Архитектура с повышенной вычислительной мощностьюАрхитектура для обработки и хранения больших объемов данныхСистемы для решения критически важных задачОткрытые вычисленияПериферийные вычисленияВычислительная платформа на основе искусственного интеллекта
HPC is fueling breakthroughs across industries in science and beyond, from academia to commercial enterprises, by harnessing data to unlock insights faster and more accurately than ever before. HPC powers new capabilities in artificial intelligence and machine learning that, combined with modeling and simulation, accelerate discovery in solving our toughest challenges. Join us in St. Louis to learn how HPC is empowering innovations that were never before possible to improve everyday life across the globe.
Performance Tests of Weather Prediction Applications on 3rd Gen of Intel Xeon Scalable Processor (Ice Lake)
Qingyun Bian /HPC Application Support Engineer at Inspur
Inspur experts tested the performance of three numerical weather and climate models on Third Generation Intel Xeon Scalable Processor (Ice Lake), and compared the performance to Second Generation Intel Xeon Scalable Processor (Cascade Lake).
A large scale machine learning database of material informatics created by high performance computing (Session on the 28th HPC Connection Workshop Digital)
Qian Wang/ HPC Application Engineer at Inspur
Learn how Inspur experts construct a high-throughput computational workflow in the framework of the density functional theory, and then use it to perform all the electronic charge densities ρ(r) calculations.
As world’s leading AI computing provider, Inspur offers a broad range of cutting-edge computing platforms to empower some of the most challenging AI supercomputing tasks the world facing today.
Leading configurations, topology switching with one key
The NF5468M6 can be loaded with 2 Intel 3rd generation Xeon SP processors and up to 8 A100/A30 or 16 A10 GPUs in 4U space, which is widely used in AI public cloud and enterprise AI cloud platform, video AI and other scenarios, responding flexibly to the performance tuning needs of different AI application scenarios.Learn More
Excellent performance output, excellent eco-adaptation
The NF5468A5 supports the most current AI computing technologies and provides superior performance output, continuing Inspur's high-quality and highly compatible design with a mature ecosystem that provides professional AI customers around the world with a powerful and reliable infrastructure support.Learn More
Excellent versatility, exceptional reliability
NF5280M6 is a 2U dual-socket high-end flagship rackmount server, featured with robust computing performance and ultimate compatibility and scalability. Meeting the configuration requirements of various industries, it is suitable for data analysis and processing, distributed storage in deep learning training, etc.Learn More
4U 2-Socket Nvlink Server
6U 2-Socket Nvlink Server
2U-4Node liquid cooled server optimized for high density data center and HPC
i24LM6 is suitable for a wide variety of compute-intensive workloads including HPC, high-performance data analytics and more.
Based on its diverse experiences in AI and HPC, Inspur offers a series of agile management tools, powering AI HPC applications from development to production.
Agile AI Development Platform
Inspur AIStation is designed to provide complete AI development software stack, unified management of AI computing resources and simplified shift of AI models from development to production. It has been adopted by a wide range of industries users, accelerating AI transformation.
Efficient HPC Cluster Management Tool
Inspur ClusterEngine offers integrated management of HPC clusters, including hardware monitoring, job scheduling, HPC and Bid Data applications management and so on. It has been widely adopted to improve resource utilization of the entire HPC system within one overview dashboard.
AI Application Profiling and Performance Tuning Tool
Inspur T-Eye is management tool used to analyze AI applications performance features of hardware and system resources running on GPU clusters, revealing running features, hotspots and bottlenecks of these applications.