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. Roadmap & Updates

Roadmap

  1. Andromeda Stage (Idea & Conceptualization)

  • Vision Definition

    Establish OmniTensor's mission to decentralize AI development.

  • Initial Research

    Explore the current challenges in AI infrastructure and identify market needs.

  • Whitepaper Drafting

    Outline the technical and business strategies for OmniTensor.

  1. Orion Stage (Foundation Building)

  • Core Architecture Design

    Build the foundation of OmniTensor’s AI Grid as a Service (AI-GaaS).

  • Consensus Mechanism Design

    Implement the DualProof consensus (PoW for AI compute, PoS for validation).

  • Tokenomics Definition

    Structure the OMNIT token’s use cases, supply, and rewards system.

  1. Sagittarius Stage (Community Growth & Testnet Deployment)

  • EVM Chain Testnet Launch

    Launch the EVM-compatible testnet for developer and user testing, prepping for the mainnet.

  • Community Expansion

    Grow the community through social media and influencer engagement.

  • Token Launch on Ethereum

    Release OMNIT as an ERC-20 token to support community growth and governance.

  • Social Media Presence

    Build a strong presence on platforms like Twitter, Discord and Telegram with regular updates.

  1. Lyra Stage (Development & Testing)

  • EVM Chain Launch

    Deploy OmniTensor’s Layer 1 blockchain.

  • SDK Development

    Release the Software Development Kit (SDK) for dApp and AI model integration.

  • Beta Testing

    Conduct internal and community beta tests of the decentralized GPU network (DePIN).

  1. Draco Stage (Community Engagement & Beta Expansion)

  • DePIN Growth

    Expand the Decentralized Physical Infrastructure Network (GPU sharing).

  • Community Incentives

    Introduce early staking and mining rewards for community members.

  • Marketplace Launch

    Roll out the AI model marketplace and initial AI dApps.

  1. Phoenix Stage (Mainnet Launch & Ecosystem Growth)

  • Mainnet Release

    Officially launch OmniTensor’s mainnet with full AI compute and validation capabilities.

  • AI OmniChain Integration

    Integrate Layer 2 AI OmniChain for improved scalability.

  • Token Utility Expansion

    Implement full use of OMNIT tokens across staking, governance, and dApp interactions.

  1. Pegasus Stage (Scaling & Optimization)

  • Performance Optimizations

    Enhance GPU resource management and computational efficiency.

  • Cross-Chain Interoperability

    Integrate with other blockchain ecosystems for wider AI accessibility.

  • Enhanced AI Model Customization

    Offer advanced fine-tuning options for enterprise users.

  1. Hydra Stage (Future Features & Enhancements)

  • OmniChain 2.0

    Upgrade to improve transaction throughput and scalability.

  • Decentralized Governance

    Introduce governance models for community-driven decision-making.

  • AI Smart Contracts Library

    Launch a dedicated library for AI-related smart contracts.

  1. Cassiopeia Stage (Long-Term Vision)

  • AI Infrastructure Leadership

    Position OmniTensor as the leading AI infrastructure for Web3 applications.

  • Zero-Knowledge Security

    Implement zero-knowledge proofs (ZKP) for AI data security.

  • Edge AI Integration

    Develop AI capabilities at the edge for enhanced real-time processing.

  1. Cygnus Stage (Global Adoption & Evolution)

  • Mainstream AI Adoption

    Drive mainstream adoption of OmniTensor’s decentralized AI services across industries.

  • DAO AI Governance

    Support decentralized autonomous organizations (DAOs) with AI-driven governance systems.

  • Continuous Improvement Culture

    Foster a culture of continuous improvements based on community and industry feedback.

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Last updated 7 months ago