Primary features
DGrid is a decentralized AI-inference network designed to integrate large language model reasoning into the web3 ecosystem, enabling open, community-driven AI services.
- Decentralised Node Network — community-run nodes execute AI inference tasks.
- AI-RPC Interface — standardised API layer for model access.
- Proof-of-Quality Mechanism — on-chain verifiable quality scoring.
- $DGAI Token Economy — native token for payments, staking, and governance.
In summary, DGrid works to make AI a native, verifiable, and distributed building block of Web3.
Services
Distributed Nodes
global node operators
AI-RPC Protocol
unified model access
Proof-of-Quality
verifiable output integrity
On-chain Settlement
payments and logs on-chain
User benefits
DGrid empowers developers, model providers, and enterprises to leverage high-quality AI inference services with trust, scalability, and transparency built in.
- Enables dApps and smart contracts to call AI models directly via a standard RPC.
- Allows anyone to run a node, stake $DGAI, earn rewards and contribute compute.
- Provides verifiable audit trails for AI results, improving reliability and trust.
- Removes reliance on centralized AI providers and reduces inference cost.
Overall, DGrid exists to open up AI infrastructure access, making model usage and deployment decentralized, transparent and scalable for the web3 era.
