The Private AI Suite: Transparent Appliance Pricing
The Private AI & Infrastructure Suite is a set of standardized appliances that help companies deploy AI and data engines natively inside their network. From a starting at €495 Privacy & Architecture Audit to fully managed vLLM and Qdrant appliances, each product has transparent pricing and fixed monthly costs. You own the compute; we handle the plumbing.
Why Are Companies Overpaying for Managed SaaS?
Every dollar you pay OpenAI, Datadog, or AWS RDS is a dollar you could keep. We deploy and manage open-source engines on your raw compute — so you get enterprise-grade reliability without the SaaS markup.
Compute Cost Reduction
vs. AWS, Azure, or Heroku for equivalent compute and storage.
Data Privacy & Control
All infrastructure runs in Hetzner’s own datacenters — Germany, Finland, and the USA. Region and server type are selected based on your workload and compliance requirements.
DevOps Hiring Needed
We are your outsourced infrastructure department. You focus on your product.
Where Should You Start?
Not sure if a cloud exit makes sense for you? The Audit is a paid qualification step that gives you a clear, honest answer — before you commit to anything.
- “Safe-to-Move” Matrix — Green (Go) vs. Red (Stay) analysis of every workload.
- Arbitrage Calculation — Exact financial projection of your savings.
- Hybrid Architecture Blueprint — Where data stays, where compute moves.
- Zero Risk — If we can’t save you money, you’ll know before spending a dollar on migration.
Which Infrastructure Product Fits Your Business?
Managed Kubernetes on dedicated Hetzner infrastructure. Pick the product that fits your business model.
For High-Traffic Applications
Your entire DevOps team for less than one junior engineer. Full-stack managed infrastructure.
- Managed DBs (Postgres/Redis)
- Ingress, backups, disaster recovery
- Security hardening & patching
- Single production environment
+ starting at €5,000 setup fee
For Dev Shops & Agencies
Your own private cloud. White-labeled. You charge enterprise rates; we manage the plumbing.
- White-label K8s clusters
- Full stack managed (DBs, Ingress, Backups)
- Managed Platform Engineering included
- 2 clusters included in base
+ starting at €5,000 setup fee
For Data-Heavy Applications
Enterprise-grade data and observability appliances deployed directly into your existing VPC.
- Managed DBs (Postgres/Redis)
- Managed Vector DBs
- Managed Observability
- Zero-egress network isolation
+ starting at €5,000 setup fee
The Private AI Suite
Cap your AI variable costs and protect your IP. Fully managed, private open-source AI infrastructure deployed in your own secure environment. You own the compute — we manage the stack.
For High-Volume SaaS
High-throughput, fully managed AI inference deployed natively inside your network. 100% OpenAI API compatible.
- vLLM inference server
- OpenAI-compatible API
- Zero-egress network isolation
- BYOC (AWS/GCP/Azure/Verda)
+ starting at €3,000 setup
For Small SaaS
A production-ready environment for real-world AI tools, with strict European data sovereignty. Zero infrastructure overhead.
- On-Demand European GPUs
- OpenAI-compatible API
- Absolute data privacy
- Zero infra overhead
+ starting at €495 setup
How Do the Products Compare?
| Service | Setup Fee | Monthly | Best For |
|---|---|---|---|
| Infrastructure Audit | starting at €495 | — | Anyone spending >starting at €5,000/mo on cloud |
| Dedicated Kubernetes Platform | starting at €5,000 | starting at €2,995 | High-traffic SaaS, e-commerce, fintech |
| Private Data & Ops Suite | starting at €5,000 | Starting at €2,500 | Data-heavy SaaS, RAG pipelines |
| Agency Cloud | starting at €5,000 | Starting at €2,995 | Dev shops & agencies reselling to clients |
| AI Inference | starting at €3,000 | starting at €1,500 | AI agencies & SaaS with AI features |
| Serverless AI Starter Kit | starting at €495 | starting at €150 | Small SaaS needing production-ready AI backends |
How Does the Process Work?
