# What is on-premises AI?

Official page: https://aitje.com/en/knowledge/wat-is-on-premise-ai

> On-premise AI means that AI runs on infrastructure managed by your own organisation or at your own premises. This can help with privacy, compliance, business continuity and control over systems.

### In brief

On-premises AI runs on hardware belonging to the organisation, branch or in-house management environment. Rather than sending all processing to an external AI service, you keep the most important components closer to your own infrastructure.

### When should you choose this option?

On-premises AI makes sense when data is sensitive, systems need to continue operating locally, or when external platforms do not align with policy, costs or availability. It is particularly relevant for organisations with clear requirements regarding management and access.

### What is the difference between this and cloud AI?

With cloud AI, processing largely runs on infrastructure provided by an external provider. With on-premises AI, more responsibility lies with the organisation itself or with a partner managing the local environment. You gain control, but must organise management effectively.

### What components are included?

In addition to the model, you’ll need hardware, software, access management, logging, updates, monitoring and support arrangements. On-premises AI is therefore not just about installing a model, but about building a workable environment.

### Practical nuance

‘On-premise’ does not mean that nothing can ever be outsourced. Some organisations combine on-premise processing with selected external integrations. It is important to make a conscious decision about which parts remain on-premise and where external services are or are not appropriate.

## Contact

[Contact AITJE](https://aitje.com/en/contact) — contact@aitje.com