WZ-IT Logo
AI GPU SERVER

GPU Server for AI

Dedicated GPU power for AI model training and inference. Highest performance from Germany with complete data protection.

GDPR compliant
Location Germany
ISO 27001
View All AI Servers

What are GPU Servers for AI?

GPU servers for AI are specialized high-performance servers equipped with NVIDIA RTX Professional GPUs. Unlike conventional servers, they use the parallel computing architecture of graphics processors to train and execute AI models up to 100x faster. Especially for deep learning, neural networks, and large language models, GPUs are indispensable as they can perform thousands of calculations simultaneously.

Hosted in Germany means full GDPR compliance, low latency, and maximum data sovereignty. Your training data and models never leave German jurisdiction – a critical advantage for companies with sensitive data.

Our GPU servers are offered as a managed service: We handle installation, GPU driver optimization, monitoring, and maintenance, while you focus on your AI projects.

Why GPU instead of CPU for AI?

The decisive performance advantage

Parallel vs. Serial Processing

CPUs are optimized for serial computations and typically have 8-64 cores. GPUs, however, have thousands of cores (e.g., 18,176 CUDA Cores in the RTX 6000 Ada) specifically designed for parallel matrix operations – exactly what deep learning requires.

Tensor Cores for AI Workloads

Modern NVIDIA RTX GPUs feature special Tensor Cores optimized for AI computations. These achieve up to 1457 TFLOPS for FP16 calculations (Mixed Precision Training) – computational power impossible with CPUs.

Training vs. Inference

Training requires GPUs with high VRAM (48GB+) to process large models and batches. Inference (production deployment) is about low latency and high throughput – GPUs excel with response times in the millisecond range.

10-100x faster than CPU

A Llama 70B model that takes 30+ seconds per response on a CPU delivers results in under 2 seconds on an RTX 6000 Ada. For training workloads, the difference can be even more dramatic: hours instead of days.

Our GPU Hardware Solutions

Latest generation NVIDIA RTX Professional GPUs

NVIDIA RTX 4000 SFF Ada

The perfect solution for inference and small to medium-sized models

VRAM

20 GB GDDR6 VRAM

Sufficient for models up to 13B parameters (quantized) or 7B parameters (FP16)

Performance

306.8 TFLOPS (FP16)

Outstanding performance for fast inference in production environments

CUDA Cores

6,144 CUDA Cores

Ada Lovelace architecture with 3rd Gen RT Cores and 4th Gen Tensor Cores

Ideal for:

Ideal for: Chatbots, code assistants, RAG systems, real-time inference

Power consumption: 70W TGP
Memory bandwidth: 360 GB/s
HIGH-END

NVIDIA RTX 6000 Ada

High-end performance for AI model training and large models

VRAM

48 GB GDDR6 VRAM

For models up to 70B parameters (quantized) or 33B parameters (FP16)

Performance

1457.0 TFLOPS (FP16)

Professional computational power for demanding training workloads

CUDA Cores

18,176 CUDA Cores

Flagship Ada Lovelace GPU with maximum parallel processing power

Ideal for:

Ideal for: Fine-tuning, transfer learning, large language models, multi-modal AI

Power consumption: 300W TGP
Memory bandwidth: 960 GB/s

Germany Advantage

All servers are hosted in ISO 27001-certified data centers in Germany. This guarantees GDPR compliance, low latency (<10ms to German cities), and complete data sovereignty. Your AI training data stays in Germany.

Inference Frameworks: Ollama & vLLM

We offer both leading open-source frameworks for LLM inference

Ollama

Ollama

The beginner-friendly solution for local LLM hosting. Ollama makes it extremely easy to deploy models such as Llama, Gemma or Mistral with a single command. Perfect for rapid prototyping and smaller projects.

One-command installation and model management
Supports 50+ open-source models
REST API compatible with OpenAI

Ideal for:

Prototyping, small to medium workloads, simple setup, developer-friendly

HIGH PERFORMANCE
vLLM

vLLM

The high-performance solution for productive inference workloads. vLLM uses PagedAttention and continuous batching for up to 24 times higher throughput than Ollama. Ideal for applications with high traffic and strict latency requirements.

24x higher throughput through PagedAttention
Continuous batching for maximum GPU utilization
Optimized for production workloads with high load

Ideal for:

Production-ready apps, high-traffic systems, API services, maximum performance

Which framework when?

Ollama is ideal for development, prototyping and smaller deployments (up to approx. 50 requests/min). vLLM is the choice for productive high-performance scenarios with hundreds of simultaneous requests. We can run both frameworks in parallel on one server or recommend the right one depending on your use case.

