Expertise/Custom AI/Infrastructure & hardware
AI infrastructure & hardware

AI all the way
down to the hardware.

GPU servers, edge, on-premise: we design, install and operate AI infrastructure sized for your workloads, your latency constraints and your sovereignty requirements.

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A cloud bill spiraling out of control, latency that's too high, data that must not leave: the public cloud quickly hits its limits. We design your dedicated AI infrastructure, all the way down to the hardware.

Your AI infrastructure.

01 / 04
01GPU servers

Exactly the power you need.

Servers sized for your real workloads, without paying the cloud's margin. Servers sized for your real inference and training workloads, without paying the public cloud's margin, with performance and costs under control.

01

Sizing

Down to the essentials.

02

Training

Of your in-house models.

03

Inference

Fast and cost-efficient.

02Edge

As close to the data as it gets.

Compute where the data is born: guaranteed real time, nothing goes up to the cloud. Compute runs where the data is born, for minimal latency and guaranteed real time, without sensitive information ever going up to the cloud.

01

Latency

Real time.

02

Local

Your data stays with you.

03

Resilience

Works even offline.

03On-premise

On your premises, sovereign.

Your servers, your walls, your rules: nothing leaves your perimeter. Your servers, within your walls, under your rules: nothing leaves your perimeter, a choice that is often decisive for confidentiality and sovereignty.

01

Sovereignty

Your data, your rules.

02

Compliance

Healthcare, finance, public sector.

03

Control

Full ownership.

04MLOps

Industrializing AI.

Models deployed, monitored and updated without breaking production. Models deployed, versioned, monitored and updated without breaking production, to industrialize AI instead of piling up prototypes.

01

Pipelines

From data to model.

02

Monitoring

24/7.

03

Updates

With zero downtime.

Deliverables

Down to the hardware.

From sizing to deployment, we design, install and operate your AI infrastructure, with sovereignty at its core.

  • GPU sizing
  • On-premise / edge deployment
  • Security and sovereignty
  • MLOps pipeline
  • Monitoring
  • Maintenance

From idea
to result.

A short, transparent process, designed to deliver fast without ever improvising.

01

Scoping

We quantify your workloads, your latency and sovereignty constraints, and the target operating budget.

02

Design

Architecture, GPU selection, network topology. We size everything precisely before buying.

03

Build & deployment

Installation, configuration, networking and hardening, all the way to the first inference in production.

04

Growth

Continuous monitoring, cost optimization, and scaling up as your needs grow.

Proof

High-performance and sovereign.

A healthcare player brought its AI back on-premise. Patient data no longer leaves, latency drops, and so does the cloud bill.

-50%
inference cost
×3
lower latency
100%
sovereign
24/7
monitored

Your AI, your hardware, your sovereignty.

Go further.

This service is at its strongest combined with the rest of our expertise.

Frequently asked
questions.

Your questions about AI infrastructure.

Why a dedicated AI infrastructure?
To keep performance, confidentiality and costs under control as usage grows, instead of depending entirely on the public cloud.
Cloud, edge or on-premise?
It depends on your latency, data and budget constraints. We size the GPU infrastructure as close as possible to your real usage.
Do you help with hardware selection?
Yes, from sizing the GPU servers to commissioning, including optimizing compute costs along the way.
Can we host our models privately?
Yes, that is often the whole point: keeping your data and your models on your premises, under your control.

Let's design
your AI infrastructure

30 minutes to scope your workloads and sketch the infrastructure you need.