4th/5th Generation Intel Xeon Scalable series - AMD EPYC 8004 series - AMD EPYC 9004 series - AMD Ryzen Threadripper PRO series - Ampere Altra series - Intel Xeon W series - Intel Xeon W-3000 series - NVMe native - Windows Server 2022 compatible - 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.
Servers using WS2K22, or Windows Server 2022, are frequently deployed in enterprise data centers and hybrid cloud environments, catering to use-cases like server virtualization, secure data storage, and advanced networking. The platform offers key benefits such as enhanced security features, improved scalability, and compatibility with modern cloud-native applications.
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.
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.
AMD Ryzen Threadripper PRO processors are specifically designed for workstation and high-performance computing environments, offering an unparalleled number of cores and threads. With features like ECC memory support and advanced security, these processors are ideal for compute-intensive tasks such as 3D rendering, video editing, and complex simulations, providing a robust and reliable computing solution.
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.
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 AMD EPYC 8004 series processors are engineered to meet the demands of high-performance computing environments, offering exceptional multi-threaded performance for data analytics, virtualization, and cloud computing. These processors provide an efficient and cost-effective solution for enterprise-level tasks, featuring high throughput and advanced security features, thereby optimizing both performance and TCO (Total Cost of Ownership).
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 A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 926.23 € -
GPU optimized SYS-221H-TN24R
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 747.59 € -
MP SuperServer SYS-681E-TR
In-Memory Database Application
Virtualization, ERP, CRM
Research lab/National Lab
Scale-up HPC81 193.37 € -
GPU optimized SYS-621H-TN12R
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 860.23 € -
Hyper SuperServer SYS-621H-TN12R
Software Defined Storage
Virtualization
Enterprise Server
Cloud Computing
AI Inference and Machine Learning5 301.08 € -
GPU optimized SYS-121H-TNR
AI Inference and Machine Learning
Enterprise Server
Virtualization
Software Defined Storage
Cloud Computing7 863.13 € -
Hyper SuperServer SYS-221H-TN24R
Enterprise Server
Virtualization
Software Defined Storage
Cloud Computing
AI Inference and Machine Learning6 037.01 € -
IoT SuperServer SYS-221HE-TNRD
5G Core and Edge
Telecom Micro Data Center
AI Inference and Machine Learning
Network Function Virtualization
Cloud Computing5 422.05 € -
Hyper A+ Server AS-2125HS-TNR
Enterprise Server
Virtualization
Software-defined Storage
Cloud Computing
AI Inference and Machine Learning7 407.28 € -
BigTwin SuperServer SYS-221BT-HNR - 4 nodes
All-Flash NVMe Hyperconverged Infrastructure
Application Accelerator
Container-as-a-Service
High-Performance File System
Diskless HPC Clusters15 139.50 € -
IoT SuperServer SYS-211E-FRN2T
5G Core and Edge
Network Function Virtualization
AI Inference and Machine Learning
Cloud Computing3 052.61 € -
IoT A+ Server AS-1115S-FDWTRT
5G / Telco / NEBS environment
vRAN / o-RAN
Edge/Cloud Computing Services
CDN / vCDN / Cloud CDN
Virtualization
Firewall Applications2 815.22 € -
IoT Server SYS-211SE-31A - 3 nodes
Multi-Access Edge Computing (MEC)
Flex-RAN, Open-RAN vBBU
Telecom DRAN, CRAN, and Edge Core Application
Enterprise Edge Computing7 717.39 € -
WIO A+ Server AS-1115SV-WTNRT
Virtualization
Data Center Optimized
Firewall Applications
Database / Storage
Edge / Cloud Computing Services2 986.92 € -
GPU SuperServer SYS-421GE-TNRT
Animation and Modeling
Cloud Gaming
Design & Visualization
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root20 123.92 €
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.