GPU Model Comparison

GPU ModelVRAMTFLOPS (FP16)CUDA CoresPrimary Use CaseFrom Price/Month
RTX 4000 SFF Ada20 GB306.86.144Inference, models up to 13B499€
RTX 6000 Ada48 GB1457.018.176Training, models up to 70B1.399€

Transparent Pricing & Managed Service

All prices are monthly, with no hidden costs

GPU Server Basic

RTX 4000 SFF Ada for inference workloads

€499.90/month
Monthly cancellable
PROFESSIONAL

GPU Server Pro

RTX 6000 Ada for training & large models

€1,399.90/month
Monthly cancellable

Included in managed service

Hardware (GPU Server)
Data center, power & network
24/7 monitoring
Security updates & maintenance
GDPR-compliant hosting in Germany
Root access and full control
Server setup & GPU drivers (optional)
Ollama & vLLM setup (optional)
AI frameworks installation (optional)

No setup fees

Scaling possible at any time

ISO 27001 certified

Server location Germany

Practical Use Cases

How our customers use GPU servers

Agencies: LLM Hosting for Client Projects

A digital agency hosts Llama 70B and Gemma 27B for multiple enterprise clients. The models are used for customer-specific chatbots and content generation. Result: 90% cost savings compared to OpenAI API with full data control. Response time under 2 seconds.

Research: Model Training & Experiments

A research institute uses RTX 6000 Ada for fine-tuning Llama models on German medical datasets. Training that would take weeks on CPUs is completed in 2-3 days. GDPR compliance is guaranteed for sensitive health data.

Mid-Market: AI-powered Applications

A mid-sized software company integrates a RAG system (Retrieval-Augmented Generation) into their ERP software. With DeepSeek R1 on RTX 4000 Ada, customer inquiries are intelligently answered – fully on-premise and GDPR-compliant. ROI achieved after 4 months.

Startups: MVP Development

An AI startup develops a code review assistant. The prototype runs on GPU Server Basic with Gemma 27B. Cost: €499/month instead of €5,000+ with cloud providers. After product-market fit, upgrade to Pro model for multi-model deployment.

ROI Considerations

At an average of 1 million tokens per day, OpenAI GPT-4 costs approximately €15,000/month. With your own GPU server: €1,399/month + one-time implementation. Break-even after 2-3 months, then pure cost savings with full data control.

Frequently Asked Questions

Start Your AI Project on Your Own Hardware

Free consultation and technical feasibility analysis

Server setup in 24-48h
First models pre-installed
Monthly cancellable

Industry-leading companies rely on us

  • Keymate
  • SolidProof
  • Rekorder
  • Führerscheinmacher
  • ARGE
  • NextGym
  • Paritel
  • EVADXB
  • Boese VA
  • Maho Management
  • Aphy
  • Negosh
  • Millenium
  • Yonju
  • Annota
  • BTI
  • Mr. Clipart

What do our customers say?

Sonja Aßer

Sonja Aßer

Data Manager, ARGE

ARGE
"With Timo and Robin, you're not only on the safe side technically - you also get the best human support! Whether it's quick help in everyday life or complex IT solutions: the guys from WZ-IT think along with you, act quickly and speak a language you understand. The collaboration is uncomplicated, reliable and always on an equal footing. That makes IT fun - and above all: it works! Big thank you to the team! (translated) "
"

Timo and Robin from WZ-IT set up a RocketChat server for us - and I couldn't be more satisfied! From the initial consultation to the final implementation, everything was absolutely professional, efficient, and to my complete satisfaction. I particularly appreciate the clear communication, transparent pricing, and the comprehensive expertise that both bring to the table. Even after the setup, they take care of the maintenance, which frees up my time enormously and allows me to focus on other important areas of my business - with the good feeling that our IT is in the best hands. I can recommend WZ-IT without reservation and look forward to continuing our collaboration! (translated)

S
Sebastian Maier
CEO Yonju GmbH
Yonju
"

We have had very good experiences with Mr. Wevelsiep and WZ-IT. The consultation was professional, clearly understandable, and at fair prices. The team not only implemented our requirements but also thought along and proactively. Instead of just processing individual tasks, they provided us with well-founded explanations that strengthened our own understanding. WZ-IT took a lot of pressure off us with their structured approach - that was exactly what we needed and is the reason why we keep coming back. (translated)

M
Matthias Zimmermann
CEO Annota GmbH
Annota
"

WZ-IT set up our Jitsi Meet Server anew - professional, fast, and reliable. (translated)

M
Mails Nielsen
CEO SolidProof (FutureVisions Deutschland UG)
SolidProof
5.0 • Google Reviews

Over 50+ satisfied customers already trust our IT solutions

Let's Talk About Your Project

Whether a specific IT challenge or just an idea – we look forward to the exchange. In a brief conversation, we'll evaluate together if and how your project fits with WZ-IT.

Trusted by leading companies

NextGymParitelEVADXBRekorderARGEKeymateAphyNegosh
E-Mail
[email protected]

To submit the form, we need your consent to display the Captcha.

By clicking the button, you accept our privacy policy and the Cookie Policy of Cloudflare.