GPU systems - 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.
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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GPU SuperServer SYS-2029GP-TR
GPU Server, Mission-critical app.
enterprise server, large database
oil & gas, e-business
on-line transaction processing, medical4 232.72 € -
GPU System ARS-111GL-NHR
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI40 093.00 € -
GPU A+ Server AS-2124GQ-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing73 244.54 € -
GPU SuperServer SYS-421GE-TNRT
Animation and Modeling
Cloud Gaming
Design & Visualization
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root20 423.10 € -
GPU SuperServer SYS-1029GQ-TNRT
High-performance Computing
Big Data Analytics
Business Intelligence
Research Lab, Astrophysics4 646.39 € -
GPU A+ Server AS-4125GS-TNRT1
AI / Deep Learning
High Performance Computing
Single Root
GPU Virtualization14 222.32 € -
MP SuperServer SYS-240P-TNRT
Artificial Intelligence (AI)
Business Intelligence
Scientific Virtualization
HCI, ERP, CRM
In-Memory Database
SAP HANA10 612.05 € -
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MegaDC SuperServer ARS-210M-NR
High Performance Computing
Immersive Media
Cloud Gaming / AICAN
AI Inference / Training
Dense-VDI
Video-on-Demand4 579.11 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)153 692.07 € -
GPU A+ Server AS-4124GS-TNR+
AI / Deep Learning
High Performance Computing
Cloud Gaming
Molecular Dynamics Simulation
Nvidia A100 GPUs10 040.67 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization21 063.72 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 939.86 € -
MegaDC SuperServer ARS-110M-NR-EU
Enterprise Server
Hyperscale Data Center
Front End Server
Infrastructure3 835.47 € -
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 445.12 €
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.