8 GPU - Rackmount servers
The widest selection of rack servers from 1U up to 10U, designed for the highest performance, flexibility, scalability, and serviceability in datacenters.
Rackmount servers, including TOWER SERVERS, are the perfect fit for diverse workloads and applications. They are the most commonly used servers due to their unlimited setup variations and are easily configurable for multiple Enterprise and Data Center applications such as Virtualization, Big Data, Analytics, and Cloud Computing.
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 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 Detection142 686.44 € -
GPU SuperServer SYS-4029GP-TRT
3D rendering, Astrophysics
Chemistry, Cloud Computing
Virtualization
Compute intensive application6 500.48 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™277 264.65 € -
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 500.76 € -
GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs9 364.52 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs158 902.70 € -
GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)155 194.53 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 159.07 € -
GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™283 477.64 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 758.12 € -
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation142 838.42 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 141.52 € -
MP SuperServer SYS-681E-TR
In-Memory Database Application
Virtualization, ERP, CRM
Research lab/National Lab
Scale-up HPC80 845.33 € -
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 Modeling270 089.20 € -
GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 961.10 €
Rackmount Servers
A rackmount server, also called a rack server, is a computer dedicated to use as a server and designed to be installed in a framework called a rack. The rack contains multiple mounting slots called bays, each designed to hold a hardware unit secured in place with screws. MULTINODE SERVERS are often deployed in such racks to maximize efficiency and resource utilization.
Both rack servers and blade servers are network servers. The biggest difference is the installation method. A rack server is a standalone device installed in the cabinet, while several blade servers need to work with each other in one chassis. The main benefit of the rackmount server is cooling. Cooling a rack server is easier than most others. They are usually equipped with internal fans, and placing them in a rack increases airflow. Rack servers are also ideal for scenarios where you need more than one server (but less than about 10) because they don't require a massive chassis.