FatTwin - GPU systems - GrandTwin - 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.
GrandTwin is a high-performance server solution designed for mission-critical enterprise applications using latest AMD processors and latest Intel CPU's with Nvme SSD's. This makes these systems perfect for big data analytics and high-performance computing. Its superior scalability and reliability offer businesses a competitive edge, while optimizing total cost of ownership.
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FatTwin SuperServer SYS-F629P3-RTB - 4 nodes
4 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center12 212.72 € -
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 772.87 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)153 649.00 € -
GrandTwin SYS-211GT-HNTF - 4 nodes
Multi-Purpose CDN
Mission Critical Web Applications
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)10 465.23 € -
FatTwin SuperServer SYS-F629P3-RC0B - 4 nodes
4 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center13 070.19 € -
GPU SuperServer SYS-421GE-TNHR-LCC
High Performance Computing
AI/Deep Learning Training
Industrial Automation, Retail
Healthcare
Conversational AI
Business Intelligence & Analytics
Drug Discovery
Climate and Weather Modeling
Finance & Economics267 474.50 € -
GrandTwin SYS-210GT-HNTF - 4 nodes
Container-as-a-Service
Application Accelerator
High-Performance File System
Diskless HPC Clusters
Big Data Analytics and AI
All-Flash Hyperconverged Infrastructure10 046.88 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 935.65 € -
GrandTwin SYS-211GT-HNC8F - 4 nodes
Multi-Purpose CDN
HPC
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
EDA (Electric Design Automation)
Mission Critical Web Applications11 003.16 € -
FatTwin SuperServer SYS-F619P2-RT - 8 nodes
8 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center23 028.94 € -
GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™269 078.00 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation45 548.68 € -
FatTwin A+ Server AS-F1114S-FT - 8 nodes
Hyperscale / Hyperconverged Solutions
Cloud Computing
Cluster Node
Data Center
HPC cluster computer nodes17 603.61 € -
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 564.48 € -
FatTwin SuperServer SYS-F619P2-RC0 - 8 nodes
8 Hot-plug System Nodes in 4U
Compute Intensive Applications
Data Center24 728.81 €
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.