First in Malaysia to harness the power of an award-winning AI supercomputer

The University of Nottingham in Malaysia uses the NVIDIA DGX A100 to advance AI research and education

UNM looks to Nvidia DGX A100 for unprecedented compute density, performance and flexibility.

NVIDIA RECENTLY announced that the University of Nottingham Malaysia (UNM) is the first in the country to deploy the Nvidia DGX A100 system to deliver the high-performance computing (HPC) performance needed for research, education, and technology. artificial intelligence (AI) learning.

At UNM, the DGX system expects to see higher throughput and increased efficiency for its research community of undergraduate and postgraduate students and scholars.

UNM is one of two international campuses of the University of Nottingham in the UK which has a rich research-oriented heritage and is strongly committed to research to address global challenges in a number of areas, which all require powerful computing resources.

These efforts include AI and advanced data analytics, specifically computer vision, machine learning, and neural computing.

UNM-supported research groups also focus on areas such as developing sustainable societies, workplace inclusion, nanotechnology, and smart manufacturing. Asia Research Institute Malaysia, Center for Green Technologies, Future Food Malaysia and Institute for Aerospace Technology are among its other users.

UNM research projects rely on modern AI techniques, especially deep learning, and often adopt simulation-based approaches in a wide variety of application areas.

To meet the compute-heavy demands of these businesses, UNM turns to Nvidia DGX A100, a universal system for all AI workloads with five petaflops of AI performance for compute density, performance, and flexibility. unprecedented.

Unique levels of flexibility for use cases

Maul: Maul: “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.”

“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 needs, especially researchers with heavy individual workloads,” said Tomas Maul. , associate professor at the Faculty of Science and Engineering at UNM. .

Improve AI capabilities

Data science is now an essential component of commercial industries and the demand for qualified data scientists exceeds the supply. Industries are increasingly relying on universities to provide more qualified graduates.

Nvidia DGX A100 will be used to help build the university’s research community’s AI capabilities through the Nvidia Deep Learning Institute, which provides hands-on self-learning tools to advance knowledge in areas such as AI, accelerated computing, accelerated data science, graphics and simulation.

“UNM’s areas of research include scientific computing, fluid mechanics, AI, and data analytics, which can inform new ideas in urban planning, the environment, and remote sensing,” said said Professor Andy Chan, provost of research and knowledge exchange at UNM.

Apply now for September intake

To discuss with UNM researchers in this field and find out more about the training offered, go to the next Campus Open Days on July 16 and August 27 from 10 a.m. to 5 p.m. or visit the campus from Monday to Friday (except public holidays) from 9 a.m. to 5:30 p.m.

More information at

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