NVIDIA GH200 Super Server

NVIDIA GH200 Super Server

Product Details Introduction

NVIDIA GH200 Super Server

Deep learning and artificial intelligence: NVIDIA GPU is used to train and infer deep learning models, including computer vision, natural language processing, reinforcement learning, and more. The super server is equipped with multiple GPUs to accelerate the training of large-scale neural networks.

High Performance Computing (HPC): The use of super servers for complex numerical simulations, model calculations, and data analysis in fields such as scientific research, meteorology, physics, engineering, and finance. NVIDIA GPU provides high-performance and parallel computing capabilities.

Data analysis and big data processing: Super servers are used to process large-scale datasets for data mining, machine learning, and big data analysis. GPU can accelerate these tasks and improve efficiency.

Cloud computing and virtualization: Hyperservers are used by cloud service providers to host virtual machine instances, containers, and cloud applications. NVIDIA GPU can provide accelerated computing services in cloud computing environments.

Scientific research: In the field of scientific research, super servers are used to simulate and analyze complex scientific phenomena, such as climate simulation, genomics research, nuclear physics simulation, etc.

Financial field: Financial institutions use super servers for risk analysis, high-frequency trading, financial modeling, and large-scale data analysis, and NVIDIA GPUs can provide the required computational performance.

Virtual Desktop Infrastructure (VDI): Super servers can be used to support large-scale virtual desktop infrastructure, providing acceleration of virtual desktop experience and graphics applications.

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