> For the complete documentation index, see [llms.txt](https://docs.bdb.ai/data-pipeline/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.bdb.ai/data-pipeline/~/changes/hPXwcPgG9oW1n2fHDeOk/data-pipeline/distributed-compute.md).

# 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.