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Definition

What is Data residency?

Data residency is Data residency is a requirement or promise that your data is stored and processed in a specific country or region, which for AI includes where prompts are run, not only where files sit.

Data residency is about geography. It answers one question: in which country or region does my data physically live and get processed?

Storage versus processing

With ordinary software, residency mostly means where files are stored. With AI there is a second half: where your prompt is run. When you send a request to an AI provider, the text travels to a data center, a model reads it through inference, and the answer comes back. If that data center is in another country, your data crossed a border even if nothing was saved.

That is why AI providers now offer separate controls for each half. Some let you keep stored data in a chosen region. Some also offer in-region inference, meaning the GPUs that process your prompt sit in that region. A strict arrangement needs both.

Why people ask for it

  • Law: some countries and industries require certain data to stay inside borders. Health, finance and government records are common examples.
  • Contracts: large customers often write a region into their agreements.
  • Trust: keeping data close can calm worries about foreign access.

What it does not guarantee

Residency is necessary for many compliance needs but not sufficient. It says where data sits, not who can be compelled to hand it over. A foreign company running a local data center may still be subject to its home country's laws. That broader question of control is what sovereign AI tries to address.

Residency also differs from zero data retention. Residency is about location. Zero data retention is about whether the provider keeps your prompts and outputs at all. You can have either, both or neither.

It is also a separate matter from on-device AI, where the model runs on your own hardware and the data never leaves it.

What to ask a provider

  1. Where is my data stored, and can I choose the region?
  2. Where are my prompts processed? Is in-region inference available?
  3. Are logs, backups and support access covered by the same region?
  4. Which features or models are excluded from the regional option?

The last question matters most in practice, because regional options are often limited to certain models or products.

An analogy

Think of a bank vault. Residency tells you which city the vault is in. It does not tell you who holds the keys.

Questions people ask

What is data residency in AI?

It is keeping your data stored and your prompts processed inside a chosen country or region, which requires both regional storage and in-region inference.

Is data residency the same as zero data retention?

No. Residency is about where data is handled. Zero data retention is about whether the provider stores your prompts and outputs at all.

Data residency in the news

#05

OpenAI drops data center NDAs after voters say no

OpenAI said Nov. 5 it will stop requiring NDAs in talks with local officials and will pay full electricity and grid costs at sites it owns, two days after voters rejected data centers. The pledges are real, and so is the gap: they may not reach sites partners build.