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Hosting & operations

Hosting

On-premise operation for businesses

On-premise means that we install the solution – such as n8n, Paperless-ngx, Open WebUI, Qdrant or a local language model – directly on a server in your company. Your data does not leave your network. This is the right choice if data protection, professional secrecy or internal requirements preclude external processing.

Licence
Your hardware
Operation
At your location

What we use On-premise operation for

  • Subject to professional secrecy

    Law firms, practices and advice centres with data that is particularly worthy of protection.

  • Local AI

    Language models on their own hardware, without texts leaving the house.

  • Connection of internal systems

    Direct access to network drives, databases and specialist applications in your own network.

  • Use existing hardware

    Continue to use existing servers where they are sufficient.

Why On-premise operation?

  • Maximum data sovereignty

    Everything runs on your network.

  • No ongoing cloud costs

    Hardware is yours; costs for models per request are eliminated.

  • Easy for data protection

    No order processing by a hoster for the data itself.

  • Same tools

    The same open-source tools as in the cloud.

What we take care of with On-premise operation

  • Testing your hardware or recommending new
  • Installation and protection in the network
  • Backup concept
  • Remote maintenance and updates by appointment
  • Training your IT or team

Implementation and consulting can often be subsidised through German BAFA or INQA funding.

Check funding

What it is not meant for

You are responsible for power, cooling, physical security, and spare parts. Powerful language models need graphics cards with a lot of memory. Without regular updates and tested backups, on-premise installation is riskier than a well-operated cloud.

Frequently asked questions about On-premise operation

What does on-premise mean?

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The software runs on hardware in your own house instead of at a hoster. Data does not leave your network.

What hardware do I need for local AI?

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For applications such as n8n or Paperless-ngx, a normal server is sufficient. For local language models, a graphics card with enough memory is required; gpt-oss-20b, for example, runs on 16 GB.

Who maintains the installation?

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By arrangement, we can use remote access or your IT. Regular updates and tested backups are important.

Is on-premise more expensive than cloud?

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In the beginning, usually yes, because of the hardware. Over the term, it can be cheaper because there are no ongoing cloud and model costs.

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Product names and logos mentioned are trademarks of their respective owners. bettersorted uses this software and operates it for clients; there is no official partnership.

A 30-minute conversation, free of charge.

A 30-minute consultation, free of charge. We’ll take a look at your processes and give you our honest opinion on whether automation is worthwhile.

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