AIX white paper
  • 📌Preface
  • 🌎Market background
    • Limitations and challenges of traditional finance
    • The rise of Web3 ecology and intelligent transformation
    • AI + Blockchain + Crypto Asset Integration Opportunities
  • đŸ”ĨOverview
    • About AIX
    • AIX's original intention
    • AIX Mission and Vision
    • AIX Core Values
    • Roles and Functions of AI Agents
    • AIX Main Functions and Services
  • 🔰Technical Architecture
    • AI Agents Intelligent Collaboration Network
      • Core Features of AI Agents
      • AI Agents Workflow
    • AI Computing and Decentralized Storage
      • AI Computing Network
      • Decentralized Storage
      • Collaboration between AI computing and storage architecture
    • AI-enabled cross-chain interoperability and data interaction
    • AI Risk Control and Security System
  • đŸĒŠApplication Ecosystem
    • AI-enabled intelligent asset management
    • AI empowers DePIN (decentralized physical infrastructure network)
    • AI Empowers the GameFi Ecosystem
    • AI Empowers the NFT Ecosystem
    • AI Empowers Web3 Social Networks
    • AI empowers DAO governance
  • đŸĒ™Token Economy
    • Total Supply and Distribution
    • Token Allocation
    • AIXT Application Scenarios
    • Objectives of the Economic Model
  • 👨‍đŸ’ŧTeam Introduction
  • đŸŽĸDevelopment Roadmap
    • 2022-2024
    • 2025
    • 2026
    • 2027
  • đŸ”ļDisclaimer
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  1. Technical Architecture
  2. AI Computing and Decentralized Storage

Collaboration between AI computing and storage architecture

AIX combines AI computing with decentralized storage to achieve integrated optimization of data computing, storage, and interaction in the Web3 ecosystem , thereby improving the overall operating efficiency of the system.

Data collection and preprocessing

AI collects market trends, user behaviors, and smart contract interaction data of the Web3 ecosystem through Oracle + on-chain data analysis .

AI uses distributed data storage (IPFS, Arweave) to ensure the stability and decentralization of data storage.

Smart Data Storage

AI dynamically optimizes data storage paths and improves data access speed through hot and cold data separation, distributed indexing, and intelligent storage scheduling .

Combined with smart contract data storage optimization , AI can dynamically adjust data storage strategies, improve storage utilization, and reduce storage costs.

AI computing task execution

AI computing tasks run on the Layer 2 computing network , reducing the burden on the main network and improving computing throughput.

Verifiable Computing mechanism is used to ensure the authenticity of AI calculation results on the chain.

Data security verification

AI combines zero-knowledge proof (ZKP), MPC, and HE to ensure the privacy of computing tasks and the integrity of data.

AI uses smart contracts to verify data to ensure the authenticity and validity of stored data and prevent tampering.

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Last updated 3 months ago

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