What local AI is and when to keep it in-house

AIR Editorial Team
What does it mean to use AI locally, on premise?Using AI locally means running the model on your company's own computers or servers, instead of through a vendor's cloud service, so that your data stays inside the company.
The short version

With the cloud, you send your data to the vendor and get the answer back. Locally, the model sits on your own machine: the data doesn't leave, you don't pay per request, and the service keeps working even if the vendor changes its terms.

In return, you take on the machine, the updates and the security, and you use open weight models that, on some tasks, are less capable than the best cloud services. Often the right solution is a mix: sensitive data and repetitive tasks locally, everything else in the cloud.

An example at an SMB

A law firm wants to classify and summarise documents that contain client data. It installs a local model for summaries and sorting. For generic drafts with no personal data, it uses a cloud service under a business contract.

The most common mistakes

  • Buying hardware before testing the model on your own documents.
  • Assuming that local means secure without doing anything: the machine has to be protected like any other server.
  • Expecting the office machine to match the speed of cloud services.

Why it matters to you

If you handle health, legal or employee data, local AI simplifies the privacy question: if the data doesn't leave, there is no external vendor to assess for that processing. Internal obligations remain, such as security, access and the record of processing activities, but the perimeter is yours.

All the AI terms, explained simply, are in the glossary.

Frequently asked questions

What hardware do you need?

It depends on the model. The smallest run on a good recent computer, while the largest need graphics cards with a lot of memory. It's worth testing on your real task before you buy anything.

Does a local model update itself?

No. When a better version comes out, you download it and test it on your own cases before replacing the one in use. That's also an advantage: nobody changes the model under your processes without telling you.

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Text and graphics created with the support of AI. Method and content are AIR's.

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