# ZentCloud ZentCloud brings decentralized cloud computing to AI development on Zentium.tech, making it possible to run AI models directly on-chain without relying on traditional servers. Instead of depending on a single provider, it uses a distributed network of computing resources to handle AI workloads at scale. Developers can execute complex AI models, distribute computational tasks, and optimize performance without slowdowns. This system adapts to different demands, like powering AI-driven dApps, processing large datasets, or running machine learning algorithms. Without the constraints of centralized infrastructure, ZentCloud keeps AI computing flexible, scalable, and reliable, ensuring applications remain accessible when needed. --- # 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://zentium.gitbook.io/tech/core-components/zentcloud.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.