> For the complete documentation index, see [llms.txt](https://docs.vannalabs.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.vannalabs.ai/vanna-network/data-storage/model-storage.md). # Model Storage The AI/ML models will be stored on Vanna's swarm on IPFS, for accessing the IPFS swarm and connecting to it see the link below. {% content-ref url="/pages/26v5MvwQ1pcNFcoBawT4" %} [Model Storage](/build/getting-started/model-storage.md) {% endcontent-ref %} Storing AI/ML models on a permissionless storage network like IPFS leverages decentralization, mitigating the risk of single points of failure and ensuring model availability even in the absence of centralized servers. This resilience enhances reliability and robustness, a crucial factor for ensuring inference liveness on the Vanna Network. Moreover, IPFS fosters transparency by enabling easy tracking of model history and versioning, facilitating collaborative development and verification processes. This transparency promotes trust among stakeholders and encourages participation in model improvement and validation efforts. Overall, utilizing IPFS for model storage empowers a more resilient, transparent, and collaborative AI/ML ecosystem that fits Vanna's ethos. --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## 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, and the optional `goal` query parameter: ``` GET https://docs.vannalabs.ai/vanna-network/data-storage/model-storage.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. 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.