Our Services
Sovereign AI Infrastructure
We move you to sovereign infrastructure with fixed monthly costs your CFO can forecast. For those who want their data on the safe side too: running in the LEW Green Data Center in Germany, with full GDPR compliance, zero third-party access, and hardware powered by 100% renewable energy. Your data never leaves EU soil.
The problem
Stop Renting. Start Owning.
Every production request to OpenAI or Anthropic is metered. The more your product grows, the faster the bill climbs — and there's no way to forecast next month's cost until the invoice lands.
Compliance teams ask where the data goes — and the answer is usually US servers with no GDPR guarantees. Every prompt you send through an API crosses borders, passes through third-party infrastructure, and lands in training pipelines you don't control. For regulated industries, that's not a risk — it's a liability.
You're paying for convenience you no longer need — and the longer you wait, the more it costs to switch.
How we fix it
Four steps to predictable AI.
Audit your current setup
We map your models, API usage, costs, and data flows. You get a clear picture of where money is going and what can be optimized.
Design sovereign architecture
We spec the hardware, select the right open-source models, and design a deployment that fits your compliance and performance requirements.
Deploy and migrate
We stand up the infrastructure, migrate your workloads, and validate quality against your existing API outputs. Zero downtime cutover.
Optimize and hand over
Inference tuning, monitoring dashboards, runbooks. Your team owns the stack — we stay on for support as long as you need us.
What you get
Measurable results, not promises.
Success story
"We cut the AI bill by 60% — and the system was live in four weeks."
Under the hood
Open-source tech stack.
No black boxes. Every component is auditable, replaceable, and yours.
vLLM
High-throughput LLM serving with PagedAttention — the backbone of our inference layer.
Inference Engine
Ubuntu
The world's most popular Linux distribution for cloud and server — stable, secure, and enterprise-ready.
Operating System
Kubernetes
Auto-scale GPU workloads across cloud and on-prem clusters with zero downtime.
Container Orchestration
LiteLLM
Unified API proxy for 100+ LLM providers — switch models without changing a single line of code.
LLM GatewayCommon questions about sovereign AI.
What happens if an open-source project we use gets discontinued?
We only select projects backed by major companies — organizations with multi-billion-dollar businesses relying on them. vLLM is driven by the UC Berkeley team and adopted by every major cloud provider. Kubernetes is maintained by Google and the CNCF. These aren't hobby projects — they're critical infrastructure for the world's largest tech companies. And because everything is open source, even in the unlikely case a project sunsets, the code is yours and the community forks carry on.
How green is the Green Data Center — really?
No greenwashing, no bought certificates. The LEW Green Data Center achieves a Power Usage Effectiveness (PUE) of 1.2 — meaning nearly all energy goes directly into compute, not cooling or overhead. It's powered by 100% renewable energy from LEW, a regional energy provider belonging to E.ON. Your AI runs on genuinely clean power.
Where does our data actually live?
In your own rack at the LEW Green Data Center, connected to your company network via a dedicated 100 Gbit/s VPN. Your data never touches shared infrastructure — it stays quasi in-house. Colocation means you get data center-grade security and uptime without building your own facility.
How much does it cost?
An AI server for SMEs starts at around €40,000 with a one-time setup fee of €10,000. On top of that, there's a monthly maintenance and colocation fee if you want us to host it at the LEW Green Data Center. We'll spec the exact configuration to your workload — no over-provisioning, no surprises.
How long does this take?
We deliver step by step within six weeks. Week one: architecture review and hardware specification. Week two–three: procurement, rack setup, and base infrastructure. Week four–five: model deployment, API integration, and performance tuning. Week six: production handover with monitoring and documentation. You have a running system at each milestone — not a big-bang go-live at the end.
Does Open Hippo own the data center?
No — we're a bronze partner of the LEW Green Data Center. LEW is a regional energy provider belonging to E.ON, one of Europe's largest energy companies. We handle the AI infrastructure; they provide the facility, power, and physical security. You get the best of both worlds.
Let's look at your setup.
30 minutes, no pitch deck. We'll map your current AI costs and show you exactly what sovereign infrastructure would look like for your workload.