4th/5th Generation Intel Xeon Scalable series - AMD EPYC 9004 series - Ampere Altra series - Intel Core series - Intel Xeon W series - Intel Xeon W-3000 series - NVIDIA Grace Hopper 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.
The NVIDIA Grace Hopper™ architecture brings together the groundbreaking performance of the NVIDIA Hopper™ GPU with the versatility of the NVIDIA Grace™ CPU in a single superchip, connected with the high-bandwidth, memory-coherent NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect.
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 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.
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 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 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.
Intel Core processors are versatile and well-suited for a broad range of applications, from personal computing to small-scale server environments. Known for their efficient power usage and higher clock speeds, these CPUs are often the go-to choice for users looking for reliable performance, whether it's for everyday tasks, content creation, or entry-level gaming.
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-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization20 543.64 € -
Hyper A+ Server AS-2025HS-TNR
Virtualization
Enterprise Server
Cloud Computing
AI Inference and Machine Learning
Software-defined Storage7 099.94 € -
CloudDC SuperServ SYS-611C-TN4R
Data Center Optimized
Cloud Computing
Compact Server
Value IaaS
DNS & Gateway Serverd
Firewall Application
Web Server
CDN, Edge Nodes3 784.25 € -
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 010.25 € -
BigTwin SuperServer SYS-621BT-HNC8R - 4 nodes
Hyperconverged Infrastructure
Scale-Out File Storage
Container Storage15 117.83 € -
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 € -
Hyper A+ Server AS-1115HS-TNR
Cloud Computing
Virtualization
Enterprise Server
AI Inference and Machine Learning
Software-defined Storage4 980.53 € -
IoT SuperServer SYS-211E-FRDN2T
5G Core and Edge
Network Function Virtualization
AI Inference and Machine Learning
Cloud Computing3 153.96 € -
GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 764.66 € -
Storage SuperServer SSG-221E-NE324R
Software-defined Storage
In-Memory Computing
Data Intensive HPC
Private & Hybrid Cloud
NVMe Over Fabrics Solution9 975.57 € -
BigTwin SuperServer SYS-221BT-HNC9R - 4 nodes
Mission Critical HPC
Virtualized Big Data Analytics
High-Density Storage RAID Array16 503.76 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI75 783.87 € -
MegaDC SuperServer ARS-110M-NR
Enterprise Server
Hyperscale Data Center
Front End Server
Infrastructure3 792.69 € -
GrandTwin SYS-211GT-HNTF - 4 nodes
Multi-Purpose CDN
Mission Critical Web Applications
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)10 220.98 € -
GrandTwin AS-2115GT-HNTR - 4 nodes
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
Multi-Purpose CDN
HPC
Cloud Gaming
EDA (Electric Design Automation)
Mission Critical Web Applications12 119.50 €
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.