NeuralNet
NeuralNet Technology Stack
NeuralNet DAO's architecture ensures fair, secure, and decentralized AI computing via distributed computing and
blockchain.
Decentralized computing
Adopt a distributed computing network and consolidate idle computing power around the world.
Multi-layer storage architecture ensures the security and
availability of AI training data.
Blockchain infrastructure
Adopting Layer-2 solutions and providing a low-cost, high-throughput AI computing
environment.
Intelligent contract handles the allocation of funds and automatic
governance for AI research.
Distributed Computing
Global computing network, improving AI training capability
Few tech giants control AI computing resources, driving high costs and limiting access for
small and medium research teams.
Decentralized computing power network
By leveraging globally distributed computing nodes, we can improve the scalability of AI
training.
Optimize computing resource allocation
The intelligent scheduling algorithm matches tasks, improves computing efficiency, and reduces
costs.
Privacy Computing Support
Using MPC, homomorphic encryption, and zero-knowledge proofs to protect data privacy.
Multi-layer storage architecture
Adopt IPFS and decentralized storage solutions to ensure the security and availability of AI
training data.
Make AI computing resources more open, and allow global developers to obtain computing
power fairly.
Blockchain infrastructure
The Core Pillars of AI Computation and Governance
Tech giants control AI computing resources, driving high costs and limiting access for small
and medium-sized research teams.
Layer-2 Expansion Scheme
Integrate technologies such as Rollup and ZK-SNARKs to improve AI computing throughput and
reduce gas fees.
Automated governance of smart contracts
Utilize DAO mechanism to allocate AI research funds and ensure fair decision-making.
Decentralized AI Computing Market
Developers publish computing demands on the blockchain, while providers bid, enhancing
resource utilization.
Cross-chain interoperability
Support cross-chain protocols like Cosmos IBC and Polkadot XCMP for seamless AI computing in a
multi-chain environment.
Boosting AI transparency and fairness, ensuring decentralized ecosystem sustainability.
Future development
In the future, NeuralNet DAO will continue to optimize distributed computing and blockchain
infrastructure,
promote fairness and openness in AI computing, and empower global developers and research teams.
