Technical Architecture
DePU’s architecture is designed to provide a robust, scalable, and decentralized platform for GPU rentals and blockchain analytics. This section provides a detailed breakdown of its key architectural components and the technologies that make DePU efficient and user-friendly.
1. System Overview
DePU’s architecture consists of three primary layers:
User Interaction Layer: The front-end experience facilitated through the Telegram bot. This layer provides an intuitive interface for managing GPU rentals, initiating blockchain analytics, and accessing data insights.
Computational Layer: A distributed network of GPU nodes responsible for delivering high-performance computing power. This layer handles resource allocation, workload balancing, and task execution.
Blockchain Integration Layer: This layer synchronizes with the mainnet, manages shadow forks, logs events, and facilitates gasless blockchain analytics. It ensures data accuracy and security while reducing operational costs.
2. User Interaction Layer
The user interaction layer is built around Telegram’s API to provide a seamless and accessible interface.
Telegram Bot Integration:
Acts as the primary medium for users to interact with DePU.
Supports command-based inputs like /rent_gpu, /analytics, and /shadow_fork.
Provides real-time feedback on GPU performance, blockchain data, and analytics reports.
User Profile Management:
Tracks individual user activity, including GPU rental history, analytics configurations, and performance metrics.
Allows users to customize their workflows and save configurations for repeated tasks.
Security Features:
End-to-end encryption ensures secure communication between users and the platform.
Multi-factor authentication enhances account protection.
3. Computational Layer
The computational layer ensures efficient GPU resource utilization and high-performance computing capabilities.
GPU Node Network:
A decentralized network of GPU nodes distributed across multiple locations to ensure availability and reliability.
Each node is equipped with monitoring tools to track performance, energy usage, and availability.
Dynamic Resource Allocation:
A resource allocation algorithm matches user demands to available GPU nodes, optimizing for performance and minimizing latency.
Tasks such as AI model training, blockchain data processing, or rendering are automatically prioritized based on user-defined configurations.
Load Balancing:
Intelligent load balancing ensures even distribution of tasks across nodes, preventing bottlenecks and overloading.
Fault Tolerance:
Redundant nodes and automatic failover mechanisms ensure uninterrupted service even in the event of hardware or network failures.
4. Blockchain Integration Layer
This layer handles all blockchain-related operations, from real-time synchronization to gasless event logging.
Real-Time Shadow Forks:
Creates real-time replicas of the blockchain for isolated testing and monitoring.
Ensures high-fidelity synchronization with the mainnet while allowing users to test changes without impacting live operations.
Gasless Event Logging:
Off-chain processing of blockchain events eliminates gas costs while maintaining transparency and accuracy.
Supports user-defined logs for specific events such as transactions, token flows, or smart contract interactions.
Custom APIs:
Offers RPC-compatible APIs for accessing enriched blockchain data and integrating it into external workflows.
Cross-Chain Compatibility:
Supports interoperability with multiple blockchains, allowing users to analyze data across different networks.
5. Data Management
DePU’s data management system handles the collection, storage, and processing of GPU and blockchain data.
Data Collection
Real-time data streams from GPU nodes and blockchain events are aggregated and organized into actionable insights.
Data Storage:
Distributed storage solutions ensure data security, redundancy, and high availability.
Historical data is archived for easy retrieval and analysis.
Data Enrichment:
The platform enhances raw data with calculated metrics such as GPU performance summaries, transaction values, and blockchain trends.
Export Options:
Users can export data in multiple formats, enabling integration with third-party tools like analytics platforms or machine learning frameworks.
6. Security and Privacy
DePU employs advanced security measures to protect user data and maintain the integrity of the platform.
End-to-End Encryption:
All user interactions and data transmissions are encrypted to prevent unauthorized access.
Redundant Systems:
Ensures service continuity through redundant infrastructure and fault-tolerant designs.
Data Privacy:
User data is anonymized and processed in compliance with global data protection standards.
Smart Contract Security:
All smart contracts undergo rigorous auditing to mitigate vulnerabilities and ensure reliability.
7. Scalability
DePU is built to accommodate growth in user demand and technological advancements.
Scalable GPU Infrastructure:
GPU nodes can be added to the network as demand increases, ensuring consistent performance for all users.
Modular Design:
The platform’s architecture is modular, allowing for the easy integration of new features and technologies.
Global Node Distribution:
Nodes are strategically distributed to reduce latency and provide localized computing power.
Last updated