Just thought I’d throw out a rough idea I have (no code yet) and see if anyone has any thoughts on it. Thank you too Ergo community, blessed to have come about this endeavor.
For further inquiries or collaboration opportunities, feel free to contact me at fitzdoud@gmail.com.
Or on X @fitzdoud.
Fitz (@FitzDoud) / X
White Paper: Decentralized GPU Credit Marketplace (DGCM)
1. Abstract
The Decentralized GPU Credit Marketplace (DGCM) is a blockchain-based platform that facilitates GPU resource sharing between providers (GPU owners) and consumers (users requiring GPU resources for AI, rendering, or blockchain mining tasks). The platform integrates Rosen Bridge for cross-chain compatibility, a fiat-to-Ergo (ERG) and fiat-to-SigUSD on-ramp , and the LETS credit system , ensuring seamless access to resources and trustless transactions. By leveraging Ergo’s blockchain capabilities and cloud-native tooling, DGCM aims to create a scalable, decentralized ecosystem for GPU computation.
Example Workflow for DGCM
- Consumer (Alice) :
- Alice wants to train an AI model and purchases 10 GPUC using fiat or cryptocurrency through the platform.
- Provider (Bob) :
- Bob lists his GPU on the platform for 1 GPUC per hour , staking collateral to ensure reliability.
- Task Submission :
- Alice selects Bob’s GPU from the marketplace and submits her AI training script via the platform.
- Validation :
- The platform verifies that Alice has sufficient GPUC and deducts 1 GPUC from her balance.
- Alice is granted secure API credentials to access Bob’s GPU.
- Task Execution :
- Bob’s GPU executes Alice’s task in a Docker container , ensuring secure isolation and tracking resource usage.
- Completion :
- After 1 hour , the task is successfully completed:
- Alice’s balance is reduced by 1 GPUC .
- Bob’s balance is increased by 1 GPUC .
- Transparency :
- Both Alice and Bob can review detailed task logs and performance metrics on the platform for transparency and accountability.
2. Introduction
The demand for GPU resources has surged due to applications in AI, blockchain, and graphics rendering. Centralized marketplaces often struggle with trust issues, limited payment options, and high costs. DGCM addresses these problems by decentralizing GPU resource sharing using blockchain technology, smart contracts, and LETS credits (GPUC tokens).
Key Features :
- Multi-Chain Asset Support : Rosen Bridge enables users to leverage assets from Ethereum, Cardano, Bitcoin, and more.
- Fiat On-Ramp : Simplifies onboarding by supporting fiat-to-Ergo and fiat-to-SigUSD transactions.
- LETS Credit System : Provides trustless, collateral-backed transactions.
- Cloud-Native Scalability : Ensures the platform scales efficiently with Kubernetes and Docker.
3. Platform Overview
Core Objectives
- Expand Accessibility :
- Integrate Rosen Bridge for cross-chain compatibility.
- Enable fiat-to-crypto onboarding for SigUSD and ERG.
- Enhance Marketplace Liquidity :
- Support multi-chain assets for purchasing GPUC tokens.
- Allow collateral-backed LETS transactions to increase flexibility for users.
- Decentralize Resource Sharing :
- Facilitate trustless interactions between consumers and GPU providers.
Core Features
- Tokenized Payments : LETS credits (GPUC tokens) enable seamless payments without relying on fiat systems.
- Dynamic Matchmaking : Consumers browse GPU providers based on pricing, performance, and location.
- Task Isolation : Tasks are securely executed in containerized environments using Docker.
- Blockchain Transparency : All transactions are recorded on Ergo for immutable auditing.
4. Architecture and Integration
4.1 Multi-Chain Asset Integration with Rosen Bridge
Rosen Bridge connects Ergo with other blockchains, enabling cross-chain asset transfers.
- Cross-Chain Payments : Users can bridge assets like Ethereum’s USDT to Ergo and convert them to GPUC tokens.
- Collateral Options : Providers can stake bridged assets like BTC or ETH as collateral in LETS.
- Workflow Example :
- User bridges USDT from Ethereum to Ergo via Rosen Bridge.
- Bridged USDT is converted to SigUSD or GPUC tokens.
- GPUC tokens are used to rent GPU resources.
4.2 Fiat-to-Ergo/SigUSD On-Ramp
The on-ramp simplifies access to ERG and SigUSD via fiat.
- Integration with Rosen Bridge : Bridged fiat-onboarded SigUSD can be used across chains.
- Key Features :
- Debit card, bank transfer, and PayPal support.
