Multi-layer Blockchain Architecture
Cortensor employs a sophisticated multi-layer blockchain architecture to ensure security, scalability, and flexibility in its decentralized AI inference network. This approach allows for efficient data management, secure orchestration of AI tasks, and adaptable privacy features.
Layer Structure
Layer 1 (L1): Base Layer
Purpose: Ensures the fundamental integrity and security of the network.
Features: Consensus mechanism, basic transaction processing, network-wide state management.
Layer 2 (L2): AI Orchestration Layer
Purpose: Manages AI inference requests, results, and associated data.
Features: Smart contracts for AI task allocation, incentive distribution mechanisms, data storage for inference results, marketplace for AI models.
Layer 3 (L3): Privacy and Customization Layer
Purpose: Offers privacy-preserving computations and specialized services.
Features: Encrypted prompts and completions, permissioned access for sensitive data, customizable chains for specific use cases or enterprises.
Chains for AI Orchestration
L2 Chain: Acts as the main orchestration layer, managing task distribution, node reputation, and basic data storage.
L3 Chains: Provide additional privacy and customization options, allowing for encrypted operations and specialized AI services.
Managing AI Inference and Orchestration Data
Secure data management across layers, with options for public (L2) and private (L3) storage.
Efficient handling of inference requests, results, and associated metadata.
Support for vector storage and other AI-specific data structures.
Incentivization and Validation Processes
Token-based rewards for node operators, validators, and contributors.
Multi-level validation system:
Router nodes for task assignment and initial validation.
Guard/validation nodes for result verification and scoring.
Reputation system based on node performance and result accuracy.
AI Marketplace
Facilitated by the L2 chain, allowing for the exchange of AI models and services.
Smart contracts govern marketplace transactions and ensure fair compensation.
Integration with the incentive structure to reward high-quality contributions.
Key Benefits of Multi-Layer Architecture
Scalability: Distributes computational load across layers, allowing for greater transaction throughput.
Flexibility: Enables the addition of new features and services without disrupting the base layer.
Privacy Options: Provides varying levels of privacy, from public transactions to fully encrypted operations.
Customization: Allows for the creation of specialized L3 chains tailored to specific industry needs or privacy requirements.
How It Works
Base Transactions: Fundamental network operations occur on L1.
AI Task Orchestration: L2 manages the assignment of AI inference tasks to appropriate nodes.
Data Management: L2 stores and manages inference data, with options for more secure storage on L3.
Privacy-Enhanced Operations: Sensitive computations or data can be processed on L3 chains with restricted access.
Future Developments
Cortensor plans to expand its multi-layer architecture to support:
Advanced cross-layer optimizations for improved performance
Integration with other blockchain networks for enhanced interoperability
Development of industry-specific L3 solutions
Disclaimer: This page and the associated documents are currently a work in progress. The information provided may not be up to date and is subject to change at any time.
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