Typical trigger
AI infrastructure for sensitive data, latency and operating constraints.
We determine whether private AI infrastructure is appropriate for your use case and which data, security and operational questions need to be resolved first.
Infrastructure
Private AI Infrastructure
We assess whether a private cloud, a European provider or on-premises infrastructure best fits your data, security requirements and operating constraints.
Situation map
Signal
Public cloud is excluded
Risk
Operations unclear after PoC
Guardrail
Operating model with real numbers
Situation
Typical starting point.
Public AI services are not suitable for every type of data or process. Privacy requirements, contracts, latency or ongoing costs may call for private infrastructure. The key questions are which operating model is realistic and what it will require beyond the hardware.
Which data must be processed privately, and where would an external service with appropriate safeguards be sufficient?
What ongoing costs arise beyond the hardware, including patching, monitoring and model updates?
Would a European cloud provider meet the requirements, or do the constraints require infrastructure under your own control?
Risks
What goes wrong if it remains unresolved.
On-premises infrastructure without clear ownership for secure and reliable operation.
Investment in GPU capacity before workloads, expected utilisation and future scaling needs are understood.
Assuming that privacy requirements always demand on-premises operation without assessing alternative safeguards.
Related services
How we support you.
Infrastructure
For AI, automation and software systems with clear technical requirements for data, availability and operations.
View serviceConsulting
For decisions on AI, architecture and tooling that need to fit existing systems, teams and operational conditions.
View serviceGuides
Further reading.
Agentic engineering: what teams should clarify first
Six questions about data boundaries, working practices, reviews, value and ownership when using coding agents.
Read guideWhich infrastructure model fits your AI workloads?
Describe the data involved, your requirements and the current environment. We will compare suitable operating models and include ongoing costs in the assessment.