GPU systems - JBOD - MegaDC - Multi Processor - 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.
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.
JBOD (Just a Bunch Of Disks) is a modular data storage system that operates independently from computational servers, focusing on providing reliable access to stored information. It is commonly used in enterprise solutions for scalable storage capacity and high performance, especially in industries that require large data processing and low latency, such as finance and healthcare.
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.
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Storage Chassis CSE-216BE2C-R609JBOD
Cloud Backup
Data Replication
High Density Archive Storage Applications2 327.14 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization20 998.92 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)153 218.90 € -
GPU SuperServer SYS-4029GP-TRT2
Artificial Intelligence
Big Data Analytics
High-performance Computing
Research Lab/National Lab
Astrophysics
Business Intelligence7 180.69 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI77 717.69 € -
GPU A+ Server AS-2114GT-DNR - 2 nodes
Media/Video Streaming
AI Inference and Machine Learning
Cloud Gaming
Industrial Automation, Retail, Smart Medical Expert Systems15 397.57 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 196.88 € -
MP SuperServer SYS-241H-TNRTTP
Artificial Intelligence (AI)
Business Intelligence
Scientific Virtualization
HCI, ERP, CRM
In-Memory Database
SAP HANA16 667.82 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 893.86 € -
GPU SuperServer SYS-2029GP-TR
GPU Server, Mission-critical app.
enterprise server, large database
oil & gas, e-business
on-line transaction processing, medical4 219.71 € -
GPU SuperServer SYS-421GU-TNXR-LC
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs134 274.12 € -
GPU SuperServer SYS-210GP-DNR - 2 nodes
High Performance Computing
AI/Deep Learning Training
Media/Video Streaming
Industrial Automation, Retail
Cloud Gaming18 960.60 € -
GPU A+ Server AS-2124GQ-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)70 341.83 € -
MP SuperServer SYS-681E-TR
In-Memory Database Application
Virtualization, ERP, CRM
Research lab/National Lab
Scale-up HPC82 112.70 € -
Storage Chassis CSE-947HE1C-R2K05JBOD
Cloud Backup
Data Replication
High Density Archive Storage Applications15 095.38 €
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.