Theta

Ewha Womans University in South Korea has recently joined Theta's expanding academic partner network by adopting the Theta EdgeCloud Hybrid and its mobile edge network. The PAI Lab, led by Assistant Professor Junhyug Noh from the Department of Artificial Intelligence, is dedicated to developing practical AI technologies that can adapt to various real-world applications. Their research encompasses object recognition, weakly and semi-supervised learning, domain adaptation, and robust learning methods, aiming to enhance model performance while minimizing the need for labeled data. The lab is also exploring multi-modal learning and AI applications in fields such as medicine and process automation. The Theta EdgeCloud Hybrid stands out as the world's first decentralized hybrid GPU platform, integrating thousands of community-run NVIDIA GPUs alongside high-end models like A100s and H100s. This innovative infrastructure allows academic teams like the PAI Lab to conduct experiments with increased flexibility and reduced costs compared to traditional cloud services. The platform supports a range of AI research activities, including training large language models and deploying generative AI workloads, making it an attractive option for researchers seeking to push the boundaries of AI technology. Mitch Liu, CEO and Co-Founder of Theta Labs, expressed excitement about the partnership with Ewha Womans University, emphasizing the lab's commitment to advancing practical AI solutions. He highlighted that Theta EdgeCloud Hybrid and the mobile Android edge network are specifically designed to facilitate high-impact research that traditional cloud providers struggle to support effectively. As Ewha Womans University continues to build its reputation as a leading institution for AI research, this collaboration is expected to yield significant advancements in the field of artificial intelligence.

Hivello, a decentralized physical infrastructure network (DePIN) aggregator, has announced the integration of its 11th DePIN network, Theta Network. This collaboration aims to enhance user earnings by allowing individuals to monetize their idle computing resources across multiple DePINs. Theta Network is recognized for its decentralized infrastructure supporting video, AI, and entertainment, making it a strategic addition to Hivello's platform. By connecting to Theta, users can efficiently utilize their idle GPU and CPU resources, thereby expanding their earning potential within the Hivello ecosystem. The integration of Theta Network reflects Hivello's commitment to simplifying access to decentralized technology and promoting broader adoption of DePINs. Domenic Carosa, Co-founder and Chairman of Hivello, emphasized that this partnership not only opens up new earning opportunities for users but also strengthens the stability and growth of key players in the decentralized space. Hivello aims to create a user-friendly experience, enabling anyone to contribute to decentralized infrastructure networks without requiring technical expertise. This approach is designed to democratize access to DePINs and empower users to earn passive income from their existing resources. Hivello's mission is to eliminate technical barriers that often deter users from participating in DePIN networks. By providing a straightforward app that allows users to mobilize their idle computers, Hivello is making complex technologies accessible and beneficial for all. The integration with Theta Network is a significant milestone in Hivello's journey to become the most comprehensive aggregator of DePIN projects, reinforcing its role as a central hub for decentralized infrastructure initiatives. As the DePIN ecosystem continues to evolve, Hivello remains dedicated to fostering user engagement and maximizing earning potential through innovative partnerships.

Yonsei University has embarked on a groundbreaking initiative by integrating AWS Trainium with Theta EdgeCloud to enhance its AI agent research. This collaboration signifies a pivotal moment as Theta Network becomes the first blockchain to deploy Amazon's advanced AI chips. The Data & Language Intelligence Lab, led by Professor Dongha Lee, aims to scale AI research while optimizing performance and reducing costs. The use of AWS Trainium allows the lab to leverage a decentralized infrastructure for high-performance deep learning, providing specialized hardware that enables training AI models at significantly lower costs, thus enhancing efficiency and reproducibility in large-scale experiments. The innovative research at Yonsei focuses on developing conversational recommendation agents that simulate human-like interactions. Instead of traditional human evaluators, the lab employs AI-simulated users with distinct memory and personality traits to assess models in real-time. This approach utilizes Direct Preference Optimization (DPO) for model training, which allows agents to refine their responses without manual labeling. Consequently, the research team can simulate millions of user interactions daily, expediting the evaluation and improvement of their AI models, leading to faster iterations and increased accuracy. The partnership between Theta Network and AWS not only provides a cost-effective solution for AI research but also enhances scalability. With AWS Trainium instances designed specifically for deep learning tasks, institutions like Yonsei can experiment with large models and extensive datasets without incurring significant financial burdens. The integration of Trainium with Theta EdgeCloud's extensive network of over 30,000 NVIDIA GPUs offers researchers the flexibility to select optimal computing resources for their workloads. This collaboration marks a new era in AI research, showcasing how decentralized infrastructure and advanced AI hardware can revolutionize academic research and development in the field of artificial intelligence.

