HPC high-performance are oriented to high-performance computing application scenarios and are compatible with AI applications, while achieving the characteristics of high density,high performance,low power consumption,and easy management at the hardware level,it also provides users with a flexible,efficient,and easy-to-use scalable converged architecture with the help of a widely deployed management plat- form,enabling out-of-the-box use.Simplify IT infrastructure and reduce costs:Help users establish a consistent platform and flexibly switch between HPC and Al applications without migrating the platform.Improve production efficiency and work efficiency: When running tasks,multiple components coordinate with each other and dynamically adjust resources to achieve maximum resource utilization.Built-in mains- tream Al framework can quickly deploy the network,shorten preparation time, obtain real time powerful acceleration library support, and start training/inference tasks.

Program features:

Solution architecture:

Solution application:

Simulation calculation

1. Automated feature detection to identify threats from severe weather, solar storms and near-Earth objects, and how accelerated models and data assimilation technology can make more accurate predictions

2. High performance, high speed, and low latency to solve the problem of network communication during the simulation process and the need for fast access to data

life sciences

1. Meet the needs for personalized medicine, new generation clinics, and higher quality care

2. With accelerated computing, researchers can virtually build models of millions of molecules simultaneously and screen hundreds of potential drugs,thereby reducing costs and shortening problem-solving time.

3. Go further by using HPC to accelerate genomic analysis in population studies and cancer genomics studies, which can help identify rare diseases and bring customized therapies to market faster.Achieve precision medicine goals.

Financial sector

1. Leveraging high-performance Al technology, financial institutions can enhance risk management, improve data-supported decision-making and security,and enhance customer experience.

2. Dramatically accelerate Al training, resulting in shorter time, lower costs, and faster return on investment