4th/5th Generation Intel Xeon Scalable series - AMD EPYC 7000 series - AMD EPYC 9004 series - Intel Xeon D series - Intel Xeon W series - Intel Xeon W-3000 series - NVIDIA Grace series - NVMe native - 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.
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 AMD EPYC 9004 processor series offers unparalleled performance and efficiency, making it a go-to choice for data centers, enterprise applications, and complex computational workloads. With its scalable architecture and high core-count, this processor type enables faster data processing, lowers operational costs, and delivers robust security features for a wide range of use cases.
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.
The AMD EPYC 7000 series processors are designed for scalable data center and enterprise applications, excelling in tasks like virtualization, high-performance computing, and cloud-based solutions. Leveraging a significant number of cores and an architecture optimized for efficiency, these processors offer high performance, robust security features, and an attractive TCO (Total Cost of Ownership), making them a favored choice for organizations aiming to achieve operational excellence.
The Intel Xeon W-3000 series processors are engineered for workstation applications, offering robust performance and support for advanced computing tasks such as 3D rendering and scientific simulations. With features like ECC memory support and enhanced security protocols, these CPUs are well-suited for professionals in fields like architecture, engineering, and content creation who require high reliability and computational power.
The 4th & 5th Gen Intel Xeon Scalable processors are engineered for advanced analytics, AI workloads, and mission-critical enterprise applications. Providing a robust suite of platform capabilities, including built-in AI acceleration, enhanced security features, and optimal energy efficiency, these processors are an ideal choice for data centers looking to modernize infrastructure and gain a competitive edge.
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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A+ Server AS-2024S-TR-EU
Virtualization
Enterprise Server
Data Center Optimized
Application and data serving
Model analysis
Compute Intensive Applications2 643.70 € -
A+ Server ASG-1014S-ACR12N4H-EU
Database Applications
Hyperscale Data Center
Object Storage
Big Data Analytics
Scale-Out Density
Hadoop & Ceph storage solutions
Scale-out NAS5 283.44 € -
CloudDC A+ Server AS-1015CS-TNR-EU
Web Servers, Firewall Application
Data Center Optimized
Value IaaS
Cloud Computing
Compact Server
Edge Nodes
Content Delivery Network (CDN)
DNS & Gateway Servers4 444.15 € -
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 Detection125 193.89 € -
FatTwin SuperServer SYS-F521E3-RTB
Hyperscale / Hyperconverged
HPC and Big Data
Data Center Enterprise Applications
Telco Data Center11 857.41 € -
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 206.55 € -
IoT SuperServer SYS-221HE-TNR
5G Core and Edge
Telecom Micro Data Center
AI Inference and Machine Learning
Network Function Virtualization
Cloud Computing5 561.67 € -
IoT SuperServer SYS-221HE-TNRD
5G Core and Edge
Telecom Micro Data Center
AI Inference and Machine Learning
Network Function Virtualization
Cloud Computing5 375.76 € -
CloudDC A+ Server AS-1115CS-TNR-EU
Data Center Optimized
Value IaaS
Cloud Computing
Web Servers, Firewall Application
Compact Server
Edge Nodes
Content Delivery Network (CDN)
DNS & Gateway Servers4 533.96 € -
GPU optimized SYS-221H-TN24R
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 672.87 € -
GPU optimized AS-1115HS-TNR
AI Inference and Machine Learning
Cloud Computing
Virtualization
Enterprise Server
Software-defined Storage6 895.97 € -
GPU optimized AS-2015HS-TNR
AI Inference and Machine Learning
Enterprise Server
Virtualization
Cloud Computing
Software-defined Storage8 540.82 € -
GPU optimized AS-2025HS-TNR
AI Inference and Machine Learning
Enterprise Server
Cloud Computing
Virtualization
Software-defined Storage8 393.30 € -
GPU System ARS-121L-DHR
High Performance Computing
Hyperscale Cloud Applications
Data Analytics32 252.40 € -
GPU optimized SYS-221H-TNR
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 749.03 €
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.