- Syracuse University has adopted the Theta EdgeCloud Hybrid platform to support AI and machine learning research.
- The move supports projects led by Assistant Professor Junzhe Zhang, focusing on causal inference and reinforcement learning.
- This follows Theta’s partnership with crypto.com, which has enabled institutional-grade custody for THETA and TFUEL tokens in the U.S.
- Syracuse is the 24th academic institution to use Theta EdgeCloud Hybrid, joining others like Stanford University and Seoul National University.
- Theta EdgeCloud Hybrid provides a decentralized GPU platform, enabling large-scale AI experiments at lower costs with greater flexibility.
Syracuse University has integrated the Theta EdgeCloud Hybrid platform into its research initiatives. The university aims to use the decentralized GPU infrastructure to support projects by Assistant Professor Junzhe Zhang, whose work addresses challenges in Artificial Intelligence, machine learning, and reinforcement learning.
The announcement comes shortly after Theta Labs partnered with Crypto.com for U.S.-based custody solutions. In this collaboration, 15 million THETA tokens have been staked through Crypto.com‘s institutional-grade custody services. This partnership offers secure digital asset management and improved institutional access to THETA and TFUEL tokens.
Professor Junzhe Zhang, part of the university’s Department of Electrical Engineering and Computer Science, leads research focused on building reliable decision-making systems for biased or incomplete datasets. His work, recognized at top conferences such as NeurIPS and ICML, explores areas including confounding bias and causal reinforcement learning. “Theta’s unique decentralized hybrid GPU infrastructure provides exactly what we need to scale our causal inference and reinforcement learning experiments with both efficiency and flexibility,” Zhang said. He cited the platform’s combination of community-run GPUs and high-performance units, including A100s, H100s, AWS Inferentia, and Trainium instances, as critical to his lab’s work.
With this implementation, Syracuse University becomes the 24th academic institution to adopt Theta EdgeCloud Hybrid. Other participating universities include Stanford, University of Oregon, George Mason University, Seoul National University, and NTU Singapore. Theta EdgeCloud Hybrid offers thousands of GPUs contributed by community members and cloud providers, allowing academic and research teams to conduct scalable experiments quickly and at reduced costs compared to traditional providers.
The platform is used by Professor Zhang’s lab to advance research in causal inference, fairness analysis, and generative models. It supports workloads such as large language model training, counterfactual reasoning, and reinforcement learning simulations. According to Theta Labs CEO Mitch Liu, “With Syracuse University joining as our 24th academic partner and our recent strategic custody partnership with Crypto.com, Theta is rapidly expanding our U.S. footprint across both AI research and institutional infrastructure.”
This recent expansion builds on Theta Labs‘ broader U.S. push, driven by the Crypto.com partnership. Crypto.com’s custody solution now offers institutional investors secure management and access to Theta’s suite of digital tokens.
The Theta EdgeCloud Hybrid platform provides an alternative to legacy cloud computing, allowing research teams to access distributed computing resources on demand. This enables quicker setup, greater research flexibility, and cost savings for large and small-scale AI projects.
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