USDAI
  • Introduction
  • Why Compute-Backed?
  • Vision & Purpose
  • GPU.NET Ecosystem
    • What is GPU.NET?
    • Key Components of GPU.NET
    • GPU.NET’s Mission
    • USDAI’s Role in the Ecosystem
  • USDAI Mechanics
    • How USDAI Works
    • Pegging Mechanism
    • Collateralization
    • Issuance and Redemption
    • Stability Mechanisms
    • Why It Works
  • USDAI Architecture
    • Architecture
    • Supported Blockchains
    • Interoperability
    • Smart Contracts
    • Security Features
  • Use Cases
    • USDAI Applications
    • AI/ML Workload Payments
    • DeFi Integrations
    • Compute Reservations
    • Broader Implications
  • Acquiring USDAI
    • How to Acquire USDAI
    • Using USDAI
    • Developer Integration
  • Governance and Community
    • Governance
    • Roadmap
    • FAQ
    • Support & Community
Powered by GitBook
On this page
  1. USDAI Mechanics

Issuance and Redemption

USDAI’s lifecycle—how it’s created and retired—is designed to be user-friendly yet secure, integrating seamlessly with GPU.NET’s ecosystem.

Minting

  • Process: Users can mint USDAI by locking compute credits or depositing supported assets into GPU.NET’s smart contracts. Supported assets include:

    • Compute Credits: Providers contribute GPU capacity directly, receiving USDAI proportional to the market value of their contribution.

    • Cryptocurrencies: Assets like ETH, SOL, or other stablecoins (e.g., USDC) can be deposited, with the smart contract converting their value into USDAI based on the $1 compute peg.

  • Example: A provider locks 50 GPU-hours (valued at $50 USD) into Dapp.gpu.net. The system mints 50 USDAI, which the provider can use or trade. Alternatively, a user deposits 0.02 ETH (worth $50 at current rates), receiving 50 USDAI in return.

  • Fees: Minting incurs a small network fee (e.g., 0.5%) to cover operational costs and incentivize validators.

Burning

  • Process: USDAI can be burned (removed from circulation) to redeem compute credits or withdraw other assets:

    • Compute Redemption: Users burn USDAI to unlock GPU capacity on Dapp.gpu.net for immediate or scheduled use.

    • Asset Withdrawal: USDAI can be swapped back into supported cryptocurrencies, subject to liquidity and network availability.

  • Example: A developer burns 10 USDAI to access 10 GPU-hours for ML training. Alternatively, they burn 10 USDAI to withdraw $10 worth of SOL, minus a redemption fee.

  • Availability: Redemptions depend on compute liquidity and asset reserves, managed by Grid.gpu.net’s validators.

PreviousCollateralizationNextStability Mechanisms

Last updated 3 months ago