The Dispersed Network connects Node Operators (who provide computing power) with Service Consumers (who run computational workloads).Documentation Index
Fetch the complete documentation index at: https://otoyinc.mintlify.app/llms.txt
Use this file to discover all available pages before exploring further.
- Node Operators register their GPU-equipped machines on the network
- Service Consumers submit Jobs specifying hardware requirements
- The network matches Jobs to available Nodes
- Nodes execute Jobs in isolated Docker containers
- Operators earn RENDER rewards for completed work
Choose Your Path
Node Operator
Contribute GPU compute power to the network and earn RENDER rewards.
- Register your GPU machine as a Node
- Earn rewards for running compute jobs
- Monitor your Node’s performance
Service Consumer
Run computational workloads on the distributed GPU network.
- Run GPU workloads (AI inference, rendering, etc.)
- Access remote GPU machines via SSH
- Use the API to manage Jobs programmatically
Quick Links
| Resource | Description |
|---|---|
| API Reference | Interactive OpenAPI documentation |
| Terminology | Terms and concepts |
| Troubleshooting | Common issues and solutions |