3rd Generation Intel Xeon Scalable series - 4 GPU - AMD EPYC 3000 series - AMD EPYC 7000 series - AMD Ryzen 7000 series - Ampere Altra 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:
-
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 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 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.
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.
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.
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 AMD EPYC 7000 series processors are designed for scalable data center and enterprise applications, excelling in tasks like virtualization, high-performance computing, and cloud-based solutions. Leveraging a significant number of cores and an architecture optimized for efficiency, these processors offer high performance, robust security features, and an attractive TCO (Total Cost of Ownership), making them a favored choice for organizations aiming to achieve operational excellence.
With support for up to four GPUs, these servers are engineered to handle GPU-intensive tasks such as deep learning, 3D rendering, and complex scientific calculations. The added benefit of four GPUs translates into unparalleled parallel processing capabilities, significantly accelerating compute-intensive workloads and improving system efficiency.
![Loading...](https://www.serversimply.com/static/version1723188547/frontend/Ambientia/Serversimply/en_US/images/loader-1.gif)
-
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 334.14 € -
GPU A+ Server AS-2124GQ-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing71 915.05 € -
GPU SuperServer SYS-120GQ-TNRT
Scientific Virtualization
Rendering
Big Data Analytics
Business Intelligence
High-performance Computing
Research Lab, Astrophysics15 427.39 € -
GPU A+ Server AS-2124GQ-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)68 795.51 € -
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 more32 256.36 € -
-
-
GPU A+ Server AS-2124GQ-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing71 408.86 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)70 298.73 € -
MegaDC SuperServer ARS-210M-NR
High Performance Computing
Immersive Media
Cloud Gaming / AICAN
AI Inference / Training
Dense-VDI
Video-on-Demand4 596.65 €
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.