8 GPU - 8U - GPU systems - GrandTwin - JBOD - Max IO - 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.
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.
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.
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.
8U is eight rack unit high devices, that are 19" wide in standard rack enclosures. Usually need 4 point installations. It means Rack cabinet must have rear rails to support the weight of the servers. Often Blade, Superblade, Microblade systems or most powerful Multi-processor servers and GPU servers.
Servers capable of housing eight GPUs are primarily designed for mission-critical tasks that demand extraordinary computational power, such as complex financial modeling, 3D rendering, and deep learning. Having eight GPUs ensures unparalleled performance and speed, significantly reducing time-to-insight in data-intensive applications.
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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 Detection125 387.30 € -
GPU SuperServer SYS-821GE-TNHR
Conversational AI
Industrial Automation, Retail
AI/Deep Learning Training
High Performance Computing
Drug Discovery
Finance & Economics
Healthcare
Business Intelligence & Analytics
Climate and Weather Modeling249 298.76 € -
GPU A+ Server AS-8125GS-TNHR-LC
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™264 523.13 € -
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation122 436.54 € -
GPU A+ Server AS-8125GS-TNHR
High-performance Computing
AI / Deep Learning Training
Nvidia H100 GPUs
NVIDIA® NVLink™ with NVSwitch™258 566.33 € -
GPU A+ Server AS-8125GS-TNMR2
High-performance Computing
AI / Deep Learning Training
Industrial Automation, Retail
Climate and Weather Modeling207 546.02 €
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.