GPU systems - JBOD - MegaDC - Twin - 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.
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.
Twin servers are optimized for high-performance and efficiency, often utilized in data centers, cloud computing, and enterprise IT environments. These systems boast advantages such as modular design for easy scalability, reduced energy consumption, and the capability to handle intensive workloads, making them an excellent choice for businesses looking to maximize ROI and 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.
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GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI77 819.35 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™262 854.51 € -
GPU SuperServer SYS-420GP-TNAR+
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs157 033.12 € -
GPU SuperServer SYS-4029GP-TRT
3D rendering, Astrophysics
Chemistry, Cloud Computing
Virtualization
Compute intensive application6 585.25 € -
GPU SuperServer SYS-210GP-DNR - 2 nodes
High Performance Computing
AI/Deep Learning Training
Media/Video Streaming
Industrial Automation, Retail
Cloud Gaming18 985.40 € -
JBOF SuperStorage SSG-136R-NEL32JBF
High Throughput Ingest
High Density Hot Storage
HPC / Data Analytics
Media/Video Streaming
Content Delivery Network (CDN)
Big Data Top of Rack Storage17 691.46 € -
GPU SuperServer SYS-421GU-TNXR-LC
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs134 449.71 € -
Twin SuperServer SYS-120TP-DTTR - 2 nodes
High Performance Computing
Hyper-Converged Infrastructure
Big Data / Big Science6 380.06 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)71 974.41 € -
GPU SuperServer SYS-1029GQ-TRT
GPU Server, Mission-critical app.
enterprise server, HPC
oil & gas, financial, 3D rendering
chemistry4 475.39 € -
GPU A+ Server AS-8125GS-TNMR2
High-performance Computing
AI / Deep Learning Training
Industrial Automation, Retail
Climate and Weather Modeling238 307.08 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs160 201.28 € -
Storage Chassis CSE-946SE1C-R1K66JBOD
Cloud Backup
Data Replication
High Density Archive Storage Applications7 050.93 € -
GPU SuperServer SYS-521GE-TNRT
Design & Visualization
Animation and Modeling
Cloud Gaming
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root21 532.27 € -
Storage Chassis CSE-847E2C-R1K23JBOD
Cloud Backup
Data Replication
High Density Archive Storage Applications3 232.20 €
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.