aZen
  • Introduction
  • Our Mission
  • How aZen Provides Value?
  • Home Page
  • 🌐aZen Protocol
    • Introduction
    • Purpose
    • Key features
    • Application and use cases
    • AI computational infrastructure
  • 🌈Architecture Overview
    • aZen Architecture Overview
    • Product Overview
    • DeFAI
    • SocialFi
  • 📲aZen Hub
    • Introduction
    • Earning Center
    • $XaZen Pre-Mining & TGE
    • Daily Check-in
    • Referral Rewards
    • ZenHive Rush
  • ⛓️aZen DePIN
    • Introduction
    • aZen DePIN Lite
  • ⛏️ZenHive
    • Introduction
    • Real-World Solution (RWS) Approach
    • ZenHive Hardware Products & Architecture
      • Device Variants
      • Hardware Architecture
  • AI & Data Analytics Capabilities
    • Data Collection & Analysis
    • AI-Driven Insights & Optimization
  • Target Industries
  • Business Model
  • DePIN AI Computing and Data Intelligence
  • ZenHive Testnet Mining
    • Introduction
    • Testnet Objectives
    • Mining Rules
  • 💹POC Tokenomics
    • $aZen Utility
    • $aZen allocation
    • Proof of Contribution (PoC)
      • Token Emission
      • Proof of Contribution Categories
      • Computation PoC
      • Delegate PoC
      • Aggregate PoC
      • Data Center PoC
      • Page
      • Service Delivery PoC
  • Node Operators
  • 💡Resources
    • Roadmap
    • Our Team
    • aZen Brand Story
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  1. aZen Protocol

Purpose

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 21 days ago

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