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. 6. Tokenomics
  2. 6.3. Token Application and Deflationary Scenarios

6.3.2 CLAI’s Deflation Scenario

  1. Transaction Fee Destruction:

    • Partial Destruction Mechanism: Whenever users pay transaction fees with CLAI on the CloudAI platform, a portion of CLAI will be automatically destroyed by the platform. This mechanism increases the scarcity of the token by reducing the circulating supply of CLAI in the market, thereby enhancing its market value.

    • Dynamic Destruction Ratio: Based on market activity and demand, CloudAI can adjust the destruction ratio of CLAI to maintain a balance between inflation and deflation of the token, ensuring its long-term value.

  2. Resource Consumption Destruction:

    • Destruction During Resource Usage: When users consume computing or storage resources, the CloudAI platform will destroy a portion of the CLAI used for payment, further reducing the total supply of the token. This not only maintains the scarcity of the token but also ensures the sustainability of resource usage.

    • Dynamic Adjustment of Resource Consumption: Depending on the supply and demand of resources, the platform can dynamically adjust the destruction ratio of CLAI to appropriately reduce token supply during periods of high resource demand.

  3. Node Exit Mechanism：

    • Node Unlocking and Destruction: When a node chooses to exit the platform, a portion of the held CLAI will be destroyed, and the remaining CLAI will be returned to the node based on its contributions. This mechanism ensures a stable impact on the token market when nodes exit and maintains the long-term value of the token.

  4. Platform Activity Destruction:

    • Promotions and Buyback Destruction: CloudAI can conduct regular promotional activities or buyback programs to repurchase CLAI from the market and destroy it, controlling the circulating supply. These activities help incentivize users to hold and use CLAI while increasing the token's scarcity.

    • Ecosystem Construction Destruction: During ecosystem construction, such as the launch of new DApps or significant technological upgrades, the CloudAI platform can destroy a portion of CLAI to mark important milestones, increasing community participation and the value of the token.

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