Anyone who wants to use AI in Business with real data soon runs into a limit: contracts, personnel data and design documents do not belong on someone else’s servers. With your own AI server you run powerful language models on your own premises – full data sovereignty, fixed costs, no dependence on provider tariffs.
A cloud service is fine for first steps. But as soon as AI is to work with real company data and is in use every day, the calculation shifts considerably.
Contracts, personnel files, design data and customer correspondence never leave your network. No third party processes them and no model is trained on them – removing the most common reason AI projects are stopped in mid-sized companies.
GDPR without grey areasCloud AI is billed per request – the bill grows with usage. Your own server costs a one-off amount plus operation. The more intensively you use AI, the cheaper each individual request becomes.
Fixed costs instead of metered useRequests run on the local network instead of over the internet. No waiting because providers are overloaded, no throttling at peak times – and if the internet fails, your AI simply carries on.
A response in millisecondsNo price increases, no discontinued models, no changed terms of use. You decide which model runs in which version – and for how long.
No vendor lock-inThe model is connected to your documents, your terminology and your processes. Results sound like your company – not like general internet knowledge.
Your knowledge, your toneThe server is not just there for text work: speech recognition, document classification and image analysis run on the same hardware – with no additional licence costs per user.
One foundation, many applicationsThe decisive factor is graphics memory (VRAM): it determines how large the language model may be and how many people can work at once. We size the system to your actual needs – often less is required than first assumed.
For the first productive use case: text work, knowledge search and document analysis for one team or department.
For company-wide use with several parallel applications – such as a chat assistant, invoice reading and minute summarisation at the same time.
For companies with high throughput, several departments or their own development – including failover and a test environment.
Example configurations for orientation. We select the specific hardware according to your use case, the model requirements and your existing infrastructure – including checking the power supply, cooling and network connection at the installation site.
One server, several applications – all with access to the same knowledge base and the same permissions as your other systems.
Your own chat assistant in the browser – for texts, summaries, translations and research. Visually and functionally like the well-known services, only on your own network.
Manuals, contracts and minutes are indexed. Staff ask a question and receive the answer with a source reference – instead of searching through folder structures.
Incoming invoices, delivery notes and forms are read, checked and assigned automatically – connected directly to your document management system.
Meetings, phone calls and dictation are transcribed and summarised. Particularly effective in combination with your 3CX phone system.
Quality inspection in manufacturing, counting and classifying objects or analysing camera images – processed locally, without sending any image data outside.
The server provides a standardised programming interface. Your existing applications and specialist programs can integrate AI functions directly.
Both have their place. This overview shows when each route makes sense – and we will advise you even when the cloud is the right answer for you.
| Criterion | Cloud AI | Your own AI server |
|---|---|---|
| Confidential data | Leave the building, review required | Stay entirely on your network |
| Entry costs | Very low, ready immediately | Einmalige Investition in Hardware |
| Cost under intensive use | Rises with every request | Stay constant |
| Response times | Depends on internet and load | Constant on the local network |
| Availability if the internet fails | Not usable | Carries on running |
| The latest models | Immediately available | Depends on the hardware |
| Operating effort | None | Present – handled by us |
| Scaling upwards | Practically unlimited | By expanding the hardware |
An AI server is not a device you set up and forget. As a managed service provider we take over its complete operation – just as you know it from our other server solutions.
We determine the actual requirement, check the power supply, cooling and network at the installation site and procure the right hardware.
Assembly, setting up the models, connection to Active Directory, file storage and business applications – including a permissions concept.
Round-the-clock monitoring of utilisation, temperature and availability. We take care of model updates and security patches.
Backup of the configuration and knowledge index, plus regular checks that the capacity still matches how you use it.
That depends above all on the number and size of the graphics accelerators. An entry-level system for one department costs considerably less than many expect – an enterprise system with several accelerators correspondingly more. You receive a specific quote from us covering hardware, set-up and ongoing support, so you can calculate cleanly against your cloud costs.
On general world knowledge the largest cloud models are ahead. For typical business tasks – texts based on your own templates, analysis of your own documents, summaries – good open models are entirely sufficient. In any case the model matters less than a clean connection to your data.
For smaller systems the existing technical room is often enough – what matters is adequate power supply, cooling and a network connection. We check this on site beforehand. If the conditions are not met, housing in a German data centre is also possible while the data still belongs to you.
Rack systems are clearly audible in operation and therefore do not belong in the office. Power consumption arises mainly under load – at idle it is considerably lower. We include the expected operating costs in the quote so there is no surprise on the electricity bill.
Yes, and that is exactly what we recommend. From the outset we choose a housing and power supply that can take additional accelerators. That way you start with one GPU and add more once usage and benefit are proven.
The configuration and knowledge index are backed up so the service can be restored quickly. Defined response times apply through our managed services; on request we hold replacement hardware in reserve or set up a fallback operation.
We look at your planned use cases, estimate the requirement realistically and compare it against the costs of your cloud alternative. Free and without obligation.