UND, partners lead Arctic research supercomputing initiative

In the same way a helmsman guides a ship through turbulent waters, a team of researchers led by the University of North Dakota is developing an AI-powered system to navigate the growing complexities of the Arctic.

At the core of this initiative is a powerful Kubernetes (K8s) cluster — named after the Ancient Greek term for “helmsman” — which will drive the Arctic Knowledge-Based System (A-KBS), an advanced computational platform designed to support decision-making in cold weather environments using real-time data analytics and long-term forecasting. (Editor’s note: As Google explains, a Kubernetes cluster is a single, unified system composed of multiple computers that cooperate to execute applications.)

Why it matters

The Arctic is a challenging environment for operations. Advancements in AI and machine learning are enabling the analysis of vast amounts of satellite, lidar, geological, and geospatial data to enhance situational awareness leading to more efficient and resilient operations. Supported by a research contract from the US Army Corps of Engineers Research and Development Center, the A-KBS marks the first deployment of a Kubernetes cluster with supercomputing capabilities at UND.

“Challenges in the Arctic require supercomputing-level support for advanced situational awareness, real-time monitoring, and predictive analytics,” said Principal Investigator Timothy Pasch, professor of Communication, associate director of the UND AI Research Center and director of the UND ARCTIC Lab.

“As the Arctic increasingly becomes a global focal region, leveraging AI-driven modeling, Earth-scale data science, and remote sensing technology is essential for maintaining stability, sovereignty, and resilience.”

Co-leading the project is Naima Kaabouch, Chester Fritz Distinguished Professor of Computer Science and director of the UND AI Research Center in the College of Engineering & Mines, with Aaron Bergstrom, senior computational scientist at UND’s Computational Research Center (Office of the Vice President for Research & Economic Development) managing the University’s High Performance Computing Cluster.

For more on this project, read the full post at UND Today.