# Hardware Requirements To participate in VisionNexus as a node operator, certain minimum hardware requirements are necessary to ensure optimal performance for storage, computational tasks, and validation. These requirements help maintain the integrity and efficiency of the network, ensuring that VisionNexus can support both VisionGame products and community-driven activities. **Hypothetical Minimum Requirements:** * **Processor:** Quad-core CPU (Intel i5 or AMD equivalent) or better to handle multiple simultaneous tasks. * **Memory:** 8 GB RAM minimum, with 16 GB recommended for more demanding tasks such as AI processing or large data handling. * **Storage:** 1 TB SSD for fast read/write speeds and sufficient data storage. HDDs are supported but may impact performance, especially for applications requiring high-speed data retrieval. * **Network:** Reliable internet connection with at least 50 Mbps download/upload speeds to minimize latency and support smooth operation, particularly for validation tasks. * **Operating System:** Linux (Ubuntu recommended) or Windows 10/11, with Linux generally preferred for better performance and stability in distributed computing tasks. * **GPU (Optional):** For nodes supporting AI or heavy computational tasks, a dedicated GPU (e.g., NVIDIA GTX 1060 or equivalent) is beneficial but not required for basic participation. These requirements are designed to make VisionNexus accessible to a wide range of participants while ensuring each node can contribute effectively to the network. As VisionNexus grows, these specifications may evolve to support additional functionalities and higher network demands. --- # 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://docs.visiongame.io/visionnexus-depin/visionnexus-license-node/hardware-requirements.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.