2nd Generation Intel Xeon Scalable series - 2U - 4th/5th Generation Intel Xeon Scalable series - AMD EPYC 3000 series - Intel Core series - Intel Xeon D series - NVIDIA Grace series - Supermicro - 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.
Supermicro products are best in the world in servers, storage solutions, and high-performance computing systems. Their products often come in form factors designed for rack-mounting in standard 19-inch enclosures, but can be found in tower and in very small form factor servers.
2U is two rack unit size devices, that are 19" wide in standard rack enclosures.
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.
2nd Gen Intel Xeon Scalable processors are commonly deployed in enterprise-level data centers and for cloud services, offering robust performance and scalability for various computing needs. With advanced features like Intel Optane DC persistent memory and hardware-based security, these processors are designed to accelerate data-intensive tasks and offer enhanced reliability.
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.
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 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.
![Loading...](https://www.serversimply.com/static/version1723188547/frontend/Ambientia/Serversimply/en_US/images/loader-1.gif)
-
BigTwin SuperServer SYS-621BT-DNTR - 2 nodes
Hyperconverged Infrastructure
Back-up & Recovery
Scale-Out Object Storage8 365.74 € -
GrandTwin SYS-211GT-HNC8F - 4 nodes
Multi-Purpose CDN
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)
Mission Critical Web Applications10 636.95 € -
Storage SuperServer SSG-621E-ACR12L
Enterprise Server
HPC, Data Center
iSCSI SAN
Corporate Database
Database Processing & Storage
Appliance Optimized Storage Building Blocks4 475.72 € -
Storage SuperServer SSG-621E-ACR16H
Enterprise Server
HPC, Data Center
iSCSI SAN
Corporate Database
Database Processing & Storage
Appliance Optimized Storage Building Blocks5 233.71 € -
Storage SuperServer SSG-621E-ACR16L
Enterprise Server
HPC, Data Center
iSCSI SAN
Corporate Database
Database Processing & Storage
Appliance Optimized Storage Building Blocks4 929.68 € -
Storage SuperServer SSG-621E-ACR12H
Enterprise Server
HPC, Data Center
iSCSI SAN
Corporate Database
Database Processing & Storage
Appliance Optimized Storage Building Blocks4 802.49 € -
Storage SuperServer SSG-521E-E1CR24H
Corporate Database
Database Processing & Storage
Appliance Optimized Storage Building Blocks
Enterprise Server
HPC, Data Center
iSCSI SAN6 951.78 € -
Storage SuperServer SSG-521E-E1CR24L
Database Processing & Storage
Corporate Database
Appliance Optimized Storage Building Blocks
Enterprise Server
HPC, Data Center
iSCSI SAN6 607.43 € -
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 € -
IoT SuperServer SYS-211E-FRDN13P
5G CU/DU Edge Server
Network Function Virtualization
Flex RAN, Open RAN vBBU
Cloud Computing4 487.76 € -
IoT SuperServer SYS-211E-FRN13P
Network Function Virtualization
5G CU/DU Edge Server
Flex RAN, Open RAN vBBU
Cloud Computing4 356.43 € -
IoT SuperServer SYS-221HE-TNR
5G Core and Edge
Telecom Micro Data Center
AI Inference and Machine Learning
Network Function Virtualization
Cloud Computing5 506.69 € -
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 € -
GPU optimized SYS-221H-TN24R
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 587.11 € -
GPU optimized SYS-221H-TNR
AI Inference and Machine Learning
Virtualization
Enterprise Server
Cloud Computing
Software Defined Storage8 662.54 €
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.