# 4.3 Technical Infrastructure DuckChain’s AI Module is built on a very strong foundation to ensure scalability, security, and efficiency. ### **Infrastructure Layer** * **Arbitrum Orbit:** High-speed, low-cost execution environment. * **Bittensor:** Distributed AI training resources. * **Phala Network:** Decentralized cloud computing for secure data processing. ### **AI Data Layer** * **CARV:** High-quality data storage and monetization tools. * **Vana:** User-owned AI models for personalized support. * **ThirdEye Data:** Advanced data analysis and processing. ### **Consumer Layer** * **UXLINK:** AI-powered social applications. * **Virtuals Protocol:** Smart agent functionalities for tokenized applications. * **Fyde Treasury:** Liquidity management and DeFi investment strategies. DuckChain’s AI Module is more than a feature; it’s a movement to redefine blockchain interactions for billions. By combining AI with a user-first approach, DuckChain is making blockchain simple, accessible, and engaging. For a deeper dive into DuckChain's AI initiatives and roadmap, read our full article[ here](https://duckchain.medium.com/duckchain-ai-landscape-driving-mass-adoption-through-ai-and-evm-integration-44bb8d66d5bd). --- # 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://diary.duckchain.io/4.-duckchain-ai-module/4.3-technical-infrastructure.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.