3rd Generation Intel Xeon Scalable series - NVIDIA Grace Hopper series - NVIDIA Grace series - 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.
The NVIDIA Grace Hopper™ architecture brings together the groundbreaking performance of the NVIDIA Hopper™ GPU with the versatility of the NVIDIA Grace™ CPU in a single superchip, connected with the high-bandwidth, memory-coherent NVIDIA® NVLink® Chip-2-Chip (C2C) interconnect.
The 3rd Gen Intel Xeon Scalable processors are widely used in data centers, cloud computing environments, and high-performance computing setups, offering optimized throughput and improved latency for various workloads. With features like Intel DL Boost for AI acceleration and built-in security measures, these processors provide a balanced combination of performance, energy efficiency, and advanced capabilities for enterprise applications.
The NVIDIA Grace CPU is the first data center CPU developed by NVIDIA. By combining NVIDIA expertise with Arm processors, on-chip fabrics, system-on-chip (SoC) design, and resilient high-bandwidth low-power memory technologies, the NVIDIA Grace CPU was built from the ground up to create the world’s first superchips for computing. At the heart of the superchip lies the NVLink Chip-2-Chip (C2C) that allows the NVIDIA Grace CPU to communicate at 900 GB/s bidirectional bandwidth with another NVIDIA Grace CPU.
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GPU System ARS-121L-DHR
High Performance Computing
Hyperscale Cloud Applications
Data Analytics31 933.37 € -
GPU System ARS-111GL-NHR
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI38 587.70 € -
GPU System ARS-221GL-NR
High Performance Computing
AI/Deep Learning Training
Large Language Model (LLM) Natural Language Processing
General purpose CPU workloads, including analytics, data science, simulation, HPC, application servers, and more31 887.96 € -
GPU System ARS-111GL-DNHR-LCC
High Performance Computing
AI/Deep Learning Training and Inference
Large Language Model (LLM) and Generative AI75 034.26 € -
SuperServer SYS-820GH-TNR2
Computer Vision
Natural Language Processing
Purpose Built for AI/Deep Learning Training
Recommendation121 038.32 € -
SuperWorkstation SYS-740GP-TNRBT
AI / Deep Learning Training
High Performance Computing
Scientific Virtualization
Rendering5 931.07 € -
GPU SuperServer SYS-420GU-TNXR
High-performance Computing (HPC)
AI / Deep Learning Training
Nvidia A100 GPUs87 334.14 € -
GPU SuperServer SYS-420GP-TNR
Rendering
VDI
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs14 416.63 € -
GPU SuperServer SYS-420GP-TNAR+
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs155 866.05 € -
SuperWorkstation SYS-740GP-TNRT
Scientific Virtualization
Rendering
AI / Deep Learning Training
High Performance Computing6 017.92 € -
GPU SuperServer SYS-420GP-TNAR
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs154 747.99 € -
SuperServer SYS-420GH-TNGR
Purpose Built for AI/Deep Learning Training
Computer Vision
Natural Language Processing
Recommendation43 957.46 € -
GPU SuperServer SYS-210GP-DNR - 2 nodes
High Performance Computing
AI/Deep Learning Training
Media/Video Streaming
Industrial Automation, Retail
Cloud Gaming18 451.14 € -
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GPU SuperServer SYS-420GP-TNAR+(LC)
Liquid cooling
AI / Deep Learning Training
High-performance Computing (HPC)
Nvidia A100 GPUs159 006.33 €
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.