DICC Welcomes Faculty of Artificial Intelligence, Universiti Teknologi Malaysia (UTM)
On the May 13 2026, The Data Intensive Computing Centre (DICC) had the privilege of hosting an esteemed delegation from the newly established Faculty of Artificial Intelligence (FAI), Universiti Teknologi Malaysia (UTM). The institutional visit served as a vibrant platform for knowledge-sharing, fostering academic collaboration, and exploring the future of High-Performance Computing (HPC) infrastructure in driving AI-centric research and education in Malaysia.
Strengthening Research through Enterprise HPC Ecosystems
During the session, the DICC team shared comprehensive insights into the current deployment of UM’s robust HPC infrastructure. The discussion highlighted how DICC strategically architects, manages, and provisions computational resources to empower researchers tackling complex, data-heavy problems—ranging from deep learning and software vulnerability detection to advanced scientific simulations.
Key highlights of the presentation included:
- Empowering the Research Ecosystem: An overview of how DICC optimizes compute workloads, resource scheduling, and high-performance storage to significantly accelerate time-to-insight for multi-disciplinary research teams across the university.
- Infrastructure Blueprint: Shared strategies on maintaining scalable, enterprise-level infrastructure and managing top-tier accelerator setups to keep pace with the massive compute demands of modern generative AI and large-scale modeling.
Beyond Research: Shaping the Future of Teaching & Learning (T&L)
Moving beyond traditional research support, the DICC team also unveiled its strategic forward-looking roadmap to deeply integrate HPC capabilities into Teaching and Learning (T&L) workflows.
As AI and advanced computing become critical skill sets for the future workforce, DICC outlined plans to lower the barrier of entry for students by:
- Providing structured, sandboxed HPC environments for undergraduate and postgraduate coursework.
- Supporting specialized hands-on lab modules in AI, data science, and software engineering.
- Ensuring the next generation of graduates are thoroughly equipped with industry-ready, practical experience in managing and utilizing high-performance compute clusters.
“Collaborations like these are vital for orchestrating a cohesive national academic AI ecosystem. By sharing our architectural frameworks and our vision for integrating HPC into curriculum delivery, we hope to spark deeper cross-institutional synergies that elevate both research excellence and student outcomes.” — DICC Management
Looking Forward
The visit concluded with a productive dialogue on mutual challenges in hardware scaling, sustainable cluster management, and future collaborative opportunities between UM and UTM. DICC extends its warmest thanks to the Faculty of AI, UTM, for the inspiring visit, and looks forward to future initiatives that will continue to push the boundaries of AI and computational infrastructure in the region.
Follow our page for more updates on upcoming infrastructure milestones and academic collaborations!