- Real-time conversion rates for ERG and SigUSD.
- Workflow Example :
- User purchases SigUSD using fiat.
- SigUSD is converted to GPUC tokens for resource payments.
4.3 GPU Resource Transactions via LETS
LETS credits (GPUC tokens) enable decentralized and collateral-backed transactions.
- Workflow for Consumers :
- Acquire GPUC tokens via fiat, ERG, or bridged assets.
- Select GPU resources and submit tasks.
- Use temporary credentials for secure access.
- Workflow for Providers :
- Register GPUs and stake collateral.
- Execute tasks in secure, containerized environments.
- Receive GPUC tokens as payment.
4.4 Marketplace Interactions
- For Consumers :
- Browse GPUs, submit tasks, and track progress.
- Pay using GPUC tokens or bridged assets.
- For Providers :
- List GPUs, monitor utilization, and earn GPUC tokens.
- Convert earnings to preferred assets via Rosen Bridge.
5. Technical Implementation
5.1 Smart Contracts and Blockchain
- GPUC Token Management : ErgoScript ensures secure issuance and transfers.
- Collateral Enforcement : Smart contracts validate collateral sufficiency for LETS membership.
- Example ErgoScript :
scala
val validTransfer = {
val sender = SELF.R4[Long].get
val receiver = OUTPUTS(0).R4[Long].get
val collateral = CONTEXT.dataInputs(0).tokens(0)._2
sender - amount == OUTPUTS(1).R4[Long].get &&
receiver + amount == OUTPUTS(0).R4[Long].get &&
collateral >= minCollateral
}
validTransfer
5.2 Backend and Frontend Integration
- Backend : Node.js APIs for user authentication, task submission, and token management.
- Frontend : React-based dashboard for GPU browsing, task progress, and balance tracking.
5.3 GPU Task Execution
- Containerized Environments :
- Docker containers isolate tasks.
- NVIDIA runtime enables GPU access.
- Monitoring and Reporting :
- Prometheus and Grafana provide real-time metrics for consumers and providers.
5.4 Rosen Bridge Integration
- Deploy Watchers and Guards to validate asset transfers.
- Use multi-signature wallets for collateral management.
6. Benefits and Applications
6.1 Benefits for Consumers
- Accessibility : Easy onboarding via fiat and cross-chain assets.
- Transparency : Immutable records on Ergo blockchain.
- Flexibility : Wide range of GPU providers and pricing options.
6.2 Benefits for Providers
- Revenue Generation : Monetize idle GPU resources.
- Guaranteed Payments : Smart contracts ensure timely transactions.
- Dynamic Pricing : Adjust pricing based on demand.
6.3 Broader Applications
- Cross-Chain LETS Systems : Rosen Bridge enables global credit networks.
- Decentralized Resource Sharing : Extend to storage and bandwidth marketplaces.
- Stable Asset Integration : Attract users seeking stable currencies like SigUSD.
7. Roadmap
Phase 1 : MVP Development
- Deploy Ergo-based smart contracts for LETS and GPUC.
- Implement Rosen Bridge for cross-chain transactions.
- Launch fiat-to-crypto on-ramp with basic payment options.
Phase 2 : Scalability and Features
- Add dynamic GPU pricing and advanced matchmaking.
- Introduce advanced monitoring tools (e.g., Grafana dashboards).
- Expand asset support via Rosen Bridge.
Phase 3 : Ecosystem Growth
- Partner with GPU providers to expand offerings.
- Integrate with external wallets for seamless asset transfers.
- Develop APIs for third-party applications.
8. Conclusion
The Decentralized GPU Credit Marketplace (DGCM) integrates Rosen Bridge, fiat on-ramps, and LETS credits to create a scalable, decentralized platform for GPU resource sharing. By addressing accessibility, trust, and scalability, DGCM has the potential to revolutionize decentralized resource sharing across multiple industries.
Key Enhancements with Rosen Bridge Integration:
- Cross-Chain Asset Utilization: Alice can use assets from other blockchains (e.g., Ethereum) to participate in the DGCM ecosystem, broadening accessibility.
- Seamless Asset Conversion: Rosen Bridge facilitates the conversion of assets like USDT to SigUSD on Ergo, which can then be used to acquire GPUC tokens.
- Secure and Transparent Transactions: The integration ensures that all transactions are recorded on the Ergo blockchain, maintaining transparency and security.
This workflow demonstrates how the DGCM platform, enhanced by Rosen Bridge, enables seamless and secure interactions between consumers and GPU providers across multiple blockchain ecosystems.