FatTwin - GPU systems - NVMe native - 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:

  • 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.

  • 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.

  • 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.

  • 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.

FatTwin is a high-density server solution designed to optimize performance and energy efficiency for demanding enterprise and cloud computing tasks. Offering customizable configurations and hot-swappable modules usually 4U systems that have four nodes or 8 server nodes in one chassis. FatTwin is well-suited for data centers looking for scalable, cost-effective hardware that maximizes ROI while minimizing operational expenses.
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.
Servers with native NVMe (Non-Volatile Memory Express) support are designed for the most demanding data-intensive tasks, such as big data analytics, machine learning, and high-frequency trading. Native NVMe offers unparalleled speed and low-latency data access, revolutionizing the data processing capabilities of enterprises and HPC centers.

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  1. GPU SuperServer SYS-4029GP-TRT3 GPU SuperServer 4029GP-TRT3

    Artificial Intelligence
    Deep Learning
    Support up to 9 GPUs

    7 191.61 €
  2. GPU System ARS-221GL-NR 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 more

    32 680.19 €
  3. GPU SuperServer SYS-120GQ-TNRT GPU SuperServer SYS-120GQ-TNRT

    Scientific Virtualization
    Rendering
    Big Data Analytics
    Business Intelligence
    High-performance Computing
    Research Lab, Astrophysics

    15 541.23 €
  4. GPU SuperServer SYS-420GU-TNXR GPU SuperServer SYS-420GU-TNXR

    High-performance Computing (HPC)
    AI / Deep Learning Training
    Nvidia A100 GPUs

    86 786.29 €
  5. GPU SuperServer SYS-4029GP-TRT GPU SuperServer 4029GP-TRT

    3D rendering, Astrophysics
    Chemistry, Cloud Computing
    Virtualization
    Compute intensive application

    6 462.12 €
  6. GPU SuperServer SYS-821GV-TNR GPU SuperServer SYS-821GV-TNR

    Industrial Automation
    Business Intelligence & Analytics
    Climate and Weather Modeling
    Biomedical
    High Performance Computing
    AI/Deep Learning Training
    Generative AI
    Finance Services and Fraud Detection

    141 843.25 €
  7. GPU SuperServer SYS-420GP-TNAR GPU SuperServer SYS-420GP-TNAR

    AI / Deep Learning Training
    High-performance Computing (HPC)
    Nvidia A100 GPUs

    153 716.98 €
  8. GPU A+ Server AS-2114GT-DPNR - 2 nodes GPU A+ Server AS-2114GT-DPNR - 2 nodes

    Media/Video Streaming
    AI Inference and Machine Learning
    GPU Virtualization (VDI)
    Industrial Automation, Retail, Smart Medical Expert Systems

    13 541.78 €
  9. GPU SuperServer SYS-1029GQ-TNRT GPU SuperServer 1029GQ-TNRT

    High-performance Computing
    Big Data Analytics
    Business Intelligence
    Research Lab, Astrophysics

    4 501.37 €
  10. GPU SuperServer SYS-221GE-NR GPU SuperServer SYS-221GE-NR

    High Performance Computing
    AI/Deep Learning Training
    Large Language Model (LLM) Natural Language Processing

    31 736.78 €
  11. GPU SuperServer SYS-420GP-TNAR+ GPU SuperServer SYS-420GP-TNAR+

    AI / Deep Learning Training
    High-performance Computing (HPC)
    Nvidia A100 GPUs

    154 831.94 €
  12. SuperServer SYS-420GH-TNGR SuperServer SYS-420GH-TNGR

    Purpose Built for AI/Deep Learning Training
    Computer Vision
    Natural Language Processing
    Recommendation

    44 758.20 €
  13. FatTwin SuperServer SYS-F511E2-RT - 8 nodes FatTwin SuperServer SYS-F511E2-RT - 8 nodes

    Hyperscale / Hyperconverged
    HPC and Big Data
    Telco Data Center
    Data Center Enterprise Applications

    20 660.81 €
  14. FatTwin A+ Server AS-F1114S-RNTR - 8 nodes FatTwin A+ Server AS-F1114S-RNTR

    Hyperscale / Hyperconverged
    HPC and Big Data
    Scale Out Storage
    Data Center Enterprise Applications
    Telco Data Center
    Virtualization Server

    16 564.33 €
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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.