Dual CPU - GPU servers
Configure your GPU servers with the latest NVIDIA GPU products, such as Nvidia Tesla V100 or Nvidia A100, along with GPU-Direct options.
Our GPU-accelerated servers generate massively parallel processing power and deliver unparalleled networking flexibility. They offer high-quality performance and extreme optimization for computationally-intensive applications such as Artificial Intelligence & Machine Learning, Visual/Media Editing, Financial Simulations, Astrophysics, and more.
Choose from a range of high-performance GPU servers, including rackmount GPU servers, enterprise GPU servers, NVIDIA GPU servers, AMD GPU servers, multi-GPU servers, HPC GPU servers, and AI GPU servers, as well as BLADE SERVERS, to suit your specific requirements.
Dual CPU servers offer enhanced performance and are ideal for mid to large-sized enterprises running compute-intensive applications or virtualized environments. With two processors, these servers provide higher throughput and are commonly deployed in data centers for machine learning, complex simulations, and high-traffic web services, maximizing operational efficiency and scalability.
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GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse19 505.58 € -
SuperWorkstation SYS-740GP-TNRBT
AI / Deep Learning Training
High Performance Computing
Scientific Virtualization
Rendering6 063.15 € -
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GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs86 891.43 € -
GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs9 954.36 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation46 448.07 € -
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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 600.16 € -
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 Root20 904.19 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing32 808.38 € -
GPU SuperServer SYS-751GE-TNRT
High-performance Computing
AI / Deep Learning Training
Nvidia A100 GPUs
Liquide-cooled82 869.59 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization21 435.47 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™299 035.25 € -
GPU SuperServer SYS-521GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs150 105.94 € -
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 Root21 972.01 €
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. For specialized tasks and requirements, consider exploring our TOWER SERVERS to further tailor your server infrastructure.