EdegX WhitePaper v1
  • Overview
  • Background & Trends
    • Computing Power Market
    • Challenges and opportunities
      • Challenges in Computing Power Centers
      • Edge Computing Trend
      • Web3-Driven Edge Network
  • EdgeX Project
    • Summary
    • Competitiveness
      • Community-Driven Ecosystem Construction
      • Decentralized AI Edge Computing Network
      • Real-World business Income
    • How to do
  • Core Technology
    • Computing Scheduling Framework
    • Ai Agent
      • Ai-Agent System Framework
      • Ai-Prouct Ai-Agent Framework
      • High Computing Edge Node Ai-Agent Framework
    • EdgeX OS
      • Core components
    • Ai-Products
  • Tokenomics
    • Overview of Token Economy and Incentive System
      • Tokenomics
      • Token Categories and Supply
        • Total Supply and Distribution of $EX:
        • Mining of $EX Token:
          • PoW(Edge Node)
          • POS(Edge Server)
        • EdgeX Points:
    • Incentive Mechanism
      • EdgeX Points Acquisition
      • Token Acquisition and Conversion
      • $EX Token Governance
  • Conclusion
    • Commercial Services
    • Protocols
  • Roadmap
    • Roadmap
      • Startup (Q2-Q4.24)
      • Verify (Q1-Q2.25)
      • EdgeX 1.0 (Q3.25 - Q2.26)
    • Cooperation
  • Team
    • Team
    • Adviser
    • Partner
  • Disclaimer
  • References
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  1. Conclusion

Commercial Services

EdgeX provides an integrated edge-side AI computing network, offering the necessary computing power, storage, and networking to support AI Agents.

1. AI-Agent Computing Power

EdgeX’s AI computing network offers the following services:

  • Integrated AI Computing for Training and Inference:

    Supports both AI model training and inference. By fine-tuning models on edge computing servers and leveraging trusted edge-side data sources, the network enhances the output capabilities and accuracy of smaller models.

  • Support for Heterogeneous Multi-Modal AI Agent Deployment:

    Enables the deployment of AI Agents that operate across multiple modalities and devices, offering flexibility in application scenarios.

2. Privacy-Based Distributed Storage

EdgeX’s distributed computing network uses data encryption and sharded storage to enhance the reliability of AI Agents. By utilizing on-chain DID-based access control, the system ensures more secure and dependable storage space and data sources for AI Agents.

3. Distributed Edge Network Acceleration Services

EdgeX’s extensive distributed computing network provides elastic computing resources for task matching, ensuring scalability and responsiveness for a wide range of applications.

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Last updated 4 months ago