Smart ContractArchitecture
How It Works
Source Publication
Clients publish containerized execution models (sources) that include code, dependencies and execution parameters. These serve as reusable definitions for future tasks submitted to the network.
Task Submission
Clients submit tasks referencing their published sources. Each task includes execution parameters, input data and a reward paid in OpenGPU tokens.
Provider Registration
Providers scan available sources and register to those matching their GPU capabilities and profitability goals. This forms specialized pools for different workloads and GPU types.
Competitive Execution
Providers compete to execute tasks and submit the first valid output. This drives:
- Optimal pricing through market dynamics
- Minimal execution time
- Higher quality outputs via computation consensus
Market Efficiency
This competitive supply-and-demand model forms a self-regulated marketplace where high-demand tasks attract more providers, pricing adjusts automatically to network conditions, and providers optimize their hardware to maximize returns. Clients receive the best performance for their budget without manual scheduling. The protocol's native integration with the OpenGPU Layer-1 enables exceptional throughput and transparency compared to typical decentralized compute networks.
Protocol Security
Task Verification
Each result undergoes cryptographic checks before acceptance.
Provider Reputation
Historical accuracy and reliability are tracked on-chain.
Secure Containers
Execution environments are isolated and hardened for safety.
Consensus Mechanism
For critical tasks, multiple providers validate results to ensure correctness.
Future Development
This competitive supply-and-demand model forms a self-regulated marketplace where high-demand tasks attract more providers, pricing adjusts automatically to network conditions, and providers optimize their hardware to maximize returns. Clients receive the best performance for their budget without manual scheduling.
The protocol's native integration with the OpenGPU Layer-1 enables exceptional throughput and transparency compared to typical decentralized compute networks.
