Theta and AWS Boost AI Research with Yonsei's Trainium Adoption

Theta Network and AWS recently joined forces to launch custom Amazon AI chips Trainium & Inferentia on the EdgeCloud platform. We’re proud to share that one of Korea’s most prestigious institutions, Yonsei University’s Data & Language Intelligence Lab, led by Professor Dongha Lee, will be utilizing the Theta-AWS Trainium infrastructure for a major AI agent project.

This marks a significant milestone as Theta Network welcomes Yonsei University as a marquee institution-level user of Trainium-powered instances, reflecting our commitment to offering diverse GPU and next-gen AI chip resources tailored to customer needs. This follows AWS’ approval of Theta EdgeCloud hybrid as the first decentralized AI platform to integrate its cutting-edge AI silicon.

Theta is the first blockchain network to deploy Amazon’s next-generation chipsets and deliver unmatched performance for AI, video, and media workloads.

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Yonsei’s Research with AWS Trainium and Theta EdgeCloud Hybrid

Yonsei plans to use AWS Trainium Trn1 instances for high-performance deep learning training, utilizing AI-simulated users and automated evaluation models to develop a scalable, reproducible framework for conversational recommendation agents.

The system will refine chatbot models through Direct Preference Optimization (DPO), using pairwise preference signals from simulated conversations without the need for manual labeling.

Running on AWS Trainium via the Neuron Kernel Interface (NKI) deployed on Theta EdgeCloud Hybrid, this framework can simulate millions of realistic user interactions per day, evaluate and improve models instantly within a hardware-optimized loop, and ensure deterministic, reproducible training at scale.

This vastly accelerates AI R&D cycles in academia. Beyond recommendation systems, it can be extended to support customer service bots, task planners, tutoring systems, and other goal-oriented conversational AI agents, amplifying its potential across industries.

This collaboration is significant as:

1. First decentralized platform approved by AWS to integrate its custom AI silicon Trainium and Inferentia.
2. First blockchain network to deploy Amazon’s next-generation AI chipsets for real-world workloads.
3. First institution-level customer to adopt Trainium-powered Theta EdgeCloud hybrid for advanced AI research.

By bringing AWS Trainium’s high-performance, cost-efficient capabilities together with Theta EdgeCloud’s globally distributed network of over 30,000 NVIDIA GPUs, researchers now gain unprecedented flexibility to choose the right compute for the right workload – whether training billion-parameter language models, running large-scale inference, or powering next-generation generative AI applications.

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.

Over the past year, under Professor Lee’s leadership, the lab has achieved remarkable recognition in the global AI community, further strengthened by their extensive 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

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