3rd Generation Intel Xeon Scalable series - AMD EPYC 3000 series - Dual CPU - Intel Atom C series - Intel Xeon 6 series - Intel Xeon D series - NVIDIA Grace Hopper 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.
Dual CPU servers offer enhanced performance and are ideal for mid to large-sized enterprises running compute-intensive applications or virtualized environments. With two processors, these servers provide higher throughput and are commonly deployed in data centers for machine learning, complex simulations, and high-traffic web services, maximizing operational efficiency and scalability.
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 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.
Intel Atom C processors are designed for low-power, high-density microservers and are often deployed in data centers for lightweight, cloud-based applications and networking tasks. The processors offer a cost-effective and energy-efficient solution, making them ideal for companies looking to maximize performance per watt for tasks like web hosting, content delivery, and cold storage.
The 3rd Gen Intel Xeon Scalable processors are widely used in data centers, cloud computing environments, and high-performance computing setups, offering optimized throughput and improved latency for various workloads. With features like Intel DL Boost for AI acceleration and built-in security measures, these processors provide a balanced combination of performance, energy efficiency, and advanced capabilities for enterprise applications.
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.
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 Intel Xeon 6 processors technology gives you a single platform with processor options focusing on high performance for AI and compute intense workloads, exceptional efficiency, or cloud scalability.
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FatTwin SuperServer SYS-F610P2-RTN - 8 nodes
HPC and Big Data
Scale-Out Storage
Hyperscale / Hyperconverged
Data Center Enterprise Applications
Telco Data Center and ETSI certified
Virtualization Server26 629.36 € -
TwinPro Server SYS-620TP-HC9TR - 4 nodes
High Performance Computing
Big Data / Big Science
Hyper-Converged Infrastructure13 770.47 € -
SuperServer SYS-620P-TRT
Compute Intensive Applications
Application and data serving
Model analysis
Data Center Optimized
Enterprise Server
Virtualization3 338.90 € -
vSAN ESA ReadyNode SYS-220BT-DNTR - 2 nodes
vSAN ESA ReadyNode
Supports AF-2, AF-4, AF-6 and AF-8 profiles
Scale Out All-Flash NVMe Storage
High-Performance File System
High-Density NVMe Storage Array16 820.24 € -
Storage SuperServer SSG-640P-E1CR24H
Corporate Database
HPC, Data Center
iSCSI SAN
Database Processing & Storage
Appliance Optimized Storage Building Blocks
Enterprise Server5 096.86 € -
GPU SuperServer SYS-120GQ-TNRT
Scientific Virtualization
Rendering
Big Data Analytics
Business Intelligence
High-performance Computing
Research Lab, Astrophysics15 456.85 € -
TwinPro Server SYS-220TP-HC8TR - 4 nodes
Big Data / Big Science
High Performance Computing
Hyper-Converged Infrastructure12 600.67 € -
SuperServer SYS-220P-C9RT
Application-Optimized Solutions
Data Center Optimized
Enterprise Server
High Performance Computing
Database Processing & High Density Storage4 183.35 € -
Twin SuperServer SYS-120TP-DTTR - 2 nodes
High Performance Computing
Hyper-Converged Infrastructure
Big Data / Big Science6 273.49 € -
Twin SuperServer SYS-220TP-HTTR - 4 nodes
Hyper-Converged Infrastructure
High Performance Computing
Big Data / Big Science
Oil immersion, Liquid Cooling11 854.16 € -
Storage Server SSG-610P-ACR12N4H
Database Applications
Hyperscale Data Center
Object Storage
Big Data Analytics
Scale-out Density
Ceph & Hadoop storage solution
Scale-out NAS4 960.51 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation44 644.33 € -
CloudDC SuperServ SYS-610C-TR
Edge Nodes
Content Delivery Network (CDN)
Data Center Optimized
Value IaaS
Cloud Computing
Compact Server
Web, DNS & Gateway Servers, Firewall Application3 399.87 € -
vSAN ReadyNode AF-4: 2U, 4x 19.2TB per node - 4 nodes
vSAN ReadyNode AF-4
High-Performance File System
Big Data Analytics and AI
Hyperconverged Infrastructure67 943.06 € -
Storage SuperServer SSG-640SP-E1CR60
Big Data & Analytics, Data Lake
HPC and AI/ML Workloads
Telco & Cloud Service Providers
Financial Services & Healthcare Image Archives
Content Repositories
Government Data Protection13 646.34 €
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.