NeuralByte (ERC)
  • Introduction
    • NeuralByte Overview
    • Technical Overview
    • Technical Architecture
    • Technical Implementation
    • Challenges in Traditional AI Model Training
  • Ecosystem
    • How NeuralByte Works?
    • Benefits of NeuralByte
    • Decentralized Resource Pool
    • Competitive Pricing Model
    • Elimination of GPU and TPU Dependency
    • Built-in Library for AI Development
  • Others
    • Tokenomics
    • Roadmap Development
    • Links
    • Disclaimer
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  1. Introduction

Technical Implementation

NeuralByte Token utilizes smart contracts deployed on the Ethereum blockchain to facilitate resource rental transactions. The process involves:

  • User Registration: Users create accounts and deposit NeuralByte tokens into their wallets.

  • Resource Selection: Users browse available GPU and TPU resources, selecting configurations that suit their requirements.

  • Rental Agreement: Smart contracts manage the rental agreements, specifying terms such as duration, price, and resource utilization.

  • Resource Provisioning: Upon agreement confirmation, the chosen resources are provisioned to the user, ready for AI model training.

  • Built-in Library: The server hosts a comprehensive library of AI frameworks, tools, and datasets, accessible to users for seamless model development and training.

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Last updated 1 year ago