Whether you need a single-GPU or multi-GPU server, the choice is yours. Our GEX line features high-performance NVIDIA GPUs with CUDA technology and is perfect for all types of AI workloads and machine learning.
Selected AI use-cases
Generative AI
Generative AI creates creative content such as images, text, audio or even code. GPU servers provide the massive parallel computing power required by diffusion or transformer models. A typical example is the hosting of an AI image generator based on stable diffusion, which uses powerful GPUs to generate detailed, realistic images in a matter of seconds.
Natural Language Processing
AI models from the field of NLP are designed to enable computers to understand human language in all its complexity. Artificial intelligence should understand and interpret text and spoken words in a way that is natural and useful.
Specific applications include speech recognition, translation, chatbots and text classification.
Analytics and science
For data analysis and research, GPU servers accelerate computationally intensive workflows such as large statistical calculations, feature engineering and the training of complex machine learning models.Large data sets can be analyzed quickly using neural networks and deep learning algorithms. This enables precise predictions and pattern recognition in research data in the fields of medicine, finance or climate research.
Data Sovereignty
Maximum data privacy for your AI projects
Want to use LLMs (Large Language Models) without sharing sensitive data with third parties? Host Open Weight models such as GLM, Mistral, or Qwen on your own dedicated hardware in the EU. Internal documents, customer data, and source code all remain on your infrastructure.
Our GPU servers are operated in our certified (DIN ISO/IEC 27001) data centers in Germany and Finland. This allows you to maintain full control over your models, data, and costs while laying the foundation for AI deployment that complies with data protection regulations.
We do IT infrastructure, mainly for doctors, lawyers and financial service providers. We have a big focus on data protection. All our customers can only have their data in Germany or Europe, but not with American cloud providers. This is the digital sovereignty that we now hear about all over politics, and this is what we are doing.
Find your perfect GPU server for your work with AI
GEX63 & GEX131 – Maximum power for AI training
To tailor AI models like DeepSeek to your needs, you need to train them. During AI training, an artificial intelligence model is fed large datasets so that it can perform specific tasks. This is an iterative process in which the model is optimized by adjusting its parameters to deliver the best results. The GEX63 and GEX131, equipped with the NVIDIA RTX PRO™ 6000 Blackwell Max-Q GPU, provide the performance needed for such demanding processes. 96 GB of graphics memory and 5th-generation Tensor Cores ensure maximum AI performance with FP4 and DLSS 4. This is particularly helpful for handling image and speech processing, generative models, and time-series analysis.
GEX430 – multi-GPU server for enterprise AI workloads
The GEX430 is equipped with four NVIDIA RTX PRO™ 6000 Blackwell Max-Q GPUs, each with 96 GB of GDDR7 VRAM. This gives you a total of 384 GB of graphics memory for computationally intensive AI workloads.
Whether you want to run large language models, analyze extensive documents, or train AI models with your own data, the four GPUs provide ample computing power and graphics memory for these tasks.
You can also run multiple large language models simultaneously. For example, one model can analyze complex documents while another answers your customers’ inquiries.
For AI inference, the server has enough power to process many requests at the same time. This is particularly useful for customer service chatbots that need to provide quick responses even under heavy load, or for internal AI assistants accessed by multiple team members simultaneously.
GEX45 – Highly efficient AI inference
When you want to use a trained AI model like Llama on your own server, this is called inference. During inference, data is analyzed by the AI model, and predictions or decisions are made based on that analysis. This process is crucial for the practical application of AI systems, as it applies learned knowledge to new, unknown data. The GEX45 is optimized for such scenarios and delivers fast, precise answers with minimal latency. By leveraging the 280 Tensor Cores in the NVIDIA RTX PRO™ 4000 Blackwell SFF Edition GPU, it can accelerate demanding computations and thus significantly increase efficiency. This is important for applications such as real-time image recognition, speech processing, and complex data analysis. In addition, the RTX PRO™ 4000 Blackwell SFF Edition is particularly energy-efficient.
What else you need for your AI tech stack
Object Storage: Storage for your AI models
AX42:
Manage multiple AI agents
CPX12: Host your personal AI agent
Start your AI project now
We'll show you how to host and use AI models on your own GPU server. Here's how to get started on your first AI project.
Frequently asked questions
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Are the GEX servers suitable for AI training?
Whether a server is suitable for AI training depends on the size (number of parameters) of the AI model being used. The GEX63 and GEX131 each have 96 GB of VRAM, providing sufficient performance for training most popular AI models. For particularly large models with high graphics memory requirements, the GEX430—with four GPUs, each featuring 96 GB of VRAM—offers significantly more headroom.
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Do the GEX servers support CUDA technology?
Our GEX servers are equipped with NVIDIA RTX GPUs and therefore support CUDA technology.
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At which locations are the GEX servers available?
The GEX131 is available in our data centers in Falkenstein (FSN1) and Helsinki (HEL1). The GEX45, GEX63, and GEX430 servers are available exclusively in Helsinki (HEL1).
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Can the GEX servers also be configured with multiple GPUs?
With the GEX430, we offer a multi-GPU server equipped with four GPUs. The GEX45, GEX63, and GEX131 servers each have one GPU and cannot be configured with multiple GPUs.
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