Cortensor
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  • Abstract
    • Value Proposition
    • Whitepaper
      • Page 1: Introduction and Vision
      • Page 2: Architecture and Technical Overview
      • Page 3: Incentive Structure and Tokenomics
      • Page4: Development Roadmap and Phases
      • Page5: Summary
  • Introduction
    • What is Cortensor?
    • Key Features & Benefits
    • Vision & Mission
    • Team
  • Getting Started
    • Quick Start Guide
    • System Requirements
    • Installation & Setup
      • Getting Test ETH
      • Setup Own RPC Endpoint
      • Router Node Setup
        • Router API Reference
  • Core Concepts
    • Decentralized AI Inference
      • Community-Powered Network
      • Gamification and Quality Control
      • Incentive Structure
    • Universal AI Accessibility
    • Multi-layer Blockchain Architecture
  • Technical Architecture
    • Design Principles
    • Node Roles
    • Node Lifecycle
      • Ephemeral Node State
    • Node Reputation
    • Network & Flow
    • Type of Services
    • Coordination & Orchestration
      • Multi-Oracle Node Reliability & Leadership Rotation
    • AI Inference
      • Open Source Models
        • Centralized vs Decentralized Models
      • Quantization
      • Performance and Scalability
    • Consensus & Validation
      • Proof of Inference (PoI) & Proof of Useful Work (PoUW
      • aka Mining
      • Proof of Useful Work (PoUW)
      • Proof of Useful Work (PoUW) State Machine
        • Miner & Oracle Nodes in PoUW State Machine
      • Sampling in Large Distributed Systems
      • Parallel Processing
      • Embedding Vector Distance
    • Multi-Layered Blockchain Architecture
    • Modular Architecture and Smart Contract Interactions
      • Session Queue
      • Node Pool
      • Session Payment
    • Mining Overview
    • User Interaction & Node Communication
      • Session, Session Queue, Router, and Miner in Cortensor
    • Data Management
      • IPFS Integration
    • Security & Privacy
    • Dashboard
    • Development Previews
      • Multiple Miners Collaboration with Oracle Node
      • Web3 SDK Client & Session/Session Queue Interaction
    • Technical Threads
      • AI Agents and Cortensor's Decentralized AI Inference
    • Infographic Archive
  • Community & Ecosystem
    • Tokenomics
      • Network Incentive Allocation
      • Token Allocations & Safe Wallet Management
    • Staking Pool Overview
    • Contributing to Cortensor
    • Incentives & Reward System
    • Governance & Compliance
    • Safety Measures and Restricted Addresses
    • Buyback Program
    • Liquidity Additions
    • Partnerships
      • Partnership Offering for Demand-Side Partnerships
    • Community Testing
      • Closed Alpha Testing Phase #1
        • Closed Alpha Testing Phase #1 Contest: Closing & Winners Announcement
      • Closed Alpha Testing Phase #2
      • Closed Alpha Testing Phase #3
      • Discord Roles & Mainnet Privileges
      • DevNet Mapping
      • DevNet Modules & Parameters
    • Jobs
      • Technical Writer
      • Communication & Social Media Manager
      • Web3 Frontend Developer
      • Distributed Systems Engineer
  • Integration Guide
    • Web2
      • REST API
      • WebSocket
      • Client SDK
    • Web3
      • Web3 SDK
  • Use Cases
  • Roadmap
    • Technical Roadmap: Launch to Next 365 Days Breakdown
    • Long-term Vision: Beyond Inference
  • Glossary
  • Legal
    • Terms of Use
    • Privacy Policy
    • Disclaimer
    • Agreement for Sale of Tokens
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On this page
  • Layer 1 (L1): Foundational Security and Consensus
  • Layer 2 (L2): AI Orchestration and Task Management
  • Layer 3 (L3): Privacy-Preserving and Customization
  • Why Multi-Layered Architecture?
  1. Technical Architecture

Multi-Layered Blockchain Architecture

Cortensor’s Multi-Layered Blockchain Architecture optimizes scalability, efficiency, and security for decentralized AI inference and task processing. By leveraging distinct blockchain layers for specific roles, Cortensor provides a robust infrastructure that balances cost, speed, and adaptability.

Layer 1 (L1): Foundational Security and Consensus

Layer 1 is the foundation of the Cortensor network, delivering robust security, decentralized consensus, and immutable record-keeping for critical transactions and data.

Example: Ethereum

Ethereum serves as the backbone of the system, providing trusted security, finality, and decentralized data storage for Cortensor’s core functionalities.

Key Functions:

  • Security Backbone: Protects the network against attacks and tampering.

  • Consensus Mechanism: Ensures integrity and reliability.

  • Immutable Records: Preserves essential data and interactions permanently.


Layer 2 (L2): AI Orchestration and Task Management

Layer 2 handles AI orchestration and task management, enabling efficient miner coordination and user task processing. It offloads resource-intensive operations from Layer 1 to ensure faster and more cost-effective execution.

Examples:

  • Base: Acts as the “Welcome Center” for new users, offering smooth onboarding and cost-efficient registration processes.

  • Arbitrum: Serves as the “Task & Orchestration Center,” focusing on AI task distribution, session management, and miner connections.

  • Solana: Operates flexibly as both an orchestration hub and a user onboarding platform, leveraging its large user base and high transaction speeds for efficiency.

Key Functions:

  • Task Distribution: Manages AI inference jobs efficiently.

  • Miner Coordination: Ensures seamless miner-task assignments.

  • User Interaction Hub: Facilitates low-cost, high-speed user interactions and onboarding.


Layer 3 (L3): Privacy-Preserving and Customization

Layer 3 is designed for privacy-preserving computations and supports the creation of customized chains, making it ideal for enterprise-specific requirements. Optimized for high-throughput and confidentiality, it powers large-scale, secure AI applications.

Example: Arbitrum Orbit/Optimism Superchain

Delivers enhanced scalability and supports secure decentralized storage, enabling confidential AI inference and enterprise-grade solutions.

Key Functions:

  • Privacy-Preserving Computations: Supports secure and confidential AI processes.

  • Customized Chains: Allows tailored solutions for enterprise and industry-specific needs.

  • Advanced Scalability: Manages high-throughput workloads for AI tasks.


Why Multi-Layered Architecture?

Cortensor’s layered approach enables optimized operations for different aspects of the AI inference ecosystem:

  • L1 ensures foundational security and consensus.

  • L2 handles AI task orchestration and user interactions.

  • L3 delivers advanced privacy and scalability solutions.

By utilizing platforms such as Ethereum, Base, Arbitrum, and Solana, Cortensor provides a powerful, decentralized infrastructure designed to support diverse applications while catering to developers, enterprises, and users globally.

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Last updated 5 months ago