Guide / Industrial AI
Private AI, European cloud or API: Choose by workload
On-premises AI runs on infrastructure at your own site. A private cloud provides an isolated environment, while a model API gives an application access to a service. These categories overlap: a privately hosted model can also expose an API. Compare actual data flows, access and operating responsibilities.
Private infrastructure can be the right choice when data must stay within a controlled environment or a task needs to work without an external connection. For an occasional workload, it may introduce more operational responsibility than the business can justify.
Choose the environment after defining the task, data restrictions, quality requirements and expected load. A company-wide preference for cloud or on-premise deployment cannot settle every application decision.
Establish the operating requirements
Map every data flow, including retrieved documents and logs. State where each type of information may be processed and who may access it. Then define a task that can be evaluated: extracting requirements from a technical request is more useful than asking which model is "best."
Record average usage, plausible peaks and acceptable waiting time. Identify the team responsible for updates, incidents and recovery. Infrastructure ownership without operating capacity can leave the application dependent on a different supplier.
| Option | A reason to consider it | Questions to resolve |
|---|---|---|
| External model API | A suitable service satisfies the task and data requirements | Retention, processing routes, model changes and service failure |
| European cloud region | Geographic processing boundaries are required | Administrative access, support and subprocessors beyond the region label |
| Infrastructure with stronger sovereignty requirements | Legal and operational control are central to the workload | Actual control arrangements and remaining dependencies |
| Private cloud or on-site deployment | The workload needs customer-controlled infrastructure | Staffing, licences, capacity, maintenance and recovery |
These are decision categories used by Welf, not certification labels. European hosting alone does not establish that a particular use is compliant with data-protection requirements.
Compare the cost of a usable result
Model prices cover only part of the workflow. A useful comparison includes infrastructure, operations, implementation, human review and correction.
Use this planning relationship:
Cost per usable case = total stated workflow cost / usable completed cases
Keep the accounting period and scope consistent. Low utilisation changes the economics of dedicated hardware. Repeated API calls change the cost of an external service. Review time matters in either case.
Start with normal demand, low utilisation and a plausible peak. Populate the comparison with current offers and measured task performance. Without those inputs, a precise cost winner would be misleading.
Request comparable offers
Ask each supplier for capacity under your workload, retry charges, available model versions, change notices and the cost of a complete export. For private deployment, include cover for absences and incidents.
Separate initial and ongoing costs. Compare options at the same acceptance threshold. A cheaper process that leaves more unusable cases is not an equivalent offer.
Define what happens when the service fails
A second provider is a valid fallback only if it is approved for the same information and task. An automatic route must not send confidential context to a previously excluded environment.
For some workloads, a documented manual process is the appropriate fallback. For others, a tested alternative deployment is justified. State who activates it and how the application recognises work already completed.
Different workloads can use different environments, provided the routing rules are explicit and enforced. Do not ask the model itself to decide which confidentiality boundary applies.
Welf evaluates deployment options against your operating constraints. Our private AI page describes the work, and our digital sovereignty guide explains the ownership questions behind it.