Theta Labs is proud to announce Hankuk University of Foreign Studies (HUFS) as the newest EdgeCloud AI customer. Theta has gained significant traction in Korea academia recently with Korea University, Seoul Women’s University (SWU), KAIST, and Yonsei University utilizing its infrastructure to advance their AI research in various cutting edge fields. Theta also welcomed its first corporate customer, Jamcoding, one of the leading coding e-learning platforms.
HUFS is known for its excellence in research and global education,ranked among the top universities in Korea, specializing in AI, languages, and data convergence. Through this collaboration, LAB HAI at HUFS, led by Professor Ikbeom Jang, will leverage Theta EdgeCloud’s scalable EdgeCloud platform to accelerate projects such as LLM-based multimodal data training, neural network-based biomedical data compression, medical imaging and brain diseases, and loss function for accurate network calibration.
“Theta EdgeCloud is positioning itself as one of the leading GPU computing platforms for academia in Asia. Our partnership with Theta will enable us to rapidly scale up our multimodal medical AI research. In particular, LLM-based multimodal data learning utilizing H100 GPUs can be applied to a wide range of AI-based healthcare applications and will contribute to strengthening Korea’s AI technology competitiveness.” said Professor Ikbeom Jang.
Prof. Ikbeom Jang is a graduate director in the Department of Computer Science and Engineering at Hankuk University of Foreign Studies, where he is responsible for managing the department’s computer cluster.
He is actively conducting research on developing artificial intelligence and deep learning technologies and applying them to healthcare applications. Prior to that, he was a postdoctoral fellow at Massachusetts General Hospital, Harvard Medical School, and earned his Ph.D. in electrical and computer engineering from Purdue University, USA. LAB HAI has achieved many accomplishments in the past year and a half. A number of papers have been accepted and published in international conferences such as ICPR, CVPR, IEEE PICom, IEEE BigComp, and MICCAI workshop, and in journals such as Human Brain Mapping, Neurobiology of Aging, and PLOS One. Prof. Jang has been awarded research grants from multiple agencies including the National Research Foundation of Korea and the Centers for Disease Control and Prevention. LAB HAI members have participated in various conferences and academic activities, and have completed U.S. patent applications as well as received multiple awards and given invited lectures.
This multi-year agreement solidifies Theta Labs’ commitment to advancing AI research by providing cutting-edge decentralized GPU resources to prestigious institutions like HUFS. With over 33,000 students and a reputation as a leading university in Korea, HUFS will use Theta’s high-performance NVIDIA H100 GPUs to accelerate AI-driven healthcare innovation.
“We are thrilled to expand our presence in the academic sectors with the addition of Hankuk University of Foreign Studies to our growing EdgeCloud AI customer roster. This is a key milestone in expanding the use of decentralized computing in real-world applications. With HUFS joining Korea University, KAIST, Yonsei, and Seoul Women’s University, we are taking a leadership position in becoming the most widely adopted decentralized platform for AI computing. By providing HUFS with high-performance GPU resources, we are empowering their researchers to advance healthcare AI innovation, particularly in medical imaging and disease prediction.” said Mitch Liu, co-founder and CEO of Theta Labs.
