LLM Hosting: Reliable & GDPR-Compliant
Hosting an LLM in-house
Data remains in-house
Neither prompts nor responses leave your infrastructure. Ideal for sensitive business and customer data.
GDPR-compliant & based in the EU
Operations in our own data center or in the NETWAYS Managed Services Cloud in Germany, rather than with a provider outside the EU.
Free choice of model
Open-weight models for control and cost, or frontier models like Claude and ChatGPT for maximum performance—the choice is yours.
Keeping Costs Under Control
Open-weight models cover about 80% of cases at a reasonable cost—and without any unexpected token charges per request.
Complete flexibility
Manage it yourself, use NMS Cloud, or combine both. You can also change the operating location or model at any time.
Get More Value from Your Own Data
Linked to internal knowledge (RAG), the AI provides concrete, reliable answers instead of generic platitudes.
The Problem
AI should be used, but sensitive data must not be stored in third-party clouds. It is precisely this conflict that slows down many projects, often without people realizing it.
Data Leaves the Company
With ChatGPT, Claude, and similar services, prompts and documents end up with providers outside the EU. Data protection often becomes an issue too late in the process.
Dependency & Costs
Pro-token billing and vendor lock-in make costs unpredictable. In addition, you have very little freedom to choose the model or location.
Little Added Value Without Context
A generic AI does not have access to your internal data. Without connecting them to one’s own knowledge, the answers remain superficial.
Here’s How Your LLM Hosting Project Works
Four steps, the same for every NETWAYS solution: from model selection to the stable operation of your AI platform.
Analysis & Concept
We'll assess your use cases, data protection requirements, and existing GPU hardware. And select the right models.
→ You'll get the right model size instead of an overpriced, oversized one.
Setup & Integration
If you want to host your own LLM, you'll need an inference backend like vLLM. We set it up and provide a familiar chat interface using OpenWebUI, either in your own data center or through NETWAYS Managed Services.
→ An OpenAI-compatible API and existing tools can be integrated directly.
Commissioning & Data Integration
The platform is going live. Upon request, we can connect the AI to your internal knowledge via RAG so that it responds based on real company data.
→ Generic AI becomes an assistant that knows your business.
Support & Operations
Upon request, we can handle all aspects of operation, updates, scaling, and GPU monitoring (MyEngineer), or we can train your team.
→ Your AI remains stable and up-to-date without the need for your own team of specialists.
Components of Your LLM Hosting
For each module, you decide how much you manage yourself and where you rely on NETWAYS services.
Select a model
Open-weight models such as Llama, Mistral, or Qwen for control and cost efficiency, or a Frontier model via API for maximum performance.
Result: the right balance between data protection, performance, and cost.
Select a location
In your own data center for maximum control, or in the NETWAYS Managed Services Cloud based in Germany—both are GDPR-compliant and located within the EU.
Result: Full control over data, without having to require customers to use their own hosting.
Surface & Access
OpenWebUI serves as a familiar chat interface, plus an OpenAI-compatible API that your own applications can connect to directly.
Result: a ChatGPT-like experience for employees, entirely in-house.
Connect Your Own Data
Through RAG, the AI accesses knowledge databases, documents, and internal systems—you retain control over these sources.
Result: Answers based on your actual company knowledge.
Here’s what you can achieve with LLM Hosting
Full Control Over Your Data · Predictable Costs · TrueIndependence
Data Sovereignty
Your data remains within our company or within the EU. Use AI without compromising data privacy.
Predictable Costs
Open-weight models running on your own or rented hardware, rather than billing per token. This makes it possible to estimate costs.
Independence
No lock-in: You are free to choose the model, location, and provider, and can switch at any time.
What is your AI solution built with?
We use proven open-source components. You decide which components you’ll manage yourself and where you’ll rely on NETWAYS services.
vLLM
High-performance inference backend for production-grade LLM operations: high throughput, efficient GPU utilization, and an OpenAI-compatible API—all running on your infrastructure.
OpenWebUI
Self-hosted chat interface for LLMs: a familiar, ChatGPT-like tool with RAG and tool integration that runs entirely offline.
n8n
Connects AI to internal systems via RAG and automation, and triggers real-world actions directly from the chat. In-house compliance with data protection regulations.
Grafana
Keep track of your AI platform’s GPU utilization, throughput, and availability to ensure predictable and stable operations.
We’ll integrate what you’re already using with
Your AI platform can be customized and integrated with existing systems. A selection of the components and interfaces we typically work with.
Models & Weights
- Llama
- Mistral
- Qwen
- DeepSeek
- Gemma
Surfaces & Access
- OpenWebUI
- OpenAI-compatible API
- VS Code / Claude Code
- Custom Applications
Operations & Hardware
- NMS Cloud (EU)
- In-house data center
- GPU Server
- Kubernetes / Docker
- nws.netways.de
Inference & Serving
- vLLM
- Ollama
- NMS AI
- Hugging Face
- OpenAI / Anthropic (API)
Own Data (RAG)
- PostgreSQL / pgvector
- Qdrant
- Elastic / OpenSearch
- Nextcloud
- SharePoint
Questions & Answers
Frequently Asked Questions About This Solution
What is LLM Hosting?
LLM hosting means running a language model on your own or rented infrastructure, rather than using a cloud service like ChatGPT directly. NETWAYS is responsible for the setup and operation of the system, based on vLLM and OpenWebUI.
How can I host an LLM myself?
To host the LLM yourself, you'll need GPU hardware, an inference backend like vLLM, and a chat interface like OpenWebUI. NETWAYS handles the selection, setup, and ongoing operation, either in its own data center or in the NETWAYS Web Services Cloud.
Which AI is GDPR-compliant?
AI is considered GDPR-compliant, above all, when the data remains under your control. The surest way to achieve this is to run the model in your own data center or in an EU cloud such as NETWAYS Managed Services. NETWAYS sets up exactly this kind of seamless operation.
Is ChatGPT GDPR-compliant?
When using ChatGPT, Claude, and similar services directly, user input generally leaves the EU. This can be critical, depending on the type of data. Anyone who wants to use Frontier models can do so specifically for non-critical data. Sensitive content is processed in-house by a self-hosted Open Weight model.
What is on-premises AI?
On-premises AI means that the language model runs on your own hardware in your own data center, rather than as a service in a third-party cloud. You retain full control over the data, the model, and operations. NETWAYS uses vLLM and OpenWebUI for this purpose.
How do I use AI in compliance with data protection regulations?
By carefully choosing your operating location and model: Open-Weight models in your own data center or in the NETWAYS Managed Services Cloud in Germany keep your data on-premises. A RAG integration provides your own content, while keeping the sources under your control. Here's how to use AI productively without revealing data.
Do I need expensive models, or are open-weight models sufficient?
What are vLLM and OpenWebUI?
vLLM is a high-performance inference backend that efficiently runs open-source LLMs on your GPU hardware. OpenWebUI is the self-hosted chat interface for this—a familiar tool with RAG and tool integration.
