8 GPU - 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.
Servers capable of housing eight GPUs are primarily designed for mission-critical tasks that demand extraordinary computational power, such as complex financial modeling, 3D rendering, and deep learning. Having eight GPUs ensures unparalleled performance and speed, significantly reducing time-to-insight in data-intensive applications.
-
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 € -
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 € -
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-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 Modeling292 555.20 € -
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 Root18 993.85 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs157 836.46 € -
GPU SuperServer SYS-420GP-TNAR-LC
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs156 757.16 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)149 826.50 € -
GPU SuperServer SYS-4029GP-TRT
3D rendering, Astrophysics
Chemistry, Cloud Computing
Virtualization
Compute intensive application6 712.02 € -
GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)154 098.64 € -
GPU A+ Server AS-4124GO-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)153 019.34 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)150 905.80 € -
GPU SuperServer SYS-420GP-TNAR
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs153 443.63 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs15 255.59 €
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.