Take back control of your Artificial Intelligence
Your AI, your data, your infrastructure. Run advanced models on your own servers in Europe, outside the US Cloud Act. No data exposure to third parties.
Uninterrupted security
Zero data silos
Your servers
100% Open Source
Total control
The risks of US-hosted cloud AI
Cloud AI solutions force you to send data to US servers subject to the Cloud Act. What are the real dangers?
Data leaks
A breach can expose your sensitive information to the world. Your data passes through servers outside your control.
Loss of control
You don't know how your data is actually processed by cloud giants.
Non-compliance
GDPR, HIPAA... External storage can create compliance issues.
Dependency
Platform costs and restrictions change without your control.
Hidden costs
Per-token and per-request fees accumulate quickly and explode at scale.
The AI toll
Over the past ten years, your company became a tenant of its software, subscription after subscription. With AI, the same shift is happening again, and it goes further. This time it is your way of working that goes up for rent.
The AI business model runs on the token. Every triaged email, every meeting summary, every draft written for your teams pays a toll to ChatGPT, Claude, Gemini or Mistral. That usage cost tracks your adoption. The more your teams rely on it, the more it weighs on your margins.
The toll is not the worst part. To do that work, the AI needs your processes and your know-how. Even pseudonymised, your data describes how your company operates. And the consumer versions of these tools explicitly allow training future models on your conversations. Your know-how leaves the building, and you pay for it.
Three questions to ask before deploying AI
Where does the model run?
On your servers or in a European datacenter, not behind an API hosted outside Europe.
Who keeps the data?
You do. Nothing leaves for a third party, nothing trains a model you do not control.
What does each use cost?
A predictable infrastructure cost, instead of a per-token meter that climbs with adoption.
Open-source AI hosted on your side answers all three. You keep the same models the big providers use, without the toll or the leak of your know-how, and you stay the owner of how you work.
After an op-ed by François-Guillaume Ribreau, co-founder of Bunker. Read the op-ed on LinkedIn
- Data under Cloud Act
- Unpredictable costs
- Zero data control
- Data in Europe
- Predictable costs
- Total control
A 100% private AI on your infrastructure
With Bunker, run advanced AI models on your servers, without ever exposing your data to third parties.
Test first in the cloud
Evaluate open-source models before investing in infrastructure.
On-premise deployment
Evaluate open-source models before investing in infrastructure.
Local execution
Your data stays internal, without dependence on cloud giants.
Turnkey AI servers
Ready-to-use solutions, adapted to your needs and budget.
Compact servers
Affordable solution to get started with AI easily.
- Mac Mini M4 (16GB)
- NVIDIA Jetson Orin Nano
Powerful solutions
For advanced AI and large models.
- PC avec RTX 4090/5090
- NVIDIA Digits
Private Data Centers
Dedicated architecture with optimized management.
- Custom infrastructure
- Dedicated support 24/7
Local AI that does not lock you into a box
A turnkey AI box answers the first need: keeping your data inside your walls. But it locks you into the model the vendor picked and caps the power to the hardware you bought. Bunker starts from the same sovereignty, your data in Europe on your own servers, and adds the freedom to switch models and scale up as your usage grows.
| Criterion | Closed AI box | Bunker |
|---|---|---|
| AI model | Fixed, chosen by the vendor | Open source of your choice (Mistral, LLaMA), swappable |
| Capacity | Capped by the delivered hardware | From a compact server to a private datacenter, on demand |
| Before investing | Hardware purchase upfront | Test in the sovereign cloud, then on your servers |
| Scaling up | Replace the box | Without changing infrastructure |
| Reversibility | A single vendor | Open source, you stay in control |
Frequently asked questions
What is on-premise AI? +
On-premise AI means deploying artificial intelligence models directly on your own servers or in a datacenter in France, rather than using American cloud services. Your data never leaves your infrastructure.
Which AI models can be deployed on-premise? +
All open-source models: LLaMA, Mistral, Falcon, and their fine-tuned variants. Bunker provides the GPU infrastructure and support for deployment, inference, and fine-tuning.
Is on-premise AI GDPR-compliant? +
Yes. By hosting your models in France on your infrastructure, your data never transits through any service subject to the US Cloud Act or FISA. GDPR compliance is native.
How much does an on-premise AI server cost? +
Configurations start with NVIDIA GPUs adapted to your usage. Contact us for a personalized quote based on your inference and fine-tuning needs.
Should you buy a turnkey AI box or use a sovereign cloud? +
A delivered box keeps your data on-site, but it locks the model and the power to the hardware you bought. Bunker lets you test a model in the European sovereign cloud, deploy it on your own servers, then scale up without replacing the machine. You keep sovereignty with infrastructure that follows your usage.
What are the limits of a fixed on-premise AI server for an SMB? +
A single server caps the number of users, the model size and the volume of documents it processes. When needs grow, you have to buy new hardware. With open-source AI hosted by Bunker, you switch model or power on demand, and your data stays in Europe.
Does open-source AI really differ from a proprietary turnkey offer? +
Yes, on what matters, ownership. A proprietary offer stays a black box, so you cannot see what runs and you cannot leave with it. Open-source AI (Mistral, Llama, Qwen) hosted by Bunker lets you audit the code, switch models and, when the time comes, bring everything back in-house on your own servers. You depend on no one.
Is a private AI more predictable in cost than a per-token API? +
Yes. Consumer APIs bill every request by the token, and the bill grows with adoption and eats into your margins month after month. AI hosted on dedicated infrastructure has a cost known in advance, independent of how much your teams use it.
Ready to take back control of your AI?
Join the companies that have chosen digital sovereignty.
See also
Private AI hosting, GDPR-compliant
discover our sovereign infrastructureGDPR-native cloud outside US jurisdiction
our open-source enterprise software suiteOpen-Source Urbanized Information System
Deploy Mistral / Qwen on-premiseModel, GPU sizing, OpenAI-compatible API