Introduction
aZen Protocol transforms computer resources, applications, and AI models into Dynamic Fractional NFTs (dfNFTs).
By leveraging smart contracts for scheduling and orchestration. aZen Protocol enables decentralized, scalable, and AI-driven computing environments.
This paradigm shift allows not only computational power but also applications and AI tasks to be tokenized, optimized, and executed across a decentralized ecosystem.
By integrating resource tokenization, application modularization, and AI-driven computing, aZen Protocol creates an autonomous system where smart contracts dynamically manage and allocate computational workloads.
This ensures efficient, secure, and cost-effective execution of AI models, decentralized applications (dApps), and large-scale computational processes.
Additionally, aZen Protocol incorporates decentralized data collection and processing, providing AI models with a reliable, distributed, and trustless data infrastructure.
This enables more efficient AI training, privacy-preserving computation, and data-driven automation.
aZen Protocol is designed to meet this need by establishing a decentralized AI-native coordination framework, ensuring that AI computing, data, and interactions are optimized, self-governing, and economically sustainable.
At its core, aZen Protocol provides the rules, mechanisms, and incentives that enable AI agents, computing nodes, and decentralized applications (dApps) to operate in a trustless, interoperable environment.
AI-driven applications require real-time, distributed, and intelligent orchestration of resources. aZen Protocol ensures this through:
✅ Autonomous AI Task Management – AI agents execute and coordinate workloads across a decentralized computing network, optimizing performance and efficiency.
✅ Multi-Agent AI Collaboration – AI agents interact, negotiate, and execute tasks through smart contracts, enabling a self-organizing and interoperable ecosystem.
✅ Dynamic AI Governance – AI models continuously adapt to network conditions, ensuring scalability, efficiency, and economic viability.
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