AI infrastructure
The right infrastructure so AI runs where you want it.
On-premise servers, European private cloud or hybrid architectures: we design, install and run the technical base of your AI projects, with security and predictable costs.
Infrastructure · sample
- On-premise MCP server · live
- Backup and 24/7 monitoring
- Data always in the company
What we design
Six components, one responsibility: yours.
Every infrastructure is sized on the company’s real workloads, not on standard price lists.
On-premise or private-cloud platform
Dedicated servers on site or a private cloud in Europe, sized for the models you will actually use.
MLOps pipeline
Training, testing, release and monitoring of models with versioning and controlled deployments.
Data architecture
Stores, vector indexes and integration flows to feed AI with quality data.
Security and compliance
Encryption, access control, activity log and compliance with GDPR and the AI Act.
Monitoring
Dashboards on performance, costs and model drift, with alerts and periodic reports.
Edge computing
Local processing for minimal latency and business continuity even offline.
The method
From assessment to ongoing management.
01
Assessment
Analysis of the existing infrastructure and of the AI use-case requirements.
02
Design
Architecture sized on workloads, security and budget, with on-premise and cloud options.
03
Installation
Incremental roll-out with continuous testing and migration without downtime.
04
Management
Monitoring, updates and performance optimisation over time.
Comparison
On-premise, private cloud or hybrid?
We help you choose based on data, budget and regulatory constraints.
| On-premise | European private cloud | Hybrid | |
|---|---|---|---|
| Where data lives | On your servers | In a dedicated European data centre | Sensitive data on site, the rest in the cloud |
| Cost | Upfront investment, fixed fee | Variable monthly fee | A combination of both |
| When it fits | Sensitive data, regulated sectors, high volumes | Fast start, variable workloads | Companies with mixed needs |
Further reading
Technical and strategic reading.
Frequently asked questions
How much does AI infrastructure cost for an SME?
It depends on models, volumes and security requirements: a basic installation starts at €15,000, complete solutions exceed €75,000. The AI Accelerator programme (€15,000–€25,000) includes the basic installation, the pipeline and training. The initial assessment is free.
Cloud or on-premise?
For many SMEs a European private cloud reduces upfront costs and simplifies maintenance. On-premise pays off when data is sensitive, the sector is regulated or volumes are high. The answer is often hybrid.
Which cloud providers do you use?
We design on Microsoft Azure, AWS and Google Cloud, as well as independent European data centres, choosing on the basis of existing stack, budget and data-sovereignty constraints.
How long does it take?
A basic installation takes about 15 days; a complete infrastructure 30 to 90 days. We use infrastructure as code for fast, repeatable releases.
Let’s talk about your business.
45 minutes with a PugliAI consultant: process review, priority opportunities and a written report with an ROI estimate. Free and without obligation.