Latest Theta News

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.

Dignitas, a prominent name in the esports arena, has announced a groundbreaking partnership with Theta Network to launch an AI agent named 'Digi.' This innovative AI assistant is designed to enhance fan engagement and streamline tournament administration for Dignitas' community of over 70,000 members on their Discord server. Built on Theta Network's decentralized GPU infrastructure, Digi will serve as a real-time resource for tournament support and community assistance, transforming how fans interact with the organization and participate in events like DIGFort, Dignitas’ competitive Fortnite tournament server. Digi aims to revolutionize the tournament experience for players by providing instant support during competitions. Players can interact with the AI to get immediate answers regarding rules, point systems, schedules, and other procedural inquiries. This functionality will not only enhance communication but also allow human administrators to focus on more complex issues, resulting in smoother and more efficient tournaments. According to Jake Clements, Vice President of Partnerships for Dignitas, the initiative is about creating a deeper connection with the community, ensuring that both fans and players have their needs met promptly and effectively. The collaboration with Theta Network marks a significant step in integrating advanced technology into esports. As one of the largest fan community hubs in competitive gaming, Dignitas is well-positioned to test and implement AI-driven solutions that cater to the needs of passionate esports fans. The launch of Digi on July 23rd will initially focus on Discord integration and tournament administration, showcasing how AI can enhance community engagement while addressing operational challenges. Mitch Liu, CEO of Theta Labs, emphasized the importance of providing interactive experiences for esports fans, highlighting the potential of this partnership to redefine fan engagement in the industry.

On July 19, 2025, Theta Labs announced a significant partnership with the Security of Emerging Computer Systems And Technologies (SECSAT) Lab at George Mason University (GMU). Led by Assistant Professor Xiaokuan Zhang, Ph.D., the SECSAT Lab will utilize Theta EdgeCloud Hybrid to enhance its research in system security and privacy. This collaboration aims to address critical security challenges in emerging technologies such as eXtended Reality (XR), Decentralized Finance (DeFi/Web3), and memory-safe programming languages like Rust. Professor Zhang's SECSAT Lab is recognized for its innovative projects, including VPVet, which automates the vetting of privacy policies in virtual reality applications. The lab's research has received numerous accolades, highlighting its contributions to the fields of cybersecurity and privacy. By leveraging Theta's hybrid GPU platform, the lab aims to scale its research efforts efficiently, utilizing a combination of cost-effective NVIDIA GPUs and high-performance models to explore advanced AI-driven security testing and blockchain infrastructure analysis. The partnership with GMU adds to Theta EdgeCloud Hybrid's growing network, which includes 22 universities and various professional sports teams. The SECSAT Lab will focus on XR security, cross-chain bridge behavior in DeFi, and enhancing memory safety in Rust systems. Mitch Liu, CEO of Theta Labs, emphasized the advantages of decentralized infrastructure over traditional centralized cloud providers, noting that Theta EdgeCloud Hybrid stands as a leading solution for decentralized cloud computing, poised to challenge established giants like Microsoft and Amazon in the AI and blockchain sectors.

Theta Network has announced the addition of Hongik University as the 21st academic customer of its EdgeCloud Hybrid platform. The High-Performance Data Processing & Analysis Lab at the university, led by Associate Professor Eun-Sung Jung, will collaborate with Theta as a research partner. The lab specializes in scalable computing platforms for AI, distributed systems, IoT, and cloud-native architectures, receiving support from various Korean governmental organizations and international institutions. This partnership aims to leverage Theta EdgeCloud Hybrid, the first decentralized hybrid GPU platform, to enhance research in AI model training, big data workflows, and real-time IoT systems. Professor Jung expressed enthusiasm about the collaboration, stating that Theta’s EdgeCloud Hybrid provides a valuable resource for advancing their data-driven research. The lab will utilize high-performance and cost-effective GPU capacity, particularly the NVIDIA 3000s and 4000s series, to accelerate their work in AI/ML, big data infrastructure, and edge-based IoT analytics. The lab's research focuses on high-performance computing for AI/ML, cloud computing for big data, and IoT data analysis, aiming to solve large-scale computing challenges in both academic and industrial settings. By joining a global network of prestigious institutions utilizing EdgeCloud Hybrid, including Stanford University and Seoul National University, Hongik University reinforces Theta’s mission to support open and scalable AI development through decentralized computing. Mitch Liu, CEO and Co-Founder of Theta Labs, highlighted the appeal of EdgeCloud due to the availability of high-performance NVIDIA A100s and H100s, as well as community-run NVIDIA 3090s and 4070s/4080s/4090s, which became accessible in the GPU marketplace on June 25. This partnership is expected to significantly advance research capabilities in AI and IoT fields.

