HPC high-performance server is oriented to high-performance computing application scenarios and compatible with AI applications. While realizing the characteristics of high-density, high efficiency, low power consumption and easy management at the hardware level, the widely deployed management platform provides users with a flexible, efficient and easy-to-use scalable integration architecture to achieve out of the box use. Simplify IT infrastructure and reduce costs: help users establish a consistent platform, and enable flexible switching between HPC and AI applications without the need to migrate the platform. Improve productivity and work efficiency: When running tasks, multiple components coordinate with each other and dynamically adjust resources to maximize resource utilization. Built in mainstream AI framework, it can rapidly deploy the network, shorten the preparation time, obtain real-time and powerful acceleration library support, and start training/reasoning tasks.
Application:
Simulation calculation
1.Automatic feature detection, identification of threats from severe weather, solar storms and NEOs, and how to make more accurate predictions using accelerated models and data assimilation technologies
2.High performance, high speed and low delay, which can meet the requirements of network communication and fast data access in the simulation process
life sciences
1.Meet the needs of personalized medical treatment, new generation clinics and higher nursing quality.
2.With the help of accelerated computing, researchers can establish a model of millions of molecules simultaneously in a virtual way to screen hundreds of potential drugs, thereby reducing costs and shortening the time to solve problems.
3.By using HPC to accelerate genome analysis in population research and cancer genomics research, we can help identify rare diseases and quickly bring customized therapies to the market, so as to further achieve the goal of precision medicine.
Deep learning
1.With high-performance AI technology, financial institutions can strengthen risk management, improve decision making and security supported by data, and enhance customer experience
2.Accelerate AI training significantly, so as to use shorter time, lower cost and faster return on investment
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Imaging and vision
geology
Animation rendering
machine learning
Computational mechanics
Financial calculation
Energy Engineering
Meteorological environment
life sciences
data warehouse
physical chemistry