aZen
  • About aZen
  • Introduction
  • Our Mission
  • How aZen Provides Value?
  • Home Page
  • ✨aZen Protocol
    • Introduction
    • How Does aZen Protocol Reshape Decentralized Computing?
    • Core Architecture & Key Functions
    • Application and use cases
    • Computing Architecture & Incentive Mechanism
  • ⚙️aZen Architecture
    • Overview
    • Product Overview
    • aZen DeFAI
    • SocialFi
  • 🏆aZen Hub
    • Introduction
    • Earning Center
    • Social AI Agent
    • $XaZen Pre-Mining & TGE
    • How To Get Started
    • Daily Check-in
    • Referral Rewards
    • ZenHive Rush
  • 💎aZen DePIN
    • Introduction
    • aZen DePIN Lite
  • 🖥️ZenHive
    • Introduction
    • Real-World Solution (RWS) Approach
    • ZenHive Hardware Products & Architecture
    • AI & Data Analytics Capabilities
    • ZenHive’s Target Industries
    • ZenHive’s Business Model
    • ZenHive - A Leader in DePIN AI Computing and Data Intelligence
    • ZenHive Testnet Mining
  • 💹POC Tokenomics
    • Introduction
    • $AZEN Utility
    • $AZEN Allocation
    • Proof of Contribution (PoC)
      • Token Emission
      • Proof of Contribution Categories
        • Computation PoC
        • Delegate PoC
        • Aggregate PoC
        • Data Center PoC
        • Service Delivery PoC
      • Node Operators
  • 📚Resources
    • Brand Story
    • Roadmap
    • Our Team
    • FAQ
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  1. aZen Protocol

How Does aZen Protocol Reshape Decentralized Computing?

aZen Protocol is a decentralized computing infrastructure where AI, applications, and computing resources seamlessly interact under the governance of smart contract-driven automation.

This allows for:

  • Transformation of Computation, AI, and Applications into dfNFT: Allow computer resources, AI models and agents, and applications to be modularized into dfNFTs, making them tradeable, leaseable, and deployable on-demand.

  • Smart Contract-Based Resource Scheduling: An intelligent, decentralized task orchestration system that optimally manages computing resources and workloads.

  • Decentralized AI Model Execution: enables AI training, inference, and application deployment in a trustless, tokenized computing ecosystem.

  • Composable AI & Computation Layers: allow dApps, AI Agents, and DePIN services to integrate computational resources on-demand, reducing costs and increasing scalability.

  • AI-driven Optimization and Monetization: AI-powered decentralized computation marketplace, where users and developers can monetize computing power, AI services, and applications.

  • Decentralized Data Collection and Processing: Enabling AI models to access a trustless, distributed, and privacy-preserving data pipeline for enhanced training and optimization.

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Last updated 2 months ago

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