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
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  1. Governance and Community

Roadmap

Roadmap

The USDAI roadmap outlines a phased approach to development, deployment, and expansion, with key milestones tied to technological rollouts, ecosystem growth, and market adoption. Below is a detailed timeline through 2025, with goals and implications for each phase.

Q1 2025: Testnet Deployment and USDAI Beta Launch

  • Goals:

    • Deploy GPU.NET’s testnet (Grid.gpu.net) with 300+ validators managing compute liquidity.

    • Launch a beta version of USDAI, allowing users to mint, redeem, and test compute payments.

    • Stress-test smart contracts, bridges, and stability mechanisms (e.g., oracles, PoC).

  • Key Activities:

    • Testnet Rollout: Validators onboarded globally, simulating real-world compute contributions.

    • USDAI Beta: Users mint test USDAI with fake ETH/SOL or mock compute credits, paying for GPU tasks on Dapp.gpu.net.

    • Feedback Loop: Collect user input via Discord/community channels to refine UX and fix bugs.

  • Example: A developer mints 100 test USDAI, reserves 100 GPU-hours, and reports a UI glitch, which the team patches pre-mainnet.

  • Implications: Establishes a functional prototype, builds community trust, and prepares for mainnet stability.

March 2025: Mainnet Launch, TGE, and USDAI Full Rollout

  • Goals:

    • Launch GPU.NET’s mainnet, transitioning from testnet to a live, decentralized network.

    • Conduct the token generation event (TGE), introducing GPU.NET’s native token and enabling USDAI trading.

    • Fully roll out USDAI across Ethereum, Solana, Polygon, and GANChain with production-ready features.

  • Key Activities:

    • Mainnet Activation: Validators switch to live operations, managing real compute resources.

    • TGE: Native token distributed (e.g., airdrops, sales), with USDAI listed on DEXs (Uniswap, Raydium, etc.).

    • USDAI Launch: Minting opens with real assets (ETH, SOL, compute credits), and users begin paying for compute or staking in DeFi.

  • Example: A provider locks 1,000 GPU-hours into Dapp.gpu.net, mints 1,000 USDAI, and trades 500 on Raydium for SOL, while a developer uses 100 USDAI for ML training.

  • Implications: Marks USDAI’s official entry into the market, kickstarts the decentralized compute economy, and initiates community governance transition.

Q3 2025: Expansion to Additional Blockchains and DeFi Integrations

  • Goals:

    • Expand USDAI’s multi-chain presence beyond initial networks (e.g., Avalanche, BNB Chain, Arbitrum).

    • Integrate with major DeFi protocols (e.g., Aave, Curve) for lending, borrowing, and liquidity provision.

    • Enhance ecosystem interoperability and adoption.

  • Key Activities:

    • Blockchain Expansion: Deploy USDAI contracts and bridges to new chains, voted on by the DAO (e.g., Avalanche for low fees).

    • DeFi Partnerships: Collaborate with protocols to list USDAI as collateral or a staking asset, boosting utility.

    • Ecosystem Growth: Launch developer grants (e.g., $500,000 in USDAI) to incentivize dApp integrations.

  • Example: USDAI integrates with Aave on Ethereum, allowing users to borrow ETH against 10,000 USDAI, while Avalanche support reduces fees for compute payments.

  • Implications: Broadens USDAI’s reach, deepens liquidity, and cements its role as a versatile stablecoin in AI and DeFi ecosystems.

Looking Ahead (Post-2025)

  • Q4 2025+: Optimize GANChain subnets for specialized AI tasks (e.g., generative AI, real-time inference), scale validator network to 1,000+, and explore institutional partnerships (e.g., universities, tech firms).

  • Vision: Position USDAI as the de facto currency for decentralized compute, supporting a global network of AI innovators and DeFi participants.

Why It Matters

The governance and roadmap reflect GPU.NET’s dual commitment to execution and empowerment. Pre-TGE centralization ensures a secure, polished launch, while post-TGE decentralization hands the reins to the community, fostering resilience and innovation. The roadmap’s phased milestones—from testnet to global expansion—provide a clear path to adoption, scalability, and impact. Together, they ensure USDAI evolves as a stable, community-driven asset, ready to power the future of AI and blockchain.

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Last updated 3 months ago