Certified with Oracle Linux - GPU servers

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.