Theta Labs and KAIST AI Partner to Accelerate AI Model Training with EdgeCloud Technology
7/23/24
By:
Rohan Kapoor
Theta Labs and KAIST AI Partner to Accelerate AI Model Training with EdgeCloud Technology
Theta Labs Enters Academia with KAIST AI Partnership
Theta Labs has marked a significant milestone in 2024 with the release of EdgeCloud and now announces a groundbreaking partnership with KAIST AI. This multi-year agreement will see KAIST AI, a global leader in AI research, utilizing Theta EdgeCloud for advanced computer vision and natural language processing projects.
KAIST AI: The MIT of Korea
Often referred to as the “MIT of Korea,” KAIST has consistently been at the forefront of machine learning research. Their adoption of Theta EdgeCloud underscores the platform’s capabilities and its potential to revolutionize AI infrastructure in a decentralized manner.
Leadership of Professor Jaegul Choo
Central to this collaboration is Professor Jaegul Choo, an Endowed Chair Professor at KAIST. His team will leverage Theta EdgeCloud for innovative projects, including their recent breakthrough, StableVITON. This model exemplifies the power of AI in fashion, seamlessly superimposing clothing onto images while maintaining individual features and poses with remarkable accuracy.
Unique Hybrid Architecture of Theta EdgeCloud
Theta EdgeCloud’s distinctive hybrid architecture sets it apart. As Professor Choo explains, “EdgeCloud is the only hybrid platform in the market where AI jobs can be optimized for price, performance, and routed to either high-performing cloud GPUs or desktop GPUs as needed.” This flexibility allows researchers to tailor computing resources to specific project needs, maximizing efficiency and cost-effectiveness.
Future Collaborations and Expansions
The partnership between KAIST AI and Theta Labs is poised to achieve more milestones. Their next goal is to expand the StableVITON model to include new wearables and complex objects like hats. This GPU-intensive task will utilize Theta EdgeCloud’s cluster of high-performance GPUs, pushing the boundaries of AI-driven fashion technology.
Broad Implications for Academic Research
For Theta Labs, this collaboration represents a major entry into the academic research sector. With over 30,000 distributed edge nodes and partnerships with Google Cloud and Amazon Web Services, Theta EdgeCloud offers over 80 PetaFLOPS of distributed GPU compute power. This makes it an ideal solution for the resource-intensive tasks demanded by cutting-edge AI research.
Final Thoughts
The implications of this partnership extend far beyond the academic world. As Mitch Liu, co-founder and CEO of Theta Labs, highlights, “This unlocks a market opportunity of over 30,000 universities worldwide, with multiple AI research groups and labs spending billions annually on GPU-intensive AI tasks.” Theta Labs and KAIST AI are paving the way for future innovations in decentralized AI research and applications.
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