Comparison · Infrastructure
Own infrastructure or US API: what fits whom?
US cloud APIs offer an immediate start without hardware expense, but require transmitting sensitive data to external data centers. Dedicated on-premise AI infrastructure processes data completely inside your network, providing predictable costs and full model control, but requires proactive operations. The deciding factor is the sensitivity of your data.
| Criterion | Public Cloud API | On-Premise / Own Servers |
|---|---|---|
| Data Location | US data centers or hyperscalers | Own data center or dedicated EU servers |
| Privacy & Compliance | DPA required, must verify model training opt-outs | GDPR-compliant by design, no data leakage |
| Cost Model | Usage-based (tokens), scales linearly with queries | Predictable hardware and operational costs, flat rate |
| Model Control | Forced model updates, silent version shifts | Free model choice (e.g. Llama, Mistral), pinned versions |
| Adoption & Operations | Zero hardware setup, immediate API access | Setup and monitoring required, operated by PRCS |
| Trade Secrets | High risk for confidential contracts, CAD and financials | Complete data sovereignty, ideal for professional secrecy |
When each option fits
Public cloud APIs suit non-critical, generic tasks without company data. Dedicated infrastructure is the standard for mission-critical processes, sensitive customer records, and scalable independence.
Which option fits you, we work out in the audit using your data. 45 minutes, free.Start your audit →