Kangwon National University joins as new EdgeCloud AI customer

Theta is proud to announce its latest academic customer, Kangwon National University Data Analytics & Machine Intelligence (DAMI) Lab, led by Professor Kyeongpil Kang.

Kangwon National University is Theta EdgeCloud’s 23rd AI and video customer which marks a significant milestone, collectively achieving over 85% GPU utilization rate across its worldwide network and over 230 million TFUEL locked by Elite Booster node operators. Theta EdgeCloud is proud to power a number of leading enterprises such as NHL’s Las Vegas Knights and global esports teams including FlyQuest and Evil Geniuses, and top-tier academic institutions — Seoul National University, KAIST, University of Oregon, Michigan State University, and Singapore’s renowned research institution NTU — expanding its role in advancing AI research and real world applications.

About Professor Kyeongpil Kang and DAMI Lab

Professor Kyeongpil Kang is an Assistant Professor in the Department of Computer Science and Engineering at Kangwon National University, specializing in natural language processing (NLP), machine learning, and data mining. He earned his Ph.D. in Computer Science from Korea University, where he studied under Professor Jaegul Choo, and later worked as a machine learning researcher at SK Telecom AI Center, Scatter Lab, and Liner before joining academia.

The Data Analytics & Machine Intelligence (DAMI) Lab at Kangwon National University focuses on large-scale AI research, with expertise in natural language processing, multimodal AI, and knowledge extraction.

The lab focuses on:

• Natural Language Processing & Large Language Models (LLMs): Researching LLM fine-tuning, Chain of Thought (CoT), Retrieval-Augmented Generation (RAG), and AI Alignment. DAMI Lab also explores LLM Agent performance optimization and simulation-based learning.
• Machine Learning & Deep Learning: Addressing domain-specific AI challenges by constructing training datasets and developing deep learning solutions for real-world applications.
• Data Mining & AI-Driven Insights: Applying machine learning and LLM-powered analytics to fields such as social sciences and medical AI, uncovering insights to tackle complex problems.

Advancing AI Research with Theta EdgeCloud

DAMI Lab will leverage Theta EdgeCloud, the first hybrid cloud-edge GPU computing platform, to drive innovation in natural language processing (NLP), machine learning, and data mining. Through this collaboration, DAMI Lab researchers will also gain access to Theta’s decentralized GPU infrastructure, providing cost-effective, scalable AI computing power to advance LLM training, multi-agent AI systems, and multimodal learning applications.

• Enhance NLP & LLM Models: Train advanced language models with scalable, high-performance GPU computing.
• Develop Robust Multi-Agent AI Systems: Experiment with multi-agent debate models and adversarial AI.
• Power AI at the Edge: Deploy AI models in real-time environments using Theta’s hybrid cloud-edge architecture.

Optimize AI Training Efficiency: Leverage Theta’s distributed computing framework to run cost-efficient, large-scale AI experiments.

Kangwon National University joins as new EdgeCloud AI customer was originally published in Theta Network on Medium, where people are continuing the conversation by highlighting and responding to this story.