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    Jinli Technology

    Committed to becoming a core switch service provider

    An autonomous driving solution jointly developed with ecological partners. It provides the core driving force for autonomous driving model training through leading computing infrastructure, data management, data annotation, and model training. It efficiently builds a full-stack cluster solution from "data acquisition, storage, and processing" to "model training" and "simulation verification", solving the problems of insufficient computing power, insufficient storage resources, and difficult-to-use software for autonomous driving customers.

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    In the industrial and engineering fields, CAE (Computer Aided Engineering) has become an important tool for enterprises to drive product development and updates. High-performance computing platforms serving CAE need to support numerical simulation calculations in various disciplines such as structural analysis, fluid analysis, and electromagnetic analysis, helping enterprises to perform calculations, analysis, research, and simulations of product components, parts, entire vehicles, complete machines, and processes.

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    Industrial internet solutions integrate the powerful computing power of Inspur edge servers, adopting a "cloud-edge-end" technical architecture to achieve data interconnection, data aggregation, analysis, and processing, optimizing production processes, improving production efficiency, and helping enterprises achieve refined and efficient data management to build an integrated enterprise industrial internet platform.

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    With the rapid development of e-commerce, consumer shopping habits have undergone tremendous changes – online shopping is gradually becoming mainstream, and the market share of offline retail is shrinking. Due to the narrowing price gap between online and offline products, and the high costs of offline store rent, labor, and logistics, offline stores are under tremendous pressure. Optimizing costs, improving sales efficiency, and enhancing user experience have become essential steps for traditional retailers to increase profits.

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    With the rapid development of data centers, more and more business application components are deployed on different servers or virtual machines. These new business needs require networks with ultra-low latency and zero packet loss. They also need intelligent, dynamic, and elastic adjustment capabilities to meet customer needs in areas such as ultra-large-scale deployment, intelligent operation and maintenance, network expansion, and upgrades. Traditional closed network hardware platforms cannot meet the latest needs of data centers.

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    With the application of technologies such as artificial intelligence, big data, the Internet of Things, and virtual reality in smart campuses, more and more campus business applications are deployed on cloud platforms. Cloud platforms require high performance, high reliability, and cloud-based storage to support them. They also require storage devices to have high scalability and intelligent operation and maintenance management capabilities to meet customer needs in large-scale deployment and unified management. Traditional isolated information construction cannot meet these needs. Cloud computing data centers urgently need storage solutions that combine performance, reliability, cloud computing, scalability, and management.

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    The solution mainly consists of two sets of centralized storage, using HF5000G5 mid-range all-flash storage, or HF6000G5 and HF18000G5 high-end all-flash storage. It provides ultimate performance (up to 23 million IOPS) through all-flash NVMe SSD and SAS HDD media. The gateway-free active-active function ensures ultimate reliability of the storage system, and heterogeneous virtualization capabilities can manage most storage devices in the industry, improving resource utilization.

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    With the rapid development of the video industry, multi-scenario applications are constantly emerging. The prevalence of high-definition and ultra-high-definition video has greatly improved the user viewing experience, but it has also brought huge pressure and challenges to video coding and decoding systems. Internet video service providers and broadcast television service providers urgently need to find innovative video coding and decoding solutions to break through development bottlenecks, improve video coding and decoding efficiency, and reduce TCO.

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    In collaboration with Intel, we launched a virtual desktop solution based on Flex 170V. This solution uses the inMerge1100 hyper-converged system with Intel® Data Center GPU Flex 170V to build a cloud desktop system with high computing power. It uses advanced architecture technology to achieve innovative optimization of data center infrastructure, helping enterprises achieve performance breakthroughs and cost reduction and efficiency improvement in their cloud desktop systems.

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