KEY TAKEAWAYS
- Michigan State University adopts Theta EdgeCloud to enhance AI research, becoming the second U.S. academic institution to use this decentralized GPU infrastructure.
- The SEIT Lab at MSU, led by Professor Qiben Yan, will leverage Theta’s platform to advance AI, cybersecurity, and distributed systems research.
- Theta EdgeCloud plans to expand its U.S. infrastructure, aiming for a beta release of its hybrid cloud-edge computing platform by June 2025.
- This partnership strengthens Theta’s academic network, supporting research in secure AI and blockchain-powered systems across top-tier universities globally.
Michigan State University (MSU) has announced its adoption of the Theta EdgeCloud platform to enhance its AI research capabilities. This move positions MSU as the second academic institution in the United States to utilize this decentralized GPU infrastructure, following the University of Oregon. The collaboration was announced here.
MSU’s Secure and Intelligent Things (SEIT) Lab, led by Associate Professor Qiben Yan, will leverage Theta’s infrastructure to drive advancements in AI, cybersecurity, and distributed systems. As a Tier 1 research institution, MSU’s involvement adds significant value to Theta’s academic collaborations in the U.S.
Expanding EdgeCloud Infrastructure
Theta EdgeCloud is set to expand its U.S. cloud-based GPU infrastructure with new locations in California, Texas, and the Midwest. By June 2025, the platform plans to release a beta version of its fully hybrid cloud-edge computing platform. This will incorporate an edge network of over 30,000 nodes operated by community members globally, with a substantial portion located in the U.S. and North America.
Professor Qiben Yan, an expert in IoT security, AI privacy, and blockchain resilience, directs the SEIT Lab. His research focuses on protecting connected devices and networks from cyber threats, with his work featured in top conferences such as USENIX Security and ACM CCS. The SEIT Lab specializes in developing secure systems for IoT and AI applications, emphasizing distributed systems and blockchain-powered platforms.
Benefits of Theta EdgeCloud for MSU
By adopting Theta EdgeCloud, the SEIT Lab gains access to a decentralized cloud platform that significantly accelerates the training and deployment of AI models. The platform reduces the time required to access GPU resources by up to five times compared to traditional cloud providers. This efficiency is expected to enhance research in secure AI, federated learning, and blockchain-powered systems.
This partnership strengthens Theta’s growing academic network, which includes collaborations with top-tier universities in the United States, China, and South Korea. These partnerships highlight Theta’s commitment to supporting academic research in tackling complex challenges across various sectors, including media, healthcare, bioinformatics, and finance.
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