馃摎
Devolved AI - Whitepaper
  • 1. Introduction and Overview
  • 1.1 Overview of Devolved AI
  • 1.2 Key Features of Devolved AI
  • 1.3 Vision
  • 1.4 Devolved AI鈥檚 Unique Selling Points (USPs)
  • 1.5 Who Benefits from Devolved AI
  • 2. Our Blockchain and Technical Foundations
  • 2.1 Consensus Mechanism
  • 2.2 Decentralized and Transparent Training Data
  • 2.3 Advantages of Argochain
  • 3. Proof of Value Protocol
  • 3.1 Key Functions of the PoV Protocol
  • 3.2 Benefits of the PoV protocol
  • 4. Federated Learning System
  • 5. Athena
  • 6. CommUnities
  • 7. Training Data Storage
  • 8. Argochain Network Manager
  • 9. The Devolved AI Platform
  • 10. Tokenomics for Layer-1 Argochain
  • 10.1 Emissions Schedule
  • 10.2 Emission Reduction Details
  • 10.3 Additional Economic Mechanisms
  • 10.4 Fees and Rewards
  • Conclusion
Powered by GitBook
On this page

8. Argochain Network Manager

Our Network Manager plays a critical role in orchestrating the various components and processes within the Devolved AI ecosystem to ensure efficient operation, optimal resource utilization, and adherence to the network's protocols and policies.

Key responsibilities of the Network Manager:

路 Distributes computational tasks related to model training and inference across the network, ensuring that tasks are assigned to nodes with the necessary resources and capabilities.

路 Manages the allocation of bandwidth and storage, balancing the load across the network to prevent bottlenecks and ensure smooth data flow.

路 Monitors the network's performance and health, identifying and addressing node failures, congestion, or security threats.

路 Ensures the reliability and availability of the network's services, including data storage, model training, and inference capabilities.

路 Maintains synchronization across the network, ensuring all nodes have an up-to-date and consistent view of the blockchain and AI assets.

The Network Manager is crucial for maintaining the Devolved AI ecosystem's efficiency, security, and adaptability, ensuring consistent availability, performance, and, ultimately, value to its participants and users.

Previous7. Training Data StorageNext9. The Devolved AI Platform

Last updated 9 months ago