Key Use Cases

NeuralNet DAO supports multiple use cases that leverage blockchain and decentralized AI technologies, providing benefits to developers, businesses, and researchers. Some of the primary use cases include:

1️⃣ Decentralized AI Computing

• Users can contribute their computational power (GPU/TPU resources) to train AI models in a distributed and privacy-preserving manner.

• AI researchers and developers can rent decentralized computation resources without relying on centralized cloud services.

• Contributors earn NND tokens based on their computing power contributions and uptime reliability.

2️⃣ AI Data & Model Marketplace

• A peer-to-peer decentralized marketplace where users can buy, sell, and share AI models, datasets, and computational resources securely.

• AI developers can monetize their pre-trained models and datasets, ensuring fair compensation for contributions.

• Encrypted data-sharing mechanisms ensure privacy protection while maintaining data integrity.

3️⃣ Decentralized AI Governance

• Community-driven decision-making ensures that AI research, training, and funding align with collective interests.

• NND token holders can propose and vote on project funding, AI model improvements, and research initiatives.

• Smart contracts automate governance processes, ensuring transparent execution of community-approved proposals.

4️⃣ AI-as-a-Service (AIaaS) & Decentralized APIs

• Developers can deploy AI models on-chain and offer AI-powered services via smart contracts and APIs.

• Businesses and applications can access AI models in a decentralized way, reducing reliance on centralized AI providers.

• AI inference is performed using distributed computing, ensuring cost efficiency and security.