A practical comparison
Local and cloud AI solve different problems.
The useful question is where your information should go, who will maintain the setup and how much control the workflow needs.
| Question | Hosted / cloud option | Local / private option |
|---|---|---|
| Where does processing happen? | With the provider’s hosted service, subject to its terms and configuration. | On hardware or infrastructure selected for the business, subject to its maintenance. |
| Who owns the maintenance work? | The provider maintains the service; you still manage access, settings and workflow use. | You or an appointed operator manage the machine, updates, backups and access. |
| What is the upfront work? | Account setup, permissions and workflow configuration. | Those steps plus hardware, network, model and backup decisions. |
| When can it fit? | When a hosted service is acceptable and you value a simpler start. | When data location or control is worth the extra setup and ongoing responsibility. |
There is no universal winner
A local setup is not automatically cheaper, safer or better. A cloud setup is not automatically suitable for every record. Start with the workflow, classify the information and decide what your team can realistically maintain.
You pay model or subscription fees directly to your AI provider. We do not resell usage or store your passwords or tokens. You are responsible for following the terms of the AI services you use.
Need help deciding?
We can map one workflow and give you a written choice with the assumptions visible. Send an enquiry.