June 25, 2025 marks a major milestone for the Theta Network with the launch of the Theta EdgeCloud Hybrid Beta — a decentralized platform built to power high-performance computing at scale.
With a hybrid architecture that leverages both traditional cloud GPUs and community-run edge nodes, EdgeCloud is designed to support AI inference, video processing, 3D rendering, and more.
Whether you’re contributing GPU power or submitting workloads to be completed on EdgeCloud, this FAQ will help you get started.
What Is Theta EdgeCloud?
Theta EdgeCloud is a decentralized GPU compute marketplace. It connects those who need access to GPU resources with those who have unused GPU capacity. Contributors can earn rewards in TFuel, while developers and organizations gain access to scalable, cost-efficient infrastructure.
Theta EdgeCloud now serves customers including Stanford University, Seoul National University, KAIST, Yonsei University, the University of Oregon, Michigan State University, and NTU Singapore for academic AI research.
Enterprise clients include major sports teams such as the NHL’s Las Vegas Knights, NBA’s Houston Rockets, and global esports teams FlyQuest and Evil Geniuses.
For Node Operators: Contribute Your GPU and Earn TFuel
- What is the EdgeCloud Client?
The EdgeCloud Client is a lightweight software package that lets you contribute your GPU power to Theta EdgeCloud. Once installed, your machine becomes part of a global infrastructure capable of running containerized jobs.
- System Requirements
Recommended hardware:
Machines meeting the above specs will be much more likely to get high-reward jobs. Moreover, clients who are used to cloud services like AWS or GCP may come with high expectations, so it’s a good idea to aim for consistent uptime.
When being used, the GPU will likely be running near full capacity, so make sure your internet connection, power supply, and cooling systems are in good shape.
- How Are Rewards Calculated?
- Getting Started
To install and run the EdgeCloud client, follow the official documentation:
Command-line (CLI) and RPC API references are also available for advanced users
For Job Submitters: Run High-Performance Workloads on EdgeCloud
- What Types of Jobs Can I Run?
Theta EdgeCloud supports any containerized job requiring GPU acceleration, including:
Jobs are routed to the most optimal mix of edge and cloud GPUs for efficient and cost-effective processing.
- Submitting a Job
You can submit containerized jobs on Theta EdgeCloud to be completed on community-run GPUs using this guide. There are three initial ways to leverage community Edge Nodes:
Use Community Nodes as GPU Machines with SSH Access
2. Dedicated Model Deployment Onto Community Nodes
3. On-demand Model APIs Leveraging Community Nodes
- Can I Select Specific GPUs?
Yes. Users can filter available nodes based on:
This flexibility helps users balance cost and speed based on their project requirements.
- What Happens If a Node Goes Offline?
EdgeCloud supports:
If a node goes offline mid-task, the system will reroute the job to another available GPU to ensure completion without manual intervention.
Developer Features in Beta
Who Should Use Theta EdgeCloud?
Theta EdgeCloud is designed for:
Resources
For updates and support, visit the Theta community or follow Theta Network on X.
