- THETA Network will launch its Theta EdgeCloud Hybrid Beta on June 25, 2025.
- Theta EdgeCloud is a decentralized platform that provides high-performance computing, combining traditional cloud GPUs with community-operated edge nodes.
- The platform supports AI, video processing, and 3D rendering, and serves major academic institutions and enterprise clients.
- Contributors earn TFuel by renting out their GPUs, while users can access scalable GPU resources at market rates.
- EdgeCloud clients require specific hardware and software to participate, with payments issued in TFuel monthly.
Theta Network announced the beta release of its Theta EdgeCloud Hybrid platform set for June 25, 2025. The platform is a decentralized system designed to power large-scale, high-performance computing by integrating traditional cloud graphics processing units (GPUs) with a network of community-run edge nodes. The service aims to meet the growing demand for advanced computing for Artificial Intelligence (AI), video processing, and 3D rendering tasks.
Theta EdgeCloud connects organizations and individuals who need GPU resources with those who have spare GPU capacity. Contributors, also known as node operators, can earn rewards denominated in TFuel, Theta Network‘s native token, by renting out their GPUs. The marketplace model allows users to select nodes based on pricing and performance, with node operators setting their own hourly rates. Payments are calculated in U.S. dollars and converted to TFuel, and are distributed monthly between the first and fifth of each month.
Among its current users, Theta EdgeCloud serves academic institutions such as Stanford University, Seoul National University, KAIST, Yonsei University, University of Oregon, Michigan State University, and NTU Singapore for research in AI. Enterprise clients include sports organizations like the NHL’s Las Vegas Knights, NBA’s Houston Rockets, and esports teams FlyQuest and Evil Geniuses.
The EdgeCloud Client is the lightweight software that allows individuals to contribute GPU power. Recommended participation requires an NVIDIA 3090, 4090, A100, H100 or similar with at least 8GB video RAM, a minimum of 16GB system RAM, an Intel or AMD CPU with four or more cores, at least 256GB free storage, a network speed of at least 100 Mbps, and running on Ubuntu 22.04+ (recommended) or Windows 10/11 (Alpha support). Systems meeting these specifications are more likely to be chosen for high-reward jobs. Consistent internet connectivity, power supply, and adequate cooling are advised due to the heavy use of the GPU during these tasks.
Prospective users can begin by installing the EdgeCloud client following the official documentation provided by Theta Labs. The platform targets users familiar with traditional cloud service providers and positions itself as a scalable, cost-effective alternative for both individual contributors and organizations seeking advanced GPU infrastructure.
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