Managed AI Inference: Private GPU Serving at 1/5th Cloud Cost
AI Inference is a managed private AI cloud for running 7B–13B parameter models (Llama 3, Mistral) on dedicated Hetzner GPU servers. Fixed monthly cost starting at €950 — no per-token fees, no data leaving the EU, no shared GPUs. Includes vLLM, Kubernetes scheduling, Prometheus monitoring, and N+1 high availability. For AI agencies and SaaS companies that need production-grade inference without the OpenAI bill.
Why choose dedicated Hetzner GPUs over AWS for AI inference?
Public API (OpenAI)
- Paying per-token fees
- Data leaves the EU
- Surprise monthly bills
- Shared GPU latency
Private Cloud (Us)
- Fixed Monthly Cost
- Data stays in the EU
- Dedicated RTX 4000 GPUs
- No Per-Token Fees
What Does the AI Inference Platform Include?
Hetzner GEX44 servers with RTX 4000 Ada GPUs. No noisy neighbors.
vLLM + Kubernetes + Cilium. Tuned for maximum throughput on Llama 3 & Mistral.
mTLS encryption, Private Networking, and ISO 27001 certified datacenters.
What Are the Boundaries of the Service?
To keep this service affordable and sustainable, we adhere to strict boundaries. We run the platform; you run the code.
Our Responsibility (Infrastructure)
- GPU Infrastructure: We ensure the hardware is running.
- K8s & vLLM: We manage the inference engine.
- Security: We patch the OS and drivers.
- Scenario: ‚API is down‘ -> We fix it.
Your Responsibility (Application)
- Model Selection: You choose the weights.
- Prompts: You write the system prompts.
- Application: You build the frontend/logic.
- Scenario: ‚Model is hallucinating‘ -> You fix it.
How Much Does AI Inference Cost?
Plus €2,850 Setup Fee
- Up to 2 GEX44 Nodes (RTX 4000).
- No Per-Token Fees — flat-rate pricing.
- OpenAI-compatible API.
- 24/7 Automated Monitoring.
- EU Data Sovereignty.
Have questions about our AI Inference service?
Which models can I run?
Any model supported by vLLM (Llama 3, Mistral, Gemma, etc.).
Can I scale up?
Yes. We can add nodes to your cluster in minutes.
What is the latency compared to OpenAI?
Often lower. Since you have dedicated GPUs, you don’t wait in a public queue. First-token-time is consistent.
Do you support LoRA adapters?
Yes. You can load multiple LoRA adapters on top of a base model at runtime.
What happens if the hardware fails?
We keep spare nodes on standby. If a GPU dies, we migrate your workload to a fresh node automatically.
Is it OpenAI compatible?
Yes. Just change your `base_url` and `api_key`.
Do you see my data?
No. Your data is processed on your dedicated hardware. We only monitor infrastructure metrics.
Can I run multiple models on one node?
Yes, if they fit in VRAM. We can partition the GPU or swap models in/out.
How secure is the connection?
We provide a private IP and mTLS certificates. Traffic is encrypted from your app to the inference server.
Can I bring my own container?
Yes. While we recommend our optimized vLLM stack, you can deploy any Docker container.
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.
What other AI infrastructure products do we offer?
AI Full Stack
Infrastructure Audit
Shadow Run / Managed Platform
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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