🏗️4. System Architecture

GamePad's system architecture is designed around the actual needs of decentralized finance (DeFi) during its operational phase. Its core objective is to provide a stable and scalable operating environment for automated strategy execution, AI inference, agent scheduling, and risk control after the protocol goes live. As DeFi systems evolve from static contract logic to dynamic financial systems that rely on continuous computation and intelligent decision-making, execution capabilities and computing resources are gradually becoming fundamental conditions throughout the protocol's lifecycle.

In terms of structural design, GamePad adopts a layered architecture, decoupling and abstracting computing resources, intelligent execution capabilities, and protocol operation interfaces:

• The underlying layer is responsible for connecting to and managing distributed computing resources, providing continuous computing power support for strategy computation, risk assessment, and AI inference;

• The middle layer builds a unified intelligent execution environment around the continuous operation of AI and agents, enabling automated strategies to participate in the operation of the financial system as long-term execution units;

• The upper layer opens up computing and intelligence capabilities to different types of DeFi protocols and strategy systems through standardized operating interfaces, enabling them to introduce continuous execution capabilities without changing the core contract logic.

This layered structure enables GamePad to adapt to DeFi protocols and strategy systems of different scales and architectures while ensuring underlying stability. Clear interfaces facilitate collaboration between computation supply, intelligent execution, and protocol operation, reducing system complexity and reserving space for future feature expansion, performance optimization, and the introduction of governance mechanisms. The overall architecture emphasizes runtime priority and long-term scalability, allowing the financial system to dynamically adjust its operational capabilities based on real-world load, market changes, and strategy complexity after deployment.

Based on the above architecture, GamePad has formed an infrastructure model for the decentralized finance operation stage, providing a unified structural foundation for the specific design of the subsequent computing layer, intelligent execution layer and operation interface layer, and laying the engineering premise for the long-term operation and continuous evolution of automated financial systems.