4th/5th Generation Intel Xeon Scalable series - AMD EPYC 9004 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.
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 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 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.
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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)10 322.74 € -
GrandTwin SYS-211GT-HNTR - 4 nodes
EDA (Electric Design Automation)
Multi-Purpose CDN
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
Mission Critical Web Applications10 672.00 € -
IoT SuperServer SYS-211E-FRDN2T
5G Core and Edge
Network Function Virtualization
AI Inference and Machine Learning
Cloud Computing3 176.54 € -
IoT SuperServer SYS-211E-FRN2T
5G Core and Edge
Network Function Virtualization
AI Inference and Machine Learning
Cloud Computing3 047.71 € -
Hyper A+ Server AS-2025HS-TNR
Virtualization
Enterprise Server
Cloud Computing
AI Inference and Machine Learning
Software-defined Storage7 097.68 € -
Hyper A+ Server AS-2125HS-TNR
Enterprise Server
Virtualization
Software-defined Storage
Cloud Computing
AI Inference and Machine Learning7 374.59 € -
SuperServer SYS-621P-TR
Application and data serving
Compute Intensive Applications
Enterprise Server
Virtualization3 596.16 € -
SuperServer SYS-621P-TRT
Application and data serving
Enterprise Server
Virtualization
Compute Intensive Applications3 679.58 € -
Hyper A+ Server AS-2015HS-TNR
Software-defined Storage
Enterprise Server
Cloud Computing
Virtualization
AI Inference and Machine Learning5 490.88 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization20 701.29 € -
vSAN ESA ReadyNode AS-1115CS-TNR
vSAN ESA ReadyNode
Supports AF-2, AF-4, AF-6 and AF-8 profiles
High-Performance File System
High-Density NVMe Storage Array9 342.47 € -
vSAN ESA ReadyNode AS-2015CS-TNR
vSAN ESA ReadyNode
Supports AF-2, AF-4, AF-6 and AF-8 profiles
High-Performance File System
High-Density NVMe Storage Array9 788.86 € -
Storage A+ Server ASG-1115S-NE316R
Software-defined Storage
In-Memory Computing
Data Intensive HPC
Private & Hybrid Cloud
NVMe Over Fabrics Solution7 648.14 € -
Storage A+ Server ASG-2115S-NE332R
Software-defined Storage
In-Memory Computing
Data Intensive HPC
Private & Hybrid Cloud
NVMe Over Fabrics Solution10 487.76 € -
Storage SuperServer SSG-221E-NE324R
Software-defined Storage
In-Memory Computing
Data Intensive HPC
Private & Hybrid Cloud
NVMe Over Fabrics Solution10 011.19 €
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.