OmniTensor
  • Welcome
  • Introduction
    • What is OmniTensor?
    • Vision & Mission
    • Key Features
    • Why OmniTensor?
      • Current Challenges in AI
      • How OmniTensor Addresses These Challenges
  • Core Concepts
    • AI Grid as a Service (AI-GaaS)
      • Overview of AI-GaaS
      • Benefits of AI-GaaS
      • Use Cases of AI-GaaS
    • Decentralized Physical Infrastructure Network (DePIN)
      • GPU Sharing Model
      • Incentive Mechanisms
    • AI OmniChain
      • Layer 1 and Layer 2 Integration
      • AI Model Marketplace and Interoperability
    • DualProof Consensus Mechanism
      • Proof-of-Work (PoW) for AI Compute
      • Proof-of-Stake (PoS) for Validation
    • OMNIT Token
      • Overview
      • Utility
      • Governance
  • Tokenomics
    • Token Allocations
    • Token Locks
    • ERC20 Token
    • Audit
  • OmniTensor Infrastructure
    • L1 EVM Chain
      • Overview & Benefits
      • Development Tools & API
    • AI OmniChain
      • Interoperability
      • Scalability
      • Decentralized Data & Model Management
    • Nodes & Network Management
      • AI Consensus Validator Nodes
      • AI Compute Nodes (GPUs)
  • Roadmap & Updates
    • Roadmap
    • Future Features
  • PRODUCTS
    • AI Model Marketplace
    • dApp Store
    • Data Layer
    • Customizable Solutions
    • AI Inference Network
  • For the Community
    • Contributing to OmniTensor
      • Sharing Your GPU
      • Data Collection & Validation
    • Earning OMNIT Tokens
      • Computation Rewards
      • Data Processing & Validation Rewards
    • Community Incentives & Gamification
      • Participation Rewards
      • Leaderboards & Competitions
  • For Developers
    • Building on OmniTensor
      • dApp Development Overview
      • Using Pre-trained AI Models
    • SDK & Tools
      • OmniTensor SDK Overview
      • API Documentation
    • AI Model Training & Deployment
      • Training Custom Models
      • Deploying Models on OmniTensor
    • Decentralized Inference Network
      • Running AI Inference
      • Managing and Scaling Inference Tasks
    • Advanced Topics
      • Cross-Chain Interoperability
      • Custom AI Model Fine-Tuning
  • For Businesses
    • AI Solutions for Businesses
      • Ready-Made AI dApps
      • Custom AI Solution Development
    • Integrating OmniTensor with Existing Systems
      • Web2 & Web3 Integration
      • API Usage & Examples
    • Privacy & Security
      • Data Encryption & Privacy Measures
      • Secure AI Model Hosting
  • Getting Started
    • Setting Up Your Account
    • Installing SDK & CLI Tools
  • Tutorials & Examples
    • Building AI dApps Step by Step
    • Integrating AI Models with OmniTensor
    • Case Studies
      • AI dApp Implementations
      • Real-World Applications
  • FAQ
    • Common Questions & Issues
    • Troubleshooting
  • Glossary
    • Definitions of Key Terms & Concepts
  • Community and Support
    • Official Links
    • Community Channels
  • Legal
    • Terms of Service
    • Privacy Policy
    • Licensing Information
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  1. Introduction

What is OmniTensor?

OmniTensor is a decentralized platform that reshapes how AI applications (dApps) are created, launched and used. At its foundation, OmniTensor provides an AI Grid as a Service (AI-GaaS) ecosystem, opening up AI development by using blockchain technology and decentralized networks. The platform combines AI with decentralized infrastructure, giving developers and businesses the tools to build and use AI solutions more efficiently, with reduced costs and enhanced security compared to conventional, centralized AI platforms.

OmniTensor's structure is based on a dual-layer system: a Layer 1 blockchain (EVM) and an AI-focused Layer 2 (the OmniChain). This layered design promotes scalability, compatibility and easy integration of Web3 and AI features. The decentralized setup allows a broad spectrum of participants—including individuals, developers and businesses—to contribute to and benefit from tasks such as AI model training, inference and data processing. In this community-driven ecosystem, participants are rewarded with OMNIT tokens, the platform’s native currency, for their contributions.

One notable innovation is its use of a Decentralized Physical Infrastructure Network (DePIN), which links community-owned GPUs to supply decentralized AI computing power. This reduces reliance on centralized AI infrastructure, making high-performance computing accessible to a wider range of users. The platform also supports the sharing of pre-trained AI models and allows for custom model training, giving users a flexible and scalable AI environment that meets the computational and operational challenges AI developers often encounter.

OmniTensor’s focus on transparency, inclusivity and decentralization places it in a new wave of AI development, making it easier for developers to build, businesses to adopt AI and individuals to take part in shaping the future of this technology.

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Last updated 7 months ago