NeuralNet Whitepaper
Deep dive into NeuralNet's technical architecture, token economic model, and ecosystem design.
NeuralNet Whitepaper
V1.0 / 2024
Abstract
NeuralNet is a blockchain-based distributed AI computing marketplace designed to address the current challenges of AI infrastructure centralization, high costs, and resource waste. Through innovative protocol design and economic models, NeuralNet connects idle computing resources worldwide with AI developers, creating an efficient, secure, and scalable computing power trading ecosystem.
This whitepaper details NeuralNet's technical architecture, token economic model, security mechanisms, and ecosystem design, providing readers with a comprehensive understanding of the project.
Table of Contents
- Introduction
- Market Background & Problem Statement
- NeuralNet Solution Overview
- Technical Architecture
- Blockchain Layer
- Resource Discovery Layer
- Computation Coordination Layer
- Secure Computing Environment
- Token Economic Model
- NNET Token Functions
- Token Distribution
- Incentive Mechanisms
- Governance & Future Development
- Team & Advisors
- Conclusion
Technical Highlights
- Adaptive Task Partitioning Algorithm: Intelligently analyzes AI workloads and breaks them down into optimal subtasks for efficient parallel processing.
- Zero-Knowledge Computation Verification: Uses zero-knowledge proof technology to verify computation results without re-executing the complete computation.
- Dynamic Resource Pricing Mechanism: Multi-factor dynamic pricing model for efficient market clearing and optimal resource allocation.
- Secure Computing Environment: Combines container technology, trusted execution environments, and homomorphic encryption to ensure computation security and data privacy.
Join the NeuralNet Ecosystem
Whether you're a computing power provider, AI developer, or investor, you can be part of the NeuralNet ecosystem and help drive the development of distributed AI infrastructure.