4U - GPU systems - MegaDC - Multi Processor - 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:
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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.
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.
MegaDC servers are designed for hyper-scale data center environments and cloud computing, offering unparalleled efficiency, reliability, and scalability. These solutions benefit from cutting-edge thermal management and power optimization, making them ideal choices for enterprises looking to reduce operational costs while maintaining high performance.
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.
Multi-processor systems are engineered to handle high-performance computing tasks, machine learning, and data analytics by utilizing multiple CPUs to execute parallel operations efficiently. Deployed in research labs, data centers, and enterprises, these systems offer significant advantages in terms of computational speed and multitasking capabilities, thereby optimizing workload management and resource utilization.
4U is four rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the server. Mostly sliding rail kit is included with servers. Also can be tower chassis that is turned to the side.
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GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs9 823.87 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs159 006.33 € -
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-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 283.96 € -
GPU SuperServer SYS-421GU-TNXR-LC
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs129 958.25 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 416.63 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization20 340.43 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 269.60 € -
GPU SuperServer SYS-421GE-TNRT3
Design & Visualization
Diagnostic Imaging
3D Rendering
Animation and Modeling
Cloud Gaming
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root18 127.65 € -
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GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 579.05 € -
GPU SuperServer SYS-4029GP-TRT
3D rendering, Astrophysics
Chemistry, Cloud Computing
Virtualization
Compute intensive application6 366.61 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 334.14 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation43 957.46 € -
GPU SuperServer SYS-420GP-TNAR-LC
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs157 888.27 €
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.