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. Features and Benefits

Scale and cost-efficiency

Building the GNUS.ai marketplace as a Web3 protocol eliminates centralized overheads, allowing for unprecedented scalability and reduces barriers to entry for new supply participants. This enables GNUS.ai to connect potentially every computing device globally, creating a decentralized network that scales far beyond the limits of traditional providers. By forming a network from the available billions of worldwide consumer compute devices, GNUS.ai offers on-demand access to boundless compute supply at a transparent and minimal cost—often as low as $0.01 per hour or less.

GNUS.ai's pricing is driven by an automated supply and demand function, ensuring that costs remain at least 80% lower than other systems. This dynamic pricing structure allows GNUS.ai to stay highly competitive while offering users massive savings. Unlike traditional providers with centralized infrastructure and inflated costs, GNUS.ai operates with no CapEx and minimal OpEx, further driving down prices. Operational expenses are taken as a small percentage of the already low hourly cost, enabling the system to approach near-zero costs.

This approach completely redefines cost barriers associated with scaling machine learning workloads, as GNUS.ai guarantees users access to affordable compute without compromising on scalability. By efficiently utilizing global compute resources and capturing latent capacity, GNUS.ai offers a flexible, decentralized solution that meets the needs of both developers and end-users, all while maintaining cost advantages unmatched by other systems.

Provider
Approximate hourly cost for ML training work (V100-equivalent)
Scalability

GNUS.ai

$.005

High

Single personal GPU

$0.28

None

Gensyn (projected)

$0.40

High

Single GPU in datacenter

$0.40

None

GCP spot instances (unreliable)

$0.75

Medium

AWS spot instances (unreliable)

$0.90

Medium

Vast.ai

$1.10

Low

Golem Network

$1.20

Low

AWS on-demand

$2

Medium

GCP on-demand

$2.50

Medium

Truebit (+ Ethereum)

$12

Low

Ethereum

$15,700

Low

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Last updated 3 months ago

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