# Distributed Compute ## Distributed Compute Distributed computing is the process of connecting multiple computers via a local network or wide area network so that they can act together as a single ultra-powerful computer capable of performing computations that no single computer within the network would be able to perform on its own.Distributed computers offer two key advantages: * **Easy scalability:** Just add more computers to expand the system. * **Redundancy:** Since many different machines are providing the same service, that service can keep running even if one (or more) of the computers goes down. ![](https://859511478-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FGDmsjfjJBNqow7Fo97cO%2Fuploads%2FsiFD7QRBCbeXXbEulJRY%2Fimage.png?alt=media\&token=a4ea8f26-b3f2-4e7a-a431-f57b92e34c2a) The user can run multiple instances of the same process to increase the process throughput. This can be done using the auto scaling feature. --- # 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.bdb.ai/data-pipeline-2/data-pipeline/distributed-compute.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.