AI Infrastructure Suite: Sovereign AI on Dedicated Hetzner GPUs
The AI Infrastructure Suite provides private, sovereign AI infrastructure on dedicated GPUs in European data centers (Germany and Finland). Run 70B parameter models on dedicated GPU hardware at a fraction of cloud GPU pricing — with fixed monthly pricing, GDPR-compliant data residency, and a fully managed stack (Kubernetes, GPU drivers, vLLM). Two tiers from $1,000 to $4,000/mo based on your AI workload complexity.
Why Should You Run AI on Dedicated Hardware?
- Fixed Monthly Cost: Stop paying per token. Rent the hardware, own the margins.
- EU Data Sovereignty: Your data stays in Hetzner’s ISO 27001 certified datacenters in the EU.
- Managed Stack: We handle the Kubernetes, Drivers, and vLLM. You just call the API.
Which AI Product Fits Your Needs?
AI Inference
For AI Agencies & SaaS
Production-grade model serving for 7B–13B class models on dedicated GPU servers.
- N+1 high availability
- Prometheus metrics
- vLLM inference server
- K8s GPU scheduling
AI Full Stack
For AI Startups, Enterprises & GDPR
Complete AI infrastructure — inference, RAG, fine-tuning, and multi-model serving — on dedicated GPUs with 96 GB VRAM.
- Train-by-Night, Serve-by-Day
- LoRA fine-tuning pipeline (up to 120B)
- RAG (Qdrant) included
- 70B+ model serving (96 GB VRAM)
- Multi-model management
- Add-on GPU nodes available
How Do the AI Products Compare?
| Service | Setup Fee | Monthly | Best For |
|---|---|---|---|
| AI Inference | $3,000 | $1,000 | AI Agencies & SaaS with AI features |
| AI Full Stack | $2,000 | $4,000 | AI startups, enterprises & GDPR-sensitive companies |
What Are the Service Boundaries?
We manage the GPU infrastructure (Hardware, Drivers, K8s). You manage the model (Weights, Prompts, App Logic).
Have questions about our AI Infrastructure Suite?
Can I run Llama 3, Mistral, or Gemma?
Yes. Our stack is optimized for all models supported by vLLM, including Llama 3, Mistral, Gemma, Qwen, and custom fine-tuned models.
What about data privacy and GDPR?
We sign a DPA. Your data stays on your dedicated servers in European datacenters (Germany and Finland). We do not use your data to train models. Full GDPR compliance by default.
Is it OpenAI API compatible?
Yes. You can swap your OpenAI base URL and API key, and your app will work without code changes. We serve an OpenAI-compatible REST API.
How does pricing compare to AWS SageMaker?
Our dedicated GPU hardware costs a fraction of equivalent cloud GPU instance pricing. A single GEX44 GPU server costs ~$400/mo vs $2,000+/mo on AWS for equivalent compute.
Can I fine-tune models on your infrastructure?
Yes, with the AI Full Stack tier. We provide LoRA fine-tuning pipelines and “Train-by-Night, Serve-by-Day” GPU scheduling to maximize utilization.
Do you offer trials or demos?
We offer paid pilots. Since we provision physical hardware, we cannot offer free tiers. Pilots start at $1,000 for 30 days.
What GPU hardware do you use?
Hetzner GEX44 (RTX 4000 Ada) for inference and GEX131 (RTX PRO 6000 Blackwell, 96 GB VRAM) for training and large models. All dedicated — no shared tenancy.
Can I scale to multiple GPU nodes?
Yes. Both tiers support add-on GPU nodes. AI Inference: +$400/mo per GEX44 node. AI Full Stack: +$1,000/mo per GEX131 node.
What monitoring do I get?
Full Prometheus + Grafana dashboards with DCGM GPU metrics, vLLM throughput tracking, and Loki logging. You see token/s, queue depth, and GPU utilization in real time.
What is the difference between the two tiers?
AI Inference is for serving 7B-13B models on GEX44 hardware. AI Full Stack adds RAG, fine-tuning pipelines, multi-model management, and 96 GB VRAM GPUs for 70B+ models. Need more capacity? Add GPU nodes to either tier.
Where are the GPU servers located?
All GPU infrastructure runs on dedicated Hetzner servers in European datacenters (Germany and Finland). GPU servers are not available in US regions. This ensures full EU data sovereignty and compliance with the EU AI Act. For applications requiring US-based inference endpoints, we can architect hybrid solutions with EU-hosted models and edge caching.
Curious about your potential savings?
Most teams save 40–60% on cloud compute. Use our free calculator to see exactly how much you could save.
discovery Zoom. We'll review your current cloud spend, identify what's safe to move, and give you an honest Go / No-Go recommendation — no commitment, no sales pitch. If the numbers work, we'll show you how. If they don't, we'll tell you that too.
Interested? Contact us.
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