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.
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GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™286 888.41 € -
GPU A+ Server AS-8125GS-TNMR2
High-performance Computing
AI / Deep Learning Training
Industrial Automation, Retail
Climate and Weather Modeling238 825.35 € -
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation144 557.15 € -
GPU System ARS-221GL-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing
General purpose CPU workloads, including analytics, data science, simulation, HPC, application servers, and more33 432.03 € -
GPU SuperServer SYS-821GV-TNR
Industrial Automation
Business Intelligence & Analytics
Climate and Weather Modeling
Biomedical
High Performance Computing
AI/Deep Learning Training
Generative AI
Finance Services and Fraud Detection144 403.33 € -
GPU System ARS-111GL-NHR
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI40 449.38 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing32 294.96 € -
GPU A+ Server AS-4125GS-TNRT1
AI / Deep Learning
High Performance Computing
Single Root
GPU Virtualization14 203.74 € -
GPU SuperServer SYS-751GE-TNRT
High-performance Computing
AI / Deep Learning Training
Nvidia A100 GPUs
Liquide-cooled83 590.62 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization21 030.54 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™280 600.66 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation45 566.04 € -
GPU SuperServer SYS-210GP-DNR - 2 nodes
High Performance Computing
AI/Deep Learning Training
Media/Video Streaming
Industrial Automation, Retail
Cloud Gaming18 911.16 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)72 186.45 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 960.09 €
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.