4th/5th Generation Intel Xeon Scalable series - AMD EPYC 3000 series - AMD EPYC 9004 series - AMD Ryzen 7000 series - Intel Atom C series - Intel Core 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:
-
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.
-
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.
-
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.
-
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.
AMD Ryzen 7000 processors are well-suited for both gaming rigs and productivity workstations, offering a balanced mix of performance and energy efficiency. Leveraging advanced architecture and supporting high-speed memory, these processors excel in tasks ranging from content creation to machine learning, providing a competitive edge in multi-threaded applications.
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 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.
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 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.
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.
![Loading...](https://www.serversimply.com/static/version1723188547/frontend/Ambientia/Serversimply/en_US/images/loader-1.gif)
-
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 € -
GPU SuperServer SYS-521GE-TNRT
Design & Visualization
Animation and Modeling
Cloud Gaming
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root20 857.33 € -
MicroCloud SYS-5039MA8-H12RFT - 12 nodes
Cloud Computing
Web Cache, Web Hosting, VM
Social Networking, DNS
Corporate-WINS, Print, Login10 333.45 € -
Hyper SuperServer SYS-221H-TNR
Virtualization
Enterprise Server
Software Defined Storage
Cloud Computing
AI Inference and Machine Learning5 260.19 € -
IoT SuperServer SYS-221HE-FTNR
5G Core and Edge
Cloud Computing
Telecom Micro Data Center
Network Function Virtualization
AI Inference and Machine Learning5 176.62 € -
GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™261 502.33 € -
vSAN ESA ReadyNode SYS-111C-NR
vSAN ESA ReadyNode
Supports AF-2, AF-4, AF-6 and AF-8 profiles
Storage Headnode9 369.18 € -
GPU SuperServer SYS-421GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs127 389.38 € -
IoT SuperServer SYS-221HE-TNRD
5G Core and Edge
Telecom Micro Data Center
AI Inference and Machine Learning
Network Function Virtualization
Cloud Computing5 322.62 € -
Hyper SuperServer SYS-121H-TNR
Virtualization
Software Defined Storage
Cloud Computing
AI Inference and Machine Learning
Enterprise Server4 751.53 € -
UP SuperServer SYS-521E-WR
Data Center Optimized
Database/Storage
Network Appliance
Entry GPU server3 025.57 € -
vSAN ESA ReadyNode SYS-221BT-DNTR - 2 nodes
vSAN ESA ReadyNode
Supports AF-2, AF-4, AF-6 and AF-8 profiles
High-Performance File System
Scale Out All-Flash NVMe Storage19 926.65 € -
CloudDC SuperServ SYS-121C-TN2R
Compact Server
Cloud Computing
Data Center Optimized
Value IaaS
DNS & Gateway Serverd
Firewall Application
Web Server
CDN, Edge Nodes3 777.87 € -
GPU System ARS-121L-DHR
High Performance Computing
Hyperscale Cloud Applications
Data Analytics31 933.37 € -
GPU System ARS-221GL-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing
General purpose CPU workloads, including analytics, data science, simulation, HPC, application servers, and more31 887.96 €
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.