player in the global AI education initiative, Thapar Institute will integrate cutting-edge NVIDIA technologies to cultivate a new generation of AI experts across India,” said Vishal Dhupar, Managing Director of Asia South at NVIDIA. “The new AI school will help bridge the gap in AI expertise and pave the way for breakthrough research and innovation in the industry.”
TIET will set up state-of-the-art AI infrastructure leveraging NVIDIA DGX systems with NVIDIA H100 Tensor Core GPUs, NVIDIA A100 Tensor Core GPUs, and the NVIDIA AI Enterprise software platform for the development and deployment of generative AI. This dedicated data center will offer 227 petaflops of AI performance with nearly 8 terabytes of GPU memory. Apart from core accelerated computing infrastructure, TIET is setting up edge computing infrastructure with 500 Jetson Nano developer kits to build up the startup ecosystem, taking leaps forward to turn graduates into job creators rather than job seekers.
This AI university program aims to offer a comprehensive range of courses, labs, research opportunities and innovation projects to empower both students and faculty with essential AI skills and knowledge. By the dawn of the first semester 2024-2025 academic year, the infrastructure will be ready to support a full undergraduate AI degree program, AI mandatory/elective courses across all disciplines, technical training for faculty and staff, research collaborations, and establishment of an AI startup ecosystem powered by NVIDIA edge computing. Within a span of 2-4 years, TIET will make sure any student who is graduating will be “AI literate” by making required curriculum changes and additional requirements. First on the block is to initiate the Thapar Digital Twin project, followed by a number of mega interdisciplinary projects in areas ranging from food security, urban planning, healthcare, and cybersecurity to robotics and more.
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