AMD EPYC 7000 series - GPU systems - Intel Atom C series - Intel Core 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.
GPU systems are specialized hardware solutions with latest NVidia GPU's, AMD GPUs and all the rest on the market. These Integrated GPU servers are designed for accelerated computing tasks such as machine learning, data analysis, and graphics rendering. Widely used in industries like automotive design, healthcare, and scientific research, these systems offer unparalleled performance, scalability, and efficiency.
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.
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 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.
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 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.
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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 847.89 € -
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GPU A+ Server AS-2114GT-DNR - 2 nodes
Media/Video Streaming
AI Inference and Machine Learning
Cloud Gaming
Industrial Automation, Retail, Smart Medical Expert Systems14 896.28 € -
GPU A+ Server AS-4124GO-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)154 295.51 € -
GPU A+ Server AS-2124GQ-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing70 504.62 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)69 408.55 € -
GPU A+ Server AS-2124GQ-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)67 924.36 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI74 939.92 € -
GPU System ARS-111GL-NHR
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI38 539.18 € -
GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs9 811.56 € -
GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)155 309.86 € -
GPU A+ Server AS-2124GQ-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing71 004.40 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 283.96 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 269.60 € -
GPU System ARS-121L-DHR
High Performance Computing
Hyperscale Cloud Applications
Data Analytics31 893.23 €
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.