AMD EPYC 9004 series - FatTwin - GPU systems - GrandTwin - MegaDC - MicroCloud - 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.
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.
MicroCloud solutions are designed for distributed computing environments and edge locations, providing a high level of scalability and redundancy in a compact form factor. They are ideal for applications such as IoT data processing, remote office setups, and multi-cloud deployments, offering the benefits of reduced latency and lower total cost of ownership (TCO).
The AMD EPYC 9004 processor series offers unparalleled performance and efficiency, making it a go-to choice for data centers, enterprise applications, and complex computational workloads. With its scalable architecture and high core-count, this processor type enables faster data processing, lowers operational costs, and delivers robust security features for a wide range of use cases.
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GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse19 196.53 € -
GrandTwin AS-2115GT-HNTR - 4 nodes
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
Multi-Purpose CDN
HPC
Cloud Gaming
EDA (Electric Design Automation)
Mission Critical Web Applications12 327.56 € -
GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™268 675.70 € -
GPU A+ Server AS-4125GS-TNRT1
AI / Deep Learning
High Performance Computing
Single Root
GPU Virtualization14 197.09 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™262 854.51 € -
GrandTwin AS-2115GT-HNTF - 4 nodes
Multi-Purpose CDN
Cloud Gaming
High-availability Cache Cluster
MEC (Multi-Access Edge Computing)
Telco Edge Cloud
HPC
EDA (Electric Design Automation)
Mission Critical Web Applications12 298.52 € -
GPU A+ Server AS-8125GS-TNMR2
High-performance Computing
AI / Deep Learning Training
Industrial Automation, Retail
Climate and Weather Modeling238 307.08 € -
GPU A+ Server AS-4125GS-TNRT2
AI / Deep Learning
High Performance Computing
PLX Dual Root
Metaverse
GPU Virtualization21 026.37 €
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.