GPU systems - Max IO - MicroCloud - 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.
MicroCloud solutions are designed for distributed computing environments and edge locations, providing a high level of scalability and redundancy in a compact form factor. They are ideal for applications such as IoT data processing, remote office setups, and multi-cloud deployments, offering the benefits of reduced latency and lower total cost of ownership (TCO).
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.
Max IO solutions have the most IO slots per one server. They are optimized for high-throughput and low-latency data transfer, making them ideal for data-intensive applications like big data analytics, real-time financial transactions, and high-performance computing. These systems offer scalable and efficient I/O capabilities, reducing bottlenecks and enhancing overall system performance.
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GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)155 309.86 € -
GPU SuperServer SYS-821GE-TNHR
Conversational AI
Industrial Automation, Retail
AI/Deep Learning Training
High Performance Computing
Drug Discovery
Finance & Economics
Healthcare
Business Intelligence & Analytics
Climate and Weather Modeling251 057.22 € -
GPU SuperServer SYS-2029GP-TR
GPU Server, Mission-critical app.
enterprise server, large database
oil & gas, e-business
on-line transaction processing, medical4 163.34 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI76 436.38 € -
GPU A+ Server AS-2124GQ-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing72 272.85 € -
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 429.62 € -
GPU SuperServer SYS-1029GQ-TNRT
High-performance Computing
Big Data Analytics
Business Intelligence
Research Lab, Astrophysics4 568.27 € -
GPU SuperServer SYS-421GU-TNXR-LC
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs132 319.31 € -
GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 855.80 € -
GPU A+ Server AS-8125GS-TNMR2
High-performance Computing
AI / Deep Learning Training
Industrial Automation, Retail
Climate and Weather Modeling234 400.10 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 283.96 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 334.14 € -
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 483.86 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 644.22 €
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.