FatTwin - GPU systems - Max IO - Workstation - 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.
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.
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.
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.
Workstations are high-performance computing solutions specifically designed for demanding tasks such as video editing, 3D rendering, and complex data simulations. Often deployed in industries like animation, engineering, and scientific research, these powerful machines offer unparalleled speed and reliability, enabling professionals to work more efficiently and achieve quicker time-to-market for their projects.
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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 Detection127 661.61 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)153 419.23 € -
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 Systems13 752.31 € -
FatTwin SuperServer SYS-F629P3-RC0B - 4 nodes
4 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center13 050.64 € -
GPU SuperServer SYS-221GE-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing32 409.07 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 913.35 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation45 480.64 € -
FatTwin SuperServer SYS-F619P2-RT - 8 nodes
8 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center22 994.48 € -
FatTwin SuperServer SYS-F511E2-RT - 8 nodes
Hyperscale / Hyperconverged
HPC and Big Data
Telco Data Center
Data Center Enterprise Applications21 352.60 € -
FatTwin A+ Server AS-F1114S-FT - 8 nodes
Hyperscale / Hyperconverged Solutions
Cloud Computing
Cluster Node
Data Center
HPC cluster computer nodes17 577.38 € -
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FatTwin SuperServer SYS-F619P2-RC0 - 8 nodes
8 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center24 691.82 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™262 854.51 € -
GPU A+ Server AS-2124GQ-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)71 974.41 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI77 819.35 €
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.