The Theta ecosystem is witnessing significant advancements as it gains traction across various sectors including sports, media, academia, and AI startups. In the latest June Roundup, several noteworthy developments have been highlighted. One of the major updates comes from EdgeCloud, which has launched EdgeCloud Hybrid, a decentralized GPU marketplace catering to both consumer and enterprise users. This innovation is expected to enhance the accessibility and efficiency of GPU resources within the Theta network. In the realm of sports, the NBA's Houston Rockets have officially introduced ClutchBot, an AI-powered mascot developed with EdgeCloud technology. Additionally, Major League Soccer's Philadelphia Union has announced plans to launch a new fan app that will leverage Theta's capabilities. These initiatives signify a growing trend of integrating blockchain technology into sports, enhancing fan engagement and interaction. Furthermore, ThetaCrypto.com has opened trading for THETA and TFUEL to U.S. users, coinciding with a new marketing and trading campaign aimed at expanding its user base. Esports continues to embrace the Theta ecosystem, with prominent organizations like Gen.G and Sheep Esports launching new AI bots on EdgeCloud. Moreover, Theta has joined Aethir's AI Unbundled Web3 x AI Alliance, further solidifying its position in the AI and blockchain intersection. AlphaCrypto has also introduced new trading analysis features powered by EdgeCloud, while EdgeCloud has added support for the DeepSeek R1 LLM. Looking ahead, the premier Theta hackathon, BlockJam, is set to take place during ThetaEuroCon in Berlin this September, promising to be a significant event for developers and enthusiasts alike.

Theta EdgeCloud has unveiled an innovative feature: a large language model (LLM) inference service that provides distributed verifiability. This groundbreaking service allows AI agents and chatbots to perform LLM inference that is both trustworthy and independently verifiable, a first in the industry. By leveraging blockchain-backed public randomness beacons, Theta EdgeCloud combines advanced AI technology with the decentralized and trustless nature of blockchain, making it the only platform to offer such capabilities among both crypto-native and traditional cloud services. This development is particularly significant for sectors like enterprise and academia, where the integrity of computational outputs is crucial. The need for trust in AI outputs has become increasingly important as modern AI agents depend heavily on LLMs for generating responses and executing complex tasks. Traditionally, many frameworks have relied on centralized LLM APIs or hardware-enforced security, which can compromise the reliability of results. The introduction of DeepSeek-V3/R1, an open-source alternative to proprietary LLMs, paves the way for full-stack verification. Theta EdgeCloud has taken this a step further by implementing a Distributed Verifiable Inference system, ensuring that LLM outputs are reproducible and tamper-proof, even from the service provider itself. The newly released industry-grade verifiable LLM inference engine is integrated into Theta EdgeCloud, achieving public availability through deterministic token probability and verifiable sampling. By utilizing open-source models, users can independently verify the next-token probability distribution. The incorporation of a publicly verifiable random seed ensures that the sampling process is reproducible and transparent. This two-part design guarantees that no party can tamper with the model output, thereby enhancing the integrity of AI outputs. As AI continues to permeate various aspects of life and commerce, the ability to verify and trust these outputs will be essential for safety and security, marking a significant advancement in the field of AI.