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.-
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation143 478.18 € -
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 Detection143 325.37 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing32 054.12 € -
GPU SuperServer SYS-751GE-TNRT
High-performance Computing
AI / Deep Learning Training
Nvidia A100 GPUs
Liquide-cooled82 966.64 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization20 873.63 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™278 506.10 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation45 225.93 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)71 647.70 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 818.42 € -
GPU A+ Server AS-2124GQ-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)70 112.35 € -
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SuperWorkstation SYS-7049GP-TRT
GPU Server, Mission-critical app.
Enterprise server, large database
On-line transaction processing
E-business, oil & gas, medical app.4 347.85 € -
GPU SuperServer SYS-4029GP-TRT2
Artificial Intelligence
Big Data Analytics
High-performance Computing
Research Lab/National Lab
Astrophysics
Business Intelligence7 112.77 € -
GPU SuperServer SYS-4029GP-TRT
3D rendering, Astrophysics
Chemistry, Cloud Computing
Virtualization
Compute intensive application6 508.69 €
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.