3rd Generation Intel Xeon Scalable series - AMD Ryzen 7000 series - Ampere Altra series - GPU systems - Intel Atom C series - Intel Xeon D series - NVIDIA Grace series - Rackmount servers
Discover our extensive selection of rack servers, ranging from 1U up to 10U, each designed to deliver the highest levels of performance, flexibility, scalability, and serviceability in datacenters. Our rackmount servers are engineered to handle a variety of workloads and applications, making them the backbone of modern enterprise and data center operations.
Key Advantages:
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Versatile Performance: From 1U to 10U configurations, our servers are built to provide powerful and efficient performance for everything from basic applications to intensive computing tasks.
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Flexible and Scalable: Easily configurable to meet the growing and changing demands of your business, our rack servers can scale to support increased workloads and expanded storage needs.
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Wide Application Range: Ideal for a multitude of Enterprise and Data Center applications, including Virtualization, Big Data, Analytics, and Cloud Computing, ensuring that your infrastructure is future-proof.
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Common Platform: As the most commonly used servers, rackmount units offer unlimited setup variations to perfectly align with your specific requirements.
With our rack servers, you can ensure your operations run smoothly and efficiently, meeting the demands of today while preparing for the challenges of tomorrow. Explore our selection and find the perfect solution to drive your enterprise forward.
GPU systems are specialized hardware solutions with latest NVidia GPU's, AMD GPUs and all the rest on the market. These Integrated GPU servers are designed for accelerated computing tasks such as machine learning, data analysis, and graphics rendering. Widely used in industries like automotive design, healthcare, and scientific research, these systems offer unparalleled performance, scalability, and efficiency.
Ampere Altra processors are gaining traction in hyperscale cloud environments and edge computing solutions, thanks to their power-efficient ARM architecture. These processors offer an impressive core density and are optimized for parallel processing tasks, making them ideal for workloads that involve high-throughput computing and containerized applications.
AMD Ryzen 7000 processors are well-suited for both gaming rigs and productivity workstations, offering a balanced mix of performance and energy efficiency. Leveraging advanced architecture and supporting high-speed memory, these processors excel in tasks ranging from content creation to machine learning, providing a competitive edge in multi-threaded applications.
Intel Atom C processors are designed for low-power, high-density microservers and are often deployed in data centers for lightweight, cloud-based applications and networking tasks. The processors offer a cost-effective and energy-efficient solution, making them ideal for companies looking to maximize performance per watt for tasks like web hosting, content delivery, and cold storage.
Intel Xeon D processors are optimized for dense server environments and edge computing, delivering a powerful performance in a low-power, compact footprint. These processors are particularly suited for tasks like network function virtualization, software-defined storage, and other workloads requiring high-throughput and low latency, making them a cost-effective and energy-efficient option for both data centers and edge deployments.
The 3rd Gen Intel Xeon Scalable processors are widely used in data centers, cloud computing environments, and high-performance computing setups, offering optimized throughput and improved latency for various workloads. With features like Intel DL Boost for AI acceleration and built-in security measures, these processors provide a balanced combination of performance, energy efficiency, and advanced capabilities for enterprise applications.
The NVIDIA Grace CPU is the first data center CPU developed by NVIDIA. By combining NVIDIA expertise with Arm processors, on-chip fabrics, system-on-chip (SoC) design, and resilient high-bandwidth low-power memory technologies, the NVIDIA Grace CPU was built from the ground up to create the world’s first superchips for computing. At the heart of the superchip lies the NVLink Chip-2-Chip (C2C) that allows the NVIDIA Grace CPU to communicate at 900 GB/s bidirectional bandwidth with another NVIDIA Grace CPU.
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SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation43 957.46 € -
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GPU SuperServer SYS-420GP-TNAR-LC
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs157 888.27 € -
GPU SuperServer SYS-120GQ-TNRT
Scientific Virtualization
Rendering
Big Data Analytics
Business Intelligence
High-performance Computing
Research Lab, Astrophysics15 251.20 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 416.63 € -
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation121 038.32 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 334.14 € -
GPU SuperServer SYS-210GP-DNR - 2 nodes
High Performance Computing
AI/Deep Learning Training
Media/Video Streaming
Industrial Automation, Retail
Cloud Gaming18 451.14 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs159 006.33 € -
GPU SuperServer SYS-420GP-TNAR
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs154 747.99 € -
GPU SuperServer SYS-420GP-TNAR+
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs155 866.05 € -
GPU System ARS-121L-DHR
High Performance Computing
Hyperscale Cloud Applications
Data Analytics31 933.37 € -
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 more31 887.96 €
What is a Rackmount Server?
- A rackmount server, also known as a rack server, is a computer designed to function as a server and be installed in 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 these racks to maximize efficiency and resource utilization.
How to Choose a Rackmount Server
- When choosing a rackmount server, consider factors such as performance requirements, scalability, and budget. Determine the necessary CPU power, memory, and storage capacity based on your workload. Additionally, evaluate the rack space available and the cooling requirements to ensure optimal server performance.
What Does 1U, 2U, 3U, 4U Mean?
- The terms 1U, 2U, 3U, and 4U refer to the height of the server in rack units (U). Each "U" is equivalent to 1.75 inches. A 1U server is 1.75 inches tall, a 2U server is 3.5 inches tall, and so on. These measurements help in understanding how much space the server will occupy in the rack.