4th/5th Generation Intel Xeon Scalable series - AMD EPYC 3000 series - AMD EPYC 8004 series - Ampere Altra series - Intel Core series - Intel Xeon W series - Intel Xeon W-3000 series - NVIDIA Grace Hopper 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 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 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).
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 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.
AMD EPYC 3000 series processors are designed for embedded, networking, and storage applications, offering a balance of performance and power efficiency. These processors excel in use-cases like edge computing, industrial IoT, and specialized server applications, bringing the benefit of high core counts and robust security features to more compact and energy-sensitive environments.
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.
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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BigTwin SuperServer SYS-221BT-HNTR - 4 nodes
All-Flash NVMe Hyperconverged Infrastructure
Container-as-a-Service
High-Performance File System
Application Accelerator
Diskless HPC Clusters14 622.12 € -
FatTwin SuperServer SYS-F511E2-RT - 8 nodes
Hyperscale / Hyperconverged
HPC and Big Data
Telco Data Center
Data Center Enterprise Applications21 140.24 € -
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 Detection126 271.79 € -
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 645.67 € -
BigTwin SuperServer SYS-221BT-HNC8R - 4 nodes
Container-as-a-Service
All-Flash NVMe Hyperconverged Infrastructure
Application Accelerator
Diskless HPC Clusters15 347.91 € -
MegaDC SuperServer ARS-210M-NR
High Performance Computing
Immersive Media
Cloud Gaming / AICAN
AI Inference / Training
Dense-VDI
Video-on-Demand4 492.32 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing31 913.79 € -
GrandTwin SYS-211GT-HNC8R - 4 nodes
Cloud Gaming
High-availability Cache Cluster
Multi-Purpose CDN
HPC
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)
Mission Critical Web Applications11 170.26 € -
BigTwin SuperServer SYS-621BT-DNC8R - 2 nodes
Scale-Out Object Storage
Back-up & Recovery
Hyperconverged Infrastructure8 859.56 € -
MegaDC SuperServer ARS-110M-NR
Enterprise Server
Hyperscale Data Center
Front End Server
Infrastructure3 688.57 € -
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 089.82 € -
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 708.58 € -
BigTwin SuperServer SYS-221BT-DNC8R - 2 nodes
All-Flash Hyperconverged Infrastructure
All-Flash Storage Area Network
All-Flash Object Storage9 229.30 € -
GPU optimized SYS-221H-TNR
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 751.89 € -
MP SuperServer SYS-681E-TR
In-Memory Database Application
Virtualization, ERP, CRM
Research lab/National Lab
Scale-up HPC81 097.95 €
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.