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
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  1. About GNUS.AI
  2. How Does It Work?

Idle Central Processing (GPU)

-Where devices rests, but A.I. awakens.

PreviousHow Does It Work?NextDistributed Computation

Last updated 1 year ago


Any application can have periods of idle GPU, regardless of the device running it. If your device can download and process the information fast enough to run the application, it will inevitably have idle CPU and GPU periods. This is where GNUS.AI steps in.

Let's revisit the game application example: A user is playing a resource-intensive game on their device, utilizing the GPU for graphics rendering and the CPU for game logic. While the user is exploring less demanding areas of the game or during loading screens, the GPU may experience idle capacity, triggering:

  1. Task Activation: GNUS.AI detects these idle moments and activates its tasks, such as processing AI-related computations, blockchain transactions, or other decentralized network activities.

  2. Background Operation: Tasks run in the background, utilizing the available GPU capacity without affecting the gaming experience. The user continues to play the game seamlessly.

  3. Efficient Resource Allocation: GNUS.AI intelligently scales its operations based on available resources, ensuring that it never interferes with the game's real-time requirements .

  4. No Overrun or Interruption: The user enjoys uninterrupted gameplay, and when the game demands full GPU power again, Gnus.ai gracefully reduces its activity, allowing the game to take priority.

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(Dynamically Adjusted Resource Allocation)