CloudAI white paper
  • 1.CloudAI Project Overview
    • 1.1 Background and Overview
    • 1.2 Technical Advantages of CloudAI
    • 1.3 Strategic Position of Singapore
  • 2. Market Background
    • 2.1 The Rise of AI and AI Agents and the Huge Market Demand for AI Resources
    • 2.2 The Lack of Credibility in the AI Market
    • 2.3 The Rise of Blockchain, Web3, and the Adoption of Cryptography
  • 3. Solutions Realized By Technological Innovation
    • 3.1 Web3-Based Cloud Service Market
      • 3.1.1 Decentralized Cloud Service Platform
      • 3.1.2 Supporting Diverse Computational Needs
    • 3.2 Intelligent Resource Matching Transactions Under AI Algorithms
      • 3.2.1 AI-Driven Intelligent Matching Engine
      • 3.2.2 Dynamic Adjustment and Forecasting Capabilities
    • 3.3 Economic Distribution Based on Computing Power Contribution
      • 3.3.1 Contribution Incentive Mechanism
      • 3.3.2 Tokenized Computing Power Units
    • 3.4 Tokenization Solution for Computing Power Units
      • 3.4.1 Issuance and Circulation of CLAI Tokens
      • 3.4.2 Token Destruction Mechanism
  • 4.CloudAI Project Introduction
    • CloudAI Project Introduction
    • 4.1 Project Architecture Display and Introduction
    • 4.2 Brief Introduction to Some Project Technologies
    • 4.3 Technology Selection and Implementation
      • 4.3.1 Blockchain Technology
      • 4.3.2 AI Technology
      • 4.3.3 Distributed Storage
    • 4.4 System Interaction and Data Flow
      • 4.4.1 Task Submission Process
      • 4.4.2 Resource Scheduling Process
      • 4.4.3 Reward Allocation Process
    • 4.5 Revenue Sources of the Project Platform
      • 4.5.1 Transaction Fees
      • 4.5.2 Node Participation Rewards
      • 4.5.3 Premium Service Fees
    • 4.6 Technical Advantages of the Platform
    • 4.7 System Scalability and Future Development
    • 4.8 Platform Vision and Objectives
  • 5. CloudAI Project Ecosystem Application Scenarios
    • CloudAI Project Ecosystem Application Scenarios
    • 5.1 Real-time Data Processing and Intelligent Analysis
    • 5.2 Artificial Intelligence Model Training and Deployment
    • 5.3 Precision Medicine and Personalized Treatment
    • 5.4 Autonomous Driving and Intelligent Transportation
    • 5.5 Augmented Reality (AR) and Industrial Simulation
    • 5.6 Supply Chain Management and Internet of Things (IoT)
  • 6. Tokenomics
    • 6.1.Node Assets Introduction
      • 6.1.1 Node Introduction
      • 6.1.2 Node Classification
    • 6.2. Token Assets Introduction
      • 6.2.1 Token Introduction
      • 6.2.2 CLAI Issuance Mechanism and Destruction Strategy
    • 6.3. Token Application and Deflationary Scenarios
      • 6.3.1 CLAI Application Scenarios
      • 6.3.2 CLAI’s Deflation Scenario
  • 7.Project Development Plan
    • 7.1. Initial Deployment Phase (January 2025 - December 2025)
    • 7.2. Development Phase (January 2026 - June 2027)
    • 7.3. Maturity Phase (July 2027 - December 2028)
  • 8.Team Introduction
    • Team Introduction
  • 9. Investment Risk Disclosure
    • Investment Risk Disclosure
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  1. 4.CloudAI Project Introduction

4.2 Brief Introduction to Some Project Technologies

Key Module Design

  • User Layer

    • User Interface: Provides user-friendly web applications, mobile applications, and API interfaces. Users can submit computing tasks, manage computing resources, and query task results. Through a flexible interface, users can contribute idle computing power resources or rent the required computing resources to participate in the decentralized cloud computing market.

    • User Authentication: Uses blockchain identity authentication mechanisms and multi-factor authentication to ensure the authenticity and security of user identities, ensuring trustworthy interactions between users and the platform.

  • Application Layer

    • Task Scheduler: Schedules computing tasks to the most suitable computing power nodes according to user needs and platform resource conditions, ensuring efficient task execution. AI algorithms will also optimize the order of task execution to improve resource utilization.

    • Resource Manager: Monitors and manages all computing and storage resources in the system in real-time. The resource manager dynamically adjusts resource allocation according to user needs and task requirements to ensure the efficient operation of the system.

    • Data Analysis Module: Provides input for AI algorithms by analyzing system data and user behavior data in real-time, and generates reports to help users optimize task execution and resource usage.

  • Smart Contract Layer

    • Resource Trading Contract: Manages resource leasing, purchasing, and allocation through smart contracts to ensure transparent, automated, and secure transactions, ensuring the fairness of the decentralized computing market.

    • Reward Allocation Contract: Smart contracts automatically allocate CLAI tokens according to user-contributed computing power resources, incentivizing users to participate in platform construction.

    • Governance Contract: Community members can participate in platform governance through voting to ensure that the platform decision-making process is decentralized, transparent, and fair.

  • AI Algorithm Layer

    • Intelligent Scheduling Algorithm: Based on AI algorithms, it automatically monitors system resources and user needs, dynamically allocates resources, and ensures efficient execution of computing tasks.

    • Predictive Analysis Model: AI algorithms analyze historical data and current trends to predict future resource needs, pre-schedule resources in advance, and maximize resource utilization efficiency.

    • Intelligent Matching Engine: Automatically matches resource supply and demand sides through AI algorithms to ensure the maximization of computing resource utilization and efficient task execution.

  • Resource Layer

    • Computing Power Nodes: Globally distributed computing power nodes are responsible for executing computing tasks submitted by users. These nodes coordinate work through the blockchain network to ensure secure data transmission and efficient task execution.

    • Storage Nodes: Uses distributed storage technology to ensure the high availability, redundant backup of user data and computing results, and supports decentralized data storage and access.

    • Cloud Resource Pool: CloudAI centrally manages all cloud computing resources, realizes flexible resource scheduling and on-demand allocation through the resource pool, reduces resource waste, and improves the overall efficiency of the platform.

  • Data Storage Layer

    • Distributed Storage System: Uses distributed storage technology (such as IPFS) to ensure data availability. Data is fragmented and redundantly backed up during storage to prevent data loss.

    • Encrypted Storage: All stored data will be encrypted to ensure the privacy and security of user data, and only authorized users can decrypt and access the data.

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