GPU servers
Enormous computing power for the most demanding High Performance Computing systems.
Configure GPU servers with NVIDIA latest GPU products, like Nvidia Tesla V100 or Nvidia A100 with GPU-Direct options.
Generating massively parallel processing power and unrivaled networking flexibility, these systems deliver the highest quality with extreme optimization for the most computationally-intensive applications like Artificial Intelligence & Machine Learning, Visual/Media Editing, Financial Simulations, Astrophysics, etc.
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GPU SuperServer SYS-521GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs147 407.39 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation50 639.19 € -
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GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs159 310.13 € -
GPU SuperServer SYS-420GP-TNAR-LC
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs158 217.76 € -
GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)156 433.19 € -
GPU A+ Server AS-4124GO-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)155 340.82 € -
GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs10 601.97 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 746.89 € -
GPU SuperServer SYS-521GE-TNRT
Design & Visualization
Animation and Modeling
Cloud Gaming
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root22 264.94 € -
GPU SuperServer SYS-821GE-TNHR
Conversational AI
Industrial Automation, Retail
AI/Deep Learning Training
High Performance Computing
Drug Discovery
Finance & Economics
Healthcare
Business Intelligence & Analytics
Climate and Weather Modeling286 338.40 € -
GPU SuperServer SYS-421GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs148 589.34 € -
GPU SuperServer SYS-421GE-TNRT3
Design & Visualization
Diagnostic Imaging
3D Rendering
Animation and Modeling
Cloud Gaming
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root19 250.74 € -
GPU SuperServer SYS-421GE-TNRT
Animation and Modeling
Cloud Gaming
Design & Visualization
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root21 184.20 € -
GPU SuperServer SYS-741GE-TNRT
Animation and Modeling
Design & Visualization
Media/Video Streaming
Diagnostic Imaging
AI / Deep Learning Training
High Performance Computing
3D Rendering
VDI6 813.34 €
GPU Servers
Manufacturers design GPUs for fast 3-D processing, accurate floating-point arithmetic, and error-free number crunching. Although they typically operate at slower clock speeds, they have thousands of cores that enable them to execute thousands of individual threads simultaneously. GPU servers, as the name suggests, are servers packed with graphics cards, designed to harness this raw processing power. Using an offloading process, the CPU can hand specific tasks to the GPUs, increasing performance. Running computationally intensive tasks on a CPU can tie up the whole system. Offloading some of this work to a GPU is a great way to free up resources and maintain consistent performance. Interestingly, you can just send the toughest workloads to your GPU while the CPU handles the main sequential processes. Such GPU strategies are critical to delivering better services that cater to end-users, who experience accelerated performance. Many of the Big Data tasks that create business value involve performing the same operations repetitively. The wealth of cores available in GPU server hosting lets you conduct this kind of work by splitting it up between processors to crunch through voluminous data sets at a quicker rate. Also, these GPU-equipped systems use less energy to accomplish the same tasks and place lower demands on the supplies that power them. In specific use cases, a GPU can provide the same data processing ability of 400 servers with CPU only.