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HETZNER AI

AI-Powered Hetzner Integration

Hetzner AI integration delivers extreme price-to-performance for European AI engineering teams. We architect dedicated root servers and cloud instances in Nuremberg, Falkenstein, and Helsinki running optimized open-weight LLMs, vector search, and background workflow pipelines with NVMe storage, 20TB+ monthly traffic, and strict GDPR data protection at a fraction of hyperscaler costs.

Cut your AI inference and worker costs by 60โ€“80%. High-performance European compute, dedicated NVMe, and pure GDPR compliance.

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Hetzner AI Features

What AI adds to Hetzner

Dedicated & Cloud Compute ROI

Run high-throughput batch extraction and agent workers on high-core AMD EPYC / Ampere ARM servers at unmatched price-to-performance.

Private Cloud Networks (vSwitch)

Connect your cloud VMs and bare-metal nodes over encrypted private VLAN networks without public exposure.

Strict GDPR & German Data Centers

All infrastructure is owned and operated in Germany (Nuremberg, Falkenstein) and Finland (Helsinki) under strict EU data protection.

High-Speed NVMe Vector Stores

Host self-managed Qdrant, PostgreSQL/pgvector, or Milvus with ultra-fast local NVMe arrays for sub-10ms retrieval latency.

Use Cases

What you can do with Hetzner + AI

Ai agents, Workflow automation, Document processing, and more. All powered by AI, integrated directly with Hetzner.

Frequently Asked Questions

Why choose Hetzner over AWS or Azure for AI workloads?

Compute and bandwidth costs on Hetzner are typically 60โ€“80% lower than US hyperscalers. For predictable worker pools, vector databases, and self-hosted models, it provides massive cost savings with full European data sovereignty.

Can we run self-hosted open-source LLMs on Hetzner?

Yes. We deploy containerized vLLM and Ollama engines on Hetzner compute instances and GPU servers, giving your team private LLM capabilities with zero per-token API fees.

Ready to add AI to your Hetzner?

15-minute call. We'll show you exactly how AI integrates with Hetzner.

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