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

Vision & Mission

OmniTensor imagines a future where artificial intelligence is decentralized, inclusive and accessible to all. By incorporating distributed ledger technology, the goal is to shift AI from being controlled by a few large entities to a system powered by a wider community. The platform's aim is to lead the next stage of AI evolution by making it more open, affordable and transparent, creating a space where businesses, developers and community members can work together, share benefits and inspire innovation.

Central to this idea is the principle of decentralization, preventing any one group from controlling AI infrastructure or data. Instead, OmniTensor encourages a global network of contributors to share resources, verify data and build AI models collaboratively. Merging advanced AI tools with decentralized systems, OmniTensor opens up new avenues for AI-powered applications while tackling challenges like high computing costs, data protection and access restrictions.

OmniTensor’s mission is to change the way AI applications are created and distributed, removing the barriers that limit wider use of AI today. By offering a strong decentralized infrastructure, OmniTensor aims to:

  • Open up AI to a broader audience by providing access to powerful AI tools and models, regardless of technical skill or resources.

  • Encourage participation in AI development, from data management to model validation, creating a more inclusive environment.

  • Support scalable AI processing through its decentralized network, cutting dependency on costly central resources.

  • Enable smooth interaction between existing systems and decentralized applications, making it easier to integrate AI into various platforms.

Through this approach, OmniTensor seeks to make AI a shared asset, driving innovation that is fair, transparent and built on contributions from a global community. The long-term vision is to make AI technology a widely available tool, powering the next generation of decentralized applications and business solutions.

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Last updated 7 months ago