The Theta ecosystem is witnessing significant growth and adoption across various sectors, including sports, media, academia, and AI startups. In the latest July roundup, it was announced that AWS has approved EdgeCloud as the first decentralized platform to integrate its advanced AI silicon, AWS Trainium and Inferentia. This marks a pivotal moment for Theta, as it positions itself at the forefront of AI and decentralized technology integration. In the sports domain, the NHL's San Jose Earthquakes have launched a Theta-powered Quakebot, showcasing the practical applications of Theta's technology in enhancing fan engagement and experience. Additionally, Theta has been added to Crypto.com's institutional custody platform, further solidifying its presence in the cryptocurrency space. The academic sector continues to embrace Theta, with institutions like Syracuse University, George Mason University, and Hongik University becoming the latest customers of EdgeCloud, indicating a growing interest in decentralized solutions for research and development. The private sector is also taking notice, as AI startup Hypernology begins utilizing EdgeCloud for its operations. Furthermore, esports organizations Gen.G and Dignitas have launched their own agentic AI bots built on EdgeCloud, highlighting the versatility of Theta's technology in various industries. As preparations for the ThetaEuroCon conference in September ramp up, Simon Piazolo will be hosting a Theta developer workshop in Berlin, aiming to foster community engagement and innovation within the Theta ecosystem. Overall, these developments reflect a robust trajectory for Theta as it continues to expand its influence across multiple domains.

Theta Network is making significant strides in expanding its presence in the U.S. by partnering with Syracuse University, which has adopted the Theta EdgeCloud Hybrid platform for AI research. This collaboration is spearheaded by Assistant Professor Junzhe Zhang, who specializes in causal inference theory and its applications in artificial intelligence, reinforcement learning, and machine learning. The partnership comes shortly after Theta's strategic alliance with Crypto.com, which has staked 15 million THETA tokens to Theta's Enterprise Validator Node, enhancing secure asset management and institutional access to THETA and TFUEL tokens. Professor Zhang, a Tenure-Track Assistant Professor at Syracuse University, has a distinguished background, having previously worked at Columbia University's Causal AI Lab. His research focuses on developing robust decision-making systems that can handle biased or incomplete data. The Theta EdgeCloud Hybrid platform, which combines community-run GPUs with high-performance options, provides the necessary infrastructure for his lab to conduct large-scale experiments efficiently. Professor Zhang emphasized that Theta's unique decentralized hybrid GPU infrastructure allows for flexibility and scalability in their AI research, which is crucial for advancing their work in causal reinforcement learning. With Syracuse University becoming the 24th academic institution to integrate Theta EdgeCloud Hybrid, Theta Network is solidifying its position in the U.S. AI research ecosystem. Other notable institutions include Stanford University and the University of Oregon. The hybrid GPU platform enables researchers to perform various AI tasks, including training large language models and conducting simulations, all while reducing costs and setup times compared to traditional cloud providers. Mitch Liu, CEO of Theta Labs, expressed enthusiasm about the partnership with Syracuse University and Crypto.com, highlighting the importance of these collaborations in expanding Theta's footprint in both AI research and institutional infrastructure across the United States.

Theta Network and AWS Join Forces to Launch Custom Amazon AI Chips Trainium & Inferentia on EdgeCloud Powered by Amazon. Decentralized by Theta. The first blockchain network to harness custom AI silicon from the world’s largest cloud service provider. Now seamlessly integrated into EdgeCloud Hybrid. Theta and AWS have spent the past several years collaborating on multiple technical fronts and over the last six months, the two teams have worked in close collaboration to seamlessly integrate their platforms. Recognizing Theta EdgeCloud Hybrid as the de facto leader in decentralized cloud infrastructure, trusted by dozens of global academic institutions, professional sports franchises, and top-tier esports organizations, AWS has taken a major step forward. For the first time, AWS has approved a decentralized platform to integrate its cutting-edge AI silicon: AWS Trainium and Inferentia EC2 instances. This milestone makes Theta the first blockchain network to deploy Amazon’s next-generation chipsets, delivering unmatched performance for AI, video and media workloads. Combined with over 30,000 NVIDIA GPUs contributed by the Theta community, EdgeCloud Hybrid now offers a globally distributed compute layer with unprecedented performance-to-cost efficiency — marking a breakthrough moment in the evolution of cloud services. Secured by THETA blockchain and powered by TFUEL payments, global customers can now access the best of AWS compute and Theta’s decentralized GPU marketplace, all through a single integrated EdgeCloud user interface.