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


University of Nottingham Malaysia leverages NVIDIA DGX A100 to advance AI research and teaching

UNM is turning to Nvidia DGX A100 for unprecedented compute density, performance and flexibility.UNM is turning 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 provide the high performance computing (HPC) performance needed for artificial intelligence (AI) research, teaching and learning.

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

UNM is one of two international branch campuses of the University of Nottingham in the UK that bears a rich, research-led heritage and is heavily engaged in research to address global challenges in a number of areas, all of which require powerful computing resources.

These efforts include AI and advanced data analysis, and more specifically, computer vision, machine learning and neural computation.

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

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

To address the heavy computational demands of such activities, UNM is turning to Nvidia DGX A100, a universal system for all AI workloads with five petaflops of AI performance for unprecedented compute density, performance and flexibility.

Unique levels of flexibility for use cases

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.'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 requirements, especially researchers with heavy individual workloads,” said UNM Faculty of Science and Engineering associate professor Tomas Maul.

Furthering AI capabilities

Data science is now a core component of commercial industries and demand for skilled data scientists is outstripping supply. Industries are leaning more and more on universities to provide better skilled graduates.

Nvidia DGX A100 will be used to help further the AI capabilities of the university’s research community 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 research areas include scientific computation, fluid mechanics, AI and data analytics, which can inform new ideas in urban planning, the environment and remote sensing,” said UNM Research and Knowledge Exchange provost Prof Andy Chan.

Apply now for September intake

To speak with UNM researchers in this area and to learn more about the courses offered, visit the upcoming Campus Open Days on July 16, Aug 27 and Aug 28 from 10am-5pm or visit the campus from Monday to Friday (except public holidays) from 9am to 5.30pm.

Find more information at www.nottingham.edu.my.

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