4U - Supermicro - VMware ESXi compatible - GPU servers
Enhance your computational capabilities with our versatile servers designed for data center environments. Tailored for demanding tasks across various domains, our servers integrate cutting-edge technology to meet your specific needs.
Key Advantages:
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Diverse Configurations: Select from top-of-the-line NVIDIA and AMD GPUs like the Nvidia Tesla V100 and Nvidia A100, suitable for various professional needs from HPC to enterprise solutions.
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Massive Parallel Processing Power: Ideal for AI, machine learning, and complex simulations, our servers offer unparalleled processing capabilities to handle intensive data tasks efficiently.
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Optimized for AI and Deep Learning: Specifically designed for deep learning and AI applications, ensuring optimal performance for AI-driven projects.
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Advanced Connectivity: Featuring GPU-Direct technology for superior data transfer speeds, crucial for high-load computational tasks.
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Flexible Form Factors: From compact 1U GPU servers to robust 4U GPU configurations, we offer a variety of form factors to meet your specific requirements.
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Reliability and Scalability: Built to support long-term, intensive operations with options to scale as your computational needs grow.
Explore our extensive range of GPU servers and discover the perfect solution tailored to meet your specific computational needs.
Supermicro products are best in the world in servers, storage solutions, and high-performance computing systems. Their products often come in form factors designed for rack-mounting in standard 19-inch enclosures, but can be found in tower and in very small form factor servers.
VMware-certified servers are rigorously tested hardware platforms optimized to run VMware's suite of virtualization and cloud computing software. These servers are widely used in data centers, enterprise environments, and hybrid cloud infrastructures to deliver benefits like enhanced scalability, resource optimization, and simplified management.
4U is four 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 server. Mostly sliding rail kit is included with servers. Also can be tower chassis that is turned to the side.
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GPU SuperServer SYS-421GE-TNRT
Animation and Modeling
Cloud Gaming
Design & Visualization
Diagnostic Imaging
3D Rendering
AI / Deep Learning
High Performance Computing
Media/Video Streaming
Dual Root19 982.94 € -
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)154 295.51 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 583.18 € -
GPU A+ Server AS-4124GO-NART
AI Compute
Model Training
Deep Learning
High-performance Computing (HPC)151 269.60 € -
GPU SuperServer SYS-421GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia H100 GPUs128 860.81 € -
GPU A+ Server AS-4125GS-TNRT
AI / Deep Learning
High Performance Computing
GPU Virtualization
Dual Root Direct Attached
8 Direct attached GPUs
Omniverse/Metaverse18 793.68 € -
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-TNAR+
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs155 866.05 €
How to choose a GPU server for GPU acceleration?
- To select the right GPU server, consider your specific workload requirements, such as AI server capabilities, machine learning server demands, or deep learning server needs. Look for a server equipped with advanced processors like AMD EPYC 9004 Series, which balances performance, connectivity, and power efficiency—key factors for high-performance GPU solutions like NVIDIA or AMD server GPUs. Additionally, servers with the latest Intel Xeon Scalable processors are optimized for high-density computing, supporting advanced technologies and parallel computing for high-performance applications.
What is the best GPU for servers?
- The best GPU for servers depends largely on the specific applications and computational demands. For high-performance computing, AI training, and deep learning, NVIDIA GPUs, such as the A100 and the newer H100, are currently among the most powerful options. The NVIDIA A100 is designed to handle diverse workloads efficiently, making it ideal for everything from AI to scientific computing. On the other hand, the NVIDIA H100, part of NVIDIA’s Hopper architecture, provides exceptional performance for AI and machine learning, pushing the boundaries of what server GPUs can accomplish in terms of speed and processing power. Both these models offer massive improvements in throughput, energy efficiency, and AI feature sets, delivering the highest performance for enterprise-grade, GPU-accelerated servers.
How many cores are in a GPU?
- The number of cores in a GPU server, often integrated with scalable processors like the 3rd Gen Intel Xeon Scalable Processors, can vary widely depending on the model and manufacturer. High-end GPUs, particularly those designed for supercomputing or deep learning, can house thousands of cores to efficiently manage multiple parallel tasks in computationally intensive environments.
Best GPU servers
- SYS-4029GP-TRT2 Supermicro GPU SuperServer: Engineered for Artificial Intelligence and High-performance Computing with a focus on Big Data Analytics and Astrophysics.
- GPU A+ Server AS-4125GS-TNRT1: Designed for Single Root AI / Deep Learning applications and GPU Virtualization, offering High Performance Computing capabilities.
- GPU A+ Server AS-4124GS-TNR+: Specialized for Cloud Gaming and Molecular Dynamics Simulation with Nvidia A100 GPUs, making it ideal for rigorous scientific applications.
- GPU SuperServer SYS-421GE-TNRT3: Perfect for Design & Visualization, Diagnostic Imaging, and intensive 3D Rendering.
- GPU A+ Server AS-8125GS-TNHR-LC: The ultimate in liquid-cooled technology for High-performance Computing and AI / Deep Learning Training, featuring NVIDIA® NVLink™ with NVSwitch™.
GPU Server Cost
- At Server Simply, our GPU servers are priced to accommodate a variety of budgetary and performance needs. Prices range from approximately €3,700 for entry-level models suitable for basic machine learning tasks, to over €280,000 for advanced models equipped with the latest technologies for intensive computational tasks such as deep learning, high-performance computing, and AI training. This wide range ensures options for both startups and large enterprises looking to enhance their computing power.