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

4.1 Project Architecture Display and Introduction

PreviousCloudAI Project IntroductionNext4.2 Brief Introduction to Some Project Technologies

Last updated 1 month ago

The CloudAI system architecture consists of the following main layers:

  • User Layer: Users interact with the system through web applications, mobile applications, or API interfaces to submit computing tasks, manage resources, query results, and perform other operations. Users can not only contribute idle computing power resources but also rent computing resources according to their needs, flexibly participating in the decentralized cloud computing market.

  • Application Layer: This layer provides a variety of functional modules, including user identity authentication, task scheduling, resource management, data analysis, etc. The operations of users on the platform will be ensured for the transparency and fairness of transactions through the smart contract layer, and personalized services and resource optimization will be provided based on the analysis results of AI algorithms.

  • Smart Contract Layer: All transactions, computing task scheduling, and resource allocation operations are conducted through smart contracts. Smart contracts not only ensure the fair distribution and efficient scheduling of resources within the platform but also can automatically execute tasks and ensure the transparency and security of the platform. Smart contracts are also responsible for the reward mechanism and the management of CLAI tokens.

  • AI Algorithm Layer: One of the cores of CloudAI is the AI-driven intelligent resource management system. AI algorithms analyze market demand in real-time and automatically match the most suitable resource providers with demanders. AI also has dynamic adjustment and prediction functions, which can predict computing power needs based on market trends and user behavior, optimize resource allocation, and improve computing efficiency.

  • Resource Layer: The resource layer includes cloud computing resources, computing power nodes, and storage resources, etc. Users can join the system by providing idle computing power or sharing resources, and the platform will automatically allocate resources through the smart contract mechanism to ensure the efficient use of computing resources. At the same time, the platform adopts a decentralized resource allocation method to reduce dependence on a single cloud service provider.

  • Data Storage Layer: This layer is responsible for storing all data in the system, including computing tasks, resource allocation, user transaction history, etc. CloudAI uses distributed storage technology to ensure the high availability, redundancy, and fast access of data. At the same time, based on FHE and ZKP and other privacy protection technologies, all stored data can be processed in an encrypted state to ensure data privacy and security.

  • Security Technology Layer: CloudAI introduces multi-layer encryption technology, including encryption algorithms such as AES (Advanced Encryption Standard) and RSA (Rivest-Shamir-Adleman), to ensure the security and privacy protection of user data. At the same time, through the decentralized identity authentication mechanism of blockchain, the authenticity and non-tamperability of user identity are ensured. The platform also uses FHE and ZKP and other technologies to solve the challenges of computing privacy and data protection, further enhancing the security of the platform.