Skip to main content

BranchPart of AI Systems.

All four branches

AI systems · Cloud & hybrid

When you actually need serious compute.

Not everything can sensibly be computed on a machine in the office. Large models need graphics power, and that sits in hardware you rent. Then your system runs on its own server — in Germany if you want, with you owning the instance. And where it fits, combined with a local part at your place.

What you get

What speaks for a hosted setup

The strongest models
What is currently at the top runs on data centre hardware. If your use case needs that quality, there is hardly a way around it.
Reachable from anywhere
Team, branches, phone on the road, your website. A hosted system is reachable by default, without punching holes in your home firewall.
Grows with the load
More users or more throughput means bigger hardware — not buying new and moving house.
German location on request
The server can sit in a German data centre, with you owning the instance rather than renting a slot in someone else's platform.
We run it
Setup, updates, monitoring, backups. You use the system, we keep it running.
Hybrid possible
Process sensitive data locally at your place, run compute-heavy parts in the cloud. What goes where we define together beforehand.

When this is the right way

Three typical reasons

Several people, several places

When it is not one person at one desk but a team across locations using the same system.

The system hangs off your website

Anything that has to be available to visitors or customers around the clock belongs on a machine that is always up.

The task needs full model quality

Where a smaller local model visibly hits its limits and the result suffers for it.

How it goes

From conversation to a running server

  1. 01

    Conversation

    What should the system do, how many people use it, which data is involved. From that follows cloud, local or hybrid.

  2. 02

    Scoping

    Which machine, which location, which models. You get a concrete quote including running costs.

  3. 03

    Build

    We set up server, database and services, connect your systems and test with real cases.

  4. 04

    Operation and support

    Monitoring, updates and backups run on our side. You get access and we stay reachable.

FAQ

Frequently asked

Why is the dedicated AI server here and not under local systems?

Because we mean local literally: the machine stands with you and belongs to you. An AI server with real graphics power runs on rented hardware in a data centre. That is a good route, but it is hosted — calling it local would be mislabelling, even when it stands in Germany.

Isn't that then the same as just using ChatGPT?

No. With a large provider you are a user on their platform, under their rules and data paths. Here an instance runs that is assigned to you, with your database and your connections. You can move without starting from zero.

What about data protection?

A server in Germany is a shorter path than a platform whose processing you cannot see — but it is not the same as a machine in your own building. If data fundamentally must not leave, the local branch is the more honest proposal, and we will say so.

Can I switch later?

Yes, in both directions. Many start hosted and later move sensitive parts onto a machine on site — or the other way round, when one workplace becomes a team. We build so that stays possible.

Not sure which fits you?

That is the most common question — and one conversation usually settles it. We'll tell you honestly whether your case belongs in the cloud, on your own machine, or split across both.