4 GPU - NVMe native - 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.
With support for up to four GPUs, these servers are engineered to handle GPU-intensive tasks such as deep learning, 3D rendering, and complex scientific calculations. The added benefit of four GPUs translates into unparalleled parallel processing capabilities, significantly accelerating compute-intensive workloads and improving system efficiency.Servers with native NVMe (Non-Volatile Memory Express) support are designed for the most demanding data-intensive tasks, such as big data analytics, machine learning, and high-frequency trading. Native NVMe offers unparalleled speed and low-latency data access, revolutionizing the data processing capabilities of enterprises and HPC centers.
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GPU SuperServer SYS-521GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs140 039.68 € -
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GPU A+ Server AS-2124GQ-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing72 890.66 € -
GPU SuperServer SYS-120GQ-TNRT
Scientific Virtualization
Rendering
Big Data Analytics
Business Intelligence
High-performance Computing
Research Lab, Astrophysics15 599.97 € -
GPU A+ Server AS-2124GQ-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)69 715.48 € -
A+ Workstation AS-2115HV-TNRT
Deep Learning/AI/Machine Learning Development
Cloud Gaming
Rack Workstation6 536.59 € -
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 more32 994.71 € -
MegaDC SuperServer ARS-210M-NR
High Performance Computing
Immersive Media
Cloud Gaming / AICAN
AI Inference / Training
Dense-VDI
Video-on-Demand4 381.53 € -
GPU SuperServer SYS-421GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs138 667.25 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 196.91 € -
GPU A+ Server AS-2124GQ-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing72 374.39 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)71 242.12 € -
GPU SuperServer SYS-1029GQ-TNRT
High-performance Computing
Big Data Analytics
Business Intelligence
Research Lab, Astrophysics4 522.66 € -
GPU SuperServer SYS-421GU-TNXR-LC
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs141 317.65 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing31 872.70 €
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.