NeuralNet DAO
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Key Use Cases

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Last updated 1 month ago

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.