Audit
We analyze your cloud spend and identify what’s safe to move and what stays put.
Architect
We design your hybrid or dedicated infrastructure. You approve the blueprint.
Migrate
We build the clusters, set up networking, and migrate workloads with near-zero downtime.
Operate
We manage the platform with 24/7 automated monitoring. You focus on your product and customers.
Have questions about our DevOps products?
How much can I actually save by leaving AWS?
Our clients typically save 50–70% on compute costs by moving stateless workloads to dedicated Hetzner infrastructure. The exact savings depend on your current spend, but any company paying more than starting at €1,200/month on cloud compute is a strong candidate.
What happens to my databases during migration?
It depends on which product fits your needs.
Shadow Run / Dedicated Kubernetes Platform: We migrate your full stack — application and databases — to our managed platform with a 7-day risk-free Shadow Run. We mirror 100% of your incoming HTTP traffic to the clone so you can watch the dashboard handle your peak workload before cutting over.
Dedicated Kubernetes Platform: We migrate your full stack — application and databases — to Hetzner. Managed Postgres or MySQL runs on our infrastructure with automated backups and point-in-time recovery. Near-zero-downtime migration via logical replication. Single environment, fully managed.
The Infrastructure Audit (starting at €495) maps your architecture and recommends the right option.
Do I need to rewrite my application code?
No. Your application connects to the same database endpoints. The WireGuard mesh network handles routing transparently. We have migrated apps from Heroku, AWS ECS, and raw EC2 — typically without application code changes.
What is the difference between the Partner Program and Dedicated Kubernetes Platform?
The Partner Program (Agency Cloud) is for dev shops and agencies that resell infrastructure to their own clients — you apply for partner pricing and get white-label capabilities. Dedicated Kubernetes Platform is for a single company that needs us to run their infrastructure directly. Same technology, different business model and buying process.
Do you offer 24/7 support?
Our automated monitoring and self-healing runs 24/7. For human platform engineering support, we discuss coverage scope and response times during the qualification call, as it depends on your tier and requirements.
What about GDPR and data sovereignty?
All infrastructure runs in Hetzner’s own datacenters — Germany, Finland, and the USA. Region and server type are selected based on your workload and compliance requirements. Your data is subject to German and EU data protection law. For AI workloads, this means your training data and model weights never leave the EU.
Can I run AI models on Hetzner instead of using OpenAI?
Yes. Our AI Infrastructure Suite lets you run 7B to 70B+ parameter models on dedicated Hetzner GPU servers (GEX44 and GEX131). You get fixed monthly costs instead of per-token pricing, full data privacy, and typically 80% lower costs than cloud GPU providers.
What happens if I outgrow my current plan?
Every product scales with add-on pricing. Need more clusters? More GPU nodes? More capacity? We add nodes to your existing infrastructure without downtime. You only pay for what you use.
Where are your servers located?
We run on Hetzner’s own datacenters in Germany (Falkenstein, Nuremberg), Finland (Helsinki), and the USA (Ashburn, VA and Hillsboro, OR). In Germany, we use dedicated bare metal servers for maximum performance. In regions where bare metal is not available, we use dedicated Hetzner servers — same isolation, same cost advantage, same management. GPU infrastructure for AI workloads is available in Germany and Finland only. We recommend the optimal region and server type during your Infrastructure Audit.
Reclaim your proprietary data. Deploy Private AI.
Stop sending your proprietary IP to external APIs and managed SaaS. We deploy high-throughput inference and stateful agents directly onto your own Bare-Metal or VPC infrastructure. Execute AI workloads with zero API taxes, zero hyperscaler lock-in, and absolute control over your data.
discovery Zoom. We’ll review your AI workloads, data flows, and current cloud setup, then give you a clear Go / No-Go recommendation. If private inference, agent runtimes, or managed data services make sense for your architecture, we’ll show you the next step. If not, we’ll tell you directly.
Interested? Contact us.
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