# Our Solution ### CoFHE (Collaborative-Fully Homomorphic Encryption) To cover 95% of the AI use cases today, the confidential inference solution must generate atleast 3-4 token/sec for a decent sized model, say 50 billion parameter. At OpenVector, we have invented a new cryptographic primitive called CoFHE that scales proportionately to the scaling GPU compute. It does not require any bootstrapping operations and solves the high communication bandwidth overhead as in the case of MPC based methods for similar confidential compute operations. The OpenVector network leverages CoFHE to build decentralised and confidential AI uses cases. To access the cryptographic construction for CoFHE, please email at --- # 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://openvector.gitbook.io/docs/introduction/our-solution.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.