Yonsei University uses AWS Trainium and Theta Network’s EdgeCloud to transform AI agent research using scalable infrastructure.
Theta Network and AWS recently partnered to introduce Trainium and Inferentia, two bespoke Amazon AI chips, on the EdgeCloud platform.
We are pleased to announce that the Theta-AWS Trainium infrastructure will be used for a significant AI agent project by the Data & Language Intelligence Lab at Yonsei University, one of Korea’s most esteemed institutions, under the direction of Professor Dongha Lee.
Yonsei University is now a prestigious institution-level user of Trainium-powered instances, marking a key milestone for Theta Network and demonstrating our dedication to providing a variety of GPU and next-generation AI chip resources suited to our clients’ demands.
This comes after Theta EdgeCloud hybrid, the first decentralized AI platform to incorporate AWS’s state-of-the-art AI silicon, was approved.
As the first blockchain network to use Amazon’s next-generation chipsets, Theta offers unparalleled performance for AI, video, and media workloads.
Theta EdgeCloud Hybrid, AWS Trainium Research By Yonsei University
Yonsei University intends to create a scalable, replicable framework for conversational recommendation agents by employing AI-simulated users and automated evaluation models in high-performance deep learning training on AWS Trainium Trn1 instances.
Using paired preference signals from simulated talks, the system will use Direct Preference Optimization (DPO) to improve chatbot models without requiring operator labeling.
This framework, which runs on AWS Trainium through the Neuron Kernel Interface (NKI) deployed on Theta EdgeCloud Hybrid, can evaluate and improve models instantly within a hardware-optimized loop, guarantee deterministic, reproducible training at scale, and simulate millions of realistic user interactions daily.
This significantly speeds up academic AI R&D cycles. Its potential can be expanded across industries by supporting goal-oriented conversational AI agents such as tutoring systems, task planners, customer service bots, and others, in addition to recommendation systems.
This Collaboration Is Significant As:
- First decentralized platform approved by AWS to integrate its custom AI silicon Trainium and Inferentia.
- First blockchain network to deploy Amazon’s next-generation AI chipsets for real-world workloads.
- First institution-level customer to adopt Trainium-powered Theta EdgeCloud hybrid for advanced AI research.
What People Are Saying
“Theta EdgeCloud has been an integral part of our research infrastructure over the past year. It’s been fantastic to collaborate closely with Theta and AWS in the past few months, and with the addition of AWS Trainium, we can now scale our experiments faster, more efficiently, and with greater reproducibility. This enables us to push the boundaries of conversational AI and recommendation systems in ways that were previously not practical.” Said Professor Dongha Lee.
The lab has garnered significant recognition in the international AI community over the past year under Professor Lee’s direction, which has been reinforced by their substantial use of Theta EdgeCloud Hybrid to power and scale their research.
“Yonsei University’s adoption of AWS Trainium on EdgeCloud hybrid is a perfect example of how decentralized blockchain infrastructure and cutting-edge AI hardware can work hand-in-hand to accelerate world-class research. Professor Lee and his team have consistently produced groundbreaking work, and we’re proud to provide the GPU compute power that will help them achieve even greater milestones. This collaboration sets a benchmark for how academic institutions can leverage decentralized cloud technology to lead the next wave of AI innovation.” said Mitch Liu, Co-founder and CEO of Theta Labs.
