GNUS.AI
  • 🧠About GNUS.AI
    • GNUS.AI
    • Introduction
    • Features and Benefits
      • Scale and cost-efficiency
      • GNUS.ai Network vs. Centralized xAI 100k Cluster
        • 1. Executive Summary
        • 2. Introduction
        • 3. Understanding the GNUS.ai Decentralized Network
        • 4. The Centralized xAI 100k Cluster Explained
        • 5. Comparing CAPEX and OPEX
        • 6. Payout Structure and Profitability
        • 7. The Deflationary Token Mechanism
        • 8. Projected Token Price Appreciation
        • 9. Summary Comparison Tables
        • 10. Conclusion and Next Steps
        • Final Thoughts
      • Tokenomics
    • Public Roadmap
    • Whitepaper
    • Meet the Team
    • Why GNUS.AI
      • Works Everywhere
      • Customizable
      • Fast
      • Secure
        • Secure 2FA with TOTP and zk-SNARKs
    • How Does It Work?
      • Idle Central Processing (GPU)
      • Distributed Computation
      • Dynamically Adjusted Resource Allocation
  • 🖥️Technical Information
    • Super Genius Blockchain Technical Details
      • SuperGenius DB Layout
      • AI Data Blocks
      • Slicing Data for Macro MicroJobs
      • Verification and Hash Results from Processing
      • Diagram of the internal blockchain, blocks and processing functionality
      • IPFS Pub Sub
      • SG Consensus Algorithm Implementation
      • Account creation with ECSDA and El Gamal
      • Key Derivation Function
      • El Gamal encryption
      • Prover specification
      • C++ Coding Standards
      • SuperGenius processing component information
        • Processing worker app workflow
        • Job Processing Flow
      • Super Genius DAG Blockchain
      • Minimal MMR Proof System with UTXOs
      • Cross-chain Bridging through SuperGenius
        • Overview of Technical Details for Cross-Chain Bridging Flow
        • Message Creation and Leader Election
        • Leader Ownership and Verification Channel Creation
        • Node Verification and Voting
        • Signature Collection and Aggregation
        • Destination Chain Submission and Validation
    • Hybrid Smart Contract
      • GNUS.ai Ecosystem: A Unified Network of Intelligence
      • Structure
        • Structure Details
      • Encoded IDs
    • Our Smart Contract Testing Philosophy
    • AI Systems
      • Overview
      • Query Workflow
      • Data Storage
      • Pub/Sub Communication
      • Retraining Mechanism
    • Zero Knowledge Proofs
      • Proof schemes and Elliptical Curves
  • Resources
    • Contact Us
    • Contracts
    • FAQS
    • Multisig Wallets
    • Glossary
    • Official Links
Powered by GitBook
On this page
  1. About GNUS.AI

How Does It Work?

GNUS.AI combines Artificial Intelligence (AI) and the blockchain to create a powerful and flexible system.

When a user interacts with an application or system integrated with GNUS.ai, their data is processed on a decentralized network of nodes.

These nodes, distributed across the network, collectively contribute to data processing, ensuring efficiency and security.


For example, let's assume you download and play a game using GNUS.ai:

During your game, the device you are using experiences periods of downtime or Idle Central Processing Unit (CPU) capacity, especially when the game's demands vary.

This means that your device has the potential to process a lot more information than the game itself demands at certain intervals. Typically, this processing power goes unused; however, GNUS.ai can tap into these idle CPU cycles for various computational tasks. This includes tasks related to AI processing, data analysis, and other functions within the GNUS.ai ecosystem.

This is called Distributed Computation and forms the foundation of the rewards system: the more computing power your device provides and for longer intervals, the larger portion of GNUS tokens will be rewarded. This incentivizes users to actively participate in the decentralized network, fostering a collaborative ecosystem

As the network scales and demand for CPU resources increases or decreases, Dynamically Adjusted Resource Allocation adapts based on these network demands. This ensures scalability and responsiveness, allowing the network to adapt to varying computational requirements.

As you can see, this approach optimizes the use of your device's resources while allowing you to enjoy your gaming experience.

PreviousSecure 2FA with TOTP and zk-SNARKsNextIdle Central Processing (GPU)

Last updated 1 year ago

🧠