University of Nottingham Malaysia (UNM) will be the first local university to deploy NVIDIA's DGX A100 system to provide the high performance computing (HPC) performance needed for students' AI research, teaching, and learning. The system will be available at the end of February and the university expects an increased efficiency for the research community among its undergraduates and post-graduates, as well as academics.
UNM is known for engaging in research to address global challenges in areas that require powerful computing resources, including AI and advanced data analysis, and more specifically, computer vision, machine learning, and neural computation.
The NVIDIA DGX A1000 is a universal system for all AI workloads with five petaflops of AI performance for unprecedented compute density, performance, and flexibility. Through the system's multi-Instance GPU technology, UNM will be able to allocate computing capabilities across every AI workload more flexibly, supporting both individual and team researchers. The system will be used through the NVIDIA Deep Learning Institute, providing hands-on self-learning tools to advance knowledge in AI, accelerated computing, accelerated data science, graphics, and simulation.
"The NVIDIA DGX A100 is particularly attractive because it combines a large number of powerful GPUs that can be reconfigured and combined in multiple ways depending on user
requirements," said Tomas Maul, associate professor, Faculty of Science and Engineering at
UNM. "It offers unique levels of flexibility that can cater to our wide spectrum of use cases, from researchers with heavy individual workloads, to large classes of undergraduate students, each with smaller workloads."
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