# System Overview The Vantix AI platform adopts a modular, microservices-based architecture to ensure scalability, resilience, and maintainability. At its core, the system comprises: * **Frontend Dashboard Service:** A React/Next.js application responsible for UI rendering, user authentication, and Web3 wallet integration. * **Backend API Service:** Node.js/Express server that exposes REST and WebSocket endpoints for data aggregation, user management, and order execution. * **AI Signal Engine:** Python-based microservice utilizing machine learning models for real-time market prediction, running in Docker containers with GPU acceleration support. * **Smart Contract Suite:** Solidity contracts deployed on EVM networks to handle signal subscriptions, trade routing, and portfolio management in a trustless manner. * **Database & Caching Layer:** PostgreSQL for persistent storage and Redis for caching frequently accessed data (e.g., live price feeds, user sessions). --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://vantix-ai-docs.gitbook.io/vantix-ai/architecture-and-design/system-overview.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.