Our GPU servers rely on powerful NVIDIA® GPUs with Blackwell architecture and combine them with state-of-the-art processors for maximum computing power. They are specially designed for demanding workloads—from training complex AI models to computer vision, simulations, and industrial 24/7 applications. With customized configurations, our systems deliver exactly the performance your projects require. Thanks to robust, durable industrial components, our GPU servers not only offer maximum performance, but also maximum reliability in continuous use.
Our servers with NVIDIA® GPUs offer the best solution for every application: from compact entry-level systems to powerful mid-range servers and high-end systems for maximum computing power. All models are based on robust industrial components, support 24/7 operation, and can be flexibly expanded so that you get exactly the performance your application requires.
Compact Compute
Configurable from low power to maximum GPU density for processing-intensive applications with limited space.
Versatile Platform
Flexible 4U platform with GPU integration based on an industrial-grade workstation architecture.
Scalable Performance Platform
Server-based 4U platform with high performance ceiling and expanded I/O options for GPU scaling.
Adding Eurotech stack (HW & SW integration), our GPU Server platforms become ready to use building blocks for visual inspection systems – integrating industrial data, running AI at the edge, and securely managing deployments at scale.
ReliaCOR 55-20 — based on Mayflower®-ID-AM5
ReliaCOR 61-11 — based on Mayflower®-II-SP5
In addition to our new GPU servers, we also offer powerful Generative AI servers that are specially optimized for applications such as intelligent chatbots, knowledge-based copilots, and visual agents. As these systems are also based on NVIDIA® GPUs, they ideally complement our portfolio and cover particularly demanding AI workloads.
For more details on architecture, performance, and areas of application, please visit our landing page for Generative AI Servers.
With increasing demands on resolution, frame rates, and AI evaluation, existing image processing and inspection systems quickly reach their limits. Modern machine vision hardware offers the computing power required for new cameras and complex algorithms to operate reliably. This ensures maximum precision in quality control and production.
For more information about our solutions, visit our Machine Vision Hardware landing page.
For applications in industrial image processing, video analysis, or the creation of digital twins, GPU servers form a powerful basis for fast, parallel data processing. They enable large amounts of image and video data to be analyzed efficiently and processed in real time. Depending on the application scenario, additional specialized systems and platforms are also available that are optimally tailored to different computer vision requirements.
For more information about our solutions, visit our Computer Vision landing page.
For 3D simulations, computational fluid dynamics (CFD), or Hardware-in-the-Loop (HiL) simulations, GPU servers provide a powerful computing platform for calculating complex models significantly faster and rendering them realistically. HiL applications in particular benefit from high GPU performance, as simulations and tests must be performed under real-time conditions. In addition to GPU servers, we offer other specialized systems and solutions that are specifically designed for HiL and automotive scenarios.
Configure your GPU server exactly according to your requirements! Get personalized advice from our experts.
What is a GPU server and what is it used for?
A GPU server is a powerful server that integrates high-performance graphics processors (GPUs) in addition to traditional CPUs. These servers are specifically designed for computationally intensive applications where parallel data processing is crucial. Typical areas of application include artificial intelligence (AI), deep learning, simulations, image and video processing, and industrial automation. By combining CPU and GPU, our systems deliver maximum computing power and significantly accelerate complex calculations compared to conventional servers.
What makes NVIDIA® Blackwell GPUs stand out, and why are they particularly well suited for GPU servers?
NVIDIA® Blackwell GPUs are the latest generation of professional high-performance graphics processors, specifically designed to take GPU servers for AI, deep learning, and data processing to a new level of performance. The Blackwell architecture offers significantly more computing power for training and inference tasks, optimized tensor cores for AI calculations, and greater energy efficiency in continuous operation.
For GPU servers this means maximum performance for computationally intensive workloads, shorter AI training times, high scalability, and reliable efficiency in 24/7 operation—ideal for modern industrial and research applications.
How can the different specifications for the AI performance of a GPU server be understood (TOPs, TFLOPs, and CUDA cores)?
GPU servers use different metrics to describe AI performance. TOPs provide information about performance in AI-specific operations such as inference, TFLOPs describe the theoretical computing power for floating point calculations, and CUDA cores represent the parallel processing capacity of a GPU. However, none of these metrics alone tells the whole story about actual AI performance, as architecture, memory bandwidth, and the specific workload play a decisive role.
You can find a detailed explanation of the most important performance indicators in our wiki article “TOPS vs. TFLOPS vs. CUDA Cores: Leistungskennzahlen einfach erklärt” (German).
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