8 GPU - GPU systems - Hyper - NVIDIA-Certified Systems - NVMe native - TwinPro - 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.
Nvidia certified servers are carefully selected and tested to use Nvidia GPUs and software. Certifications are to validate proficiency in applications like deep learning and data science. These certifications are targeted at professionals using NVIDIA's hardware and software for high-performance computing tasks.
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.
Hyper solutions are the best server series from Supermicro. Hyper servers are most flexible for different configurations and provide most powerful server configruations. Hyper server can be configured with Nvidia GPUs to provide server virtualization and cloud computing capabilities, optimizing data center resources for increased efficiency and flexibility. Commonly utilized in enterprise IT environments, these solutions offer benefits such as cost savings, simplified management, and enhanced disaster recovery.
TwinPro servers are engineered for mission-critical applications and are commonly deployed in data centers that require high availability and robust performance. With features like hot-swappable components, energy-efficient cooling solutions, and dual CPU configurations, TwinPro servers offer enhanced reliability and scalability, making them a go-to choice for enterprises aiming for optimal operational continuity.
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.
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.
![Loading...](https://www.serversimply.com/static/version1723188547/frontend/Ambientia/Serversimply/en_US/images/loader-1.gif)
-
GPU SuperServer SYS-420GP-TNAR-LC
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs157 888.27 € -
GPU A+ Server AS-4124GO-NART-LC
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)154 295.51 € -
GPU SuperServer SYS-420GP-TNAR
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs154 747.99 € -
GPU SuperServer SYS-420GP-TNAR+
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs155 866.05 € -
GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs159 006.33 € -
GPU A+ Server AS-4124GO-NART+(LC)
Liquid cooling
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)155 309.86 € -
GPU A+ Server AS-4124GO-NART+
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)152 283.96 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 362.38 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 269.60 €
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.