Discover how partnering with Mahidol University unlocks access to unique real-world medical data, powerful GPU infrastructure, and streamlined AI workflows – with a proven case showing how University of Bremen teams turned month-long work into days.
WHAT’S THIS EVENT ABOUT?
This session introduces a practical framework for enabling high-impact research collaborations between the University of Bremen and Mahidol University by combining complementary strengths in real-world medical data, methodological AI expertise, and scalable compute infrastructure.
Mahidol provides a unique interdisciplinary research ecosystem spanning clinical medicine, tropical medicine, public health, and social sciences and humanities—creating opportunities for both Bremen AI researchers seeking access to exciting real-world datasets and domain researchers looking for larger computing capacity and AI support to accelerate their studies. The Mahidol AI Center supports these collaborations through a research-grade GPU cluster (including NVIDIA DGX A100 and H100) and SLURM-based workflows, enabling reproducible, large-scale experimentation. (Read more about the AI Center here.)
We highlight a Bremen × Mahidol case study demonstrating how SLURM-based parallelization enabled large-scale evaluation across many pre-training checkpoints and fine-tuning runs—reducing an otherwise months-long workload to a feasible timeline and making VRAM-intensive models practical to run. Notably, the experience suggests that international data transfer and latency were not limiting factors for this workload. At the same time, the overall workflow was reported as significantly more straightforward to use than typical cloud compute setups.
WHERE AND WHEN?
The session will take place from 11:00 to 11:45 AM via Zoom, the link will be provided with the registration. There will be a 20-30 minute presentation followed by an open forum for questions and discussion. The slides will be shared afterwards. We look forward to exciting discussions!
📝REGISTER HERE
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ABOUT THE SPEAKER
Akara Supratak is an Assistant Professor of Computer Science at Mahidol University, Associate Director of the Mahidol–Bremen Medical Informatics Research Unit (MIRU), and a member of the Mahidol AI Center. His work focuses on deep learning for biomedical signals and medical imaging, and scalable, reproducible AI experimentation. He actively supports international collaborations bridging real-world healthcare data and AI research.
