Starting from 2020, the implementation practice of edge computing applications has begun to be intensive. In this process, some typical scenarios of edge computing are being formed, such as its application in smart manufacturing and smart cities is "real". The edge computing indu

Since 2020, the implementation practice of edge computing applications has begun to be intensive. In this process, some typical scenarios of edge computing are being formed, such as its applications in smart manufacturing and smart city are all "real".

edge computing industry ushered in a critical period of development

In the manufacturing industry, industrial quality inspection is a hot application in recent years. Edge computing combines machine vision and AI algorithm to realize intelligent defect detection on a large number of industrial products from cars to mobile phones, from steel plate to bearing , and the defect detection rate of some products has reached more than 99%.

In the field oil field scenario, the oil content of some oil fields that have been mined for many years has gradually decreased. The oil pump (commonly known as kowtow ) operates at the traditional constant speed, has low oil production efficiency and high energy consumption cost. Edge computing combines equipment operation and production working conditions data to find the appropriate oil production frequency and intelligently start and stop the kowtow machine. Under this arrangement, oil extraction efficiency is higher and more power-saving.

In smart parking scenarios, based on edge computing and AI algorithms, parking deductions can be automatically completed based on vehicle information in just 0.05 seconds. The parking lot realizes fast parking payments, timely detection of abnormal states such as fire, smoke, and long-term occupancy of parking spaces.

factory intelligent quality inspection, intelligent start and park of oil pumps on oil fields, and smart parking in parking lots in cities are just "a drop in the ocean" in massive edge computing scenarios.

Industry insiders believe that in terms of technology and business, edge computing has reached a suitable investment time point, and the industry will usher in a critical period of development.

In terms of technology, edge computing provides an important landing carrier platform for cloud, AI, 5G and the Internet of Things. Among them, AI starts to extend to the edge from the data center, becoming an important driving force for edge computing.

In the commercial aspect, in the era of Internet of Things, many emerging applications have put forward processing needs of low latency, high bandwidth, localization, high security and low cost, which has also driven edge computing on the side of data generation to "face difficulties". Some factories include due to their sensitivity to data, and do not want to go to the cloud, and can meet their processing needs through edge computing.

IDCh predicts that in the next five years, the investment in edge computing will be much higher than the core position. By 2025, the proportion of global edge computing server expenditure will increase from 14.4% to 24.9%.

Lenovo provides a complete set of software and hardware solutions

Facing massive data from the edge side and complex and diverse application scenarios, enterprises have improved performance requirements for edge computing devices. The SE550 V2 server launched by Lenovo has advantages such as powerful performance, rich expansion capabilities and stable reliability, and is being favored by more and more customers.

As a dual-way edge server equipped with Intel® Xeon® scalable processors, the Lenovo SE550 V2 server not only meets the many standards of operators' OTII edge servers, but also provides users with a complete set of solutions from software to hardware, in line with Lenovo's "end-edge-cloud-network-intelligence" capabilities. In addition, Lenovo SE550 V2 can also provide strong computing power support for user virtualization, database, cloud computing and AI application scenarios like ordinary rack servers.

SE550 V2 server inherits Lenovo's highly flexible and scalable product design concept, has rich expansion capabilities, and can flexibly adapt to the business needs of different enterprises. Lenovo SE550 V2 server supports 16 DDR4 memory slots, memory frequency can support up to 3200 MHz, and the entire machine memory can be expanded to 1TB. In terms of hard disk capacity, Lenovo SE550 V2 supports up to eight 2.5-inch hot-swap hard disks , and up to two built-in M.2 high-speed solid-state hard disks . Combined with Lenovo Anybay technology, SAS/SATA/NVMe hard disks can be flexibly mixed and matched in the same drive bay to achieve flexible expansion.

Edge Server is the first site for infinitely close data generation. It may not only be placed in a corner with a small space, but also face harsh scenarios such as extreme cold, extreme heat, wind and sand, dust, lightning strikes, etc. Such an environment puts high requirements on the reliability of edge servers and requires strong environmental adaptability. The Lenovo SE550 V2 server adopts a short chassis design, which can save deployment space compared to the traditional rack server . In addition, this rugged edge server can withstand continuous working temperatures from 5°C to 45°C, and can also shoulder the heavy responsibility in extremely cold and extremely hot environments, making it stable online. At the same time, the Lenovo SE550 V2 server also passed the 8- and 9 intensity seismic performance test, which can ensure data security and stable use in extreme cases.

Based on the above advantages, Lenovo SE550 V2 server can release powerful computing power at the edge, ignite smart scenarios for typical applications such as edge artificial intelligence , edge network, edge cloud, edge acceleration, etc., and can provide intelligent edge computing services for industries with many edge usage scenarios such as smart manufacturing, smart transportation, smart retail, smart education, energy, communication, etc., help enterprises fully tap the value of edge data and better cope with the challenges in the process of digital transformation .

In the future, Lenovo will continue to make comprehensive efforts in the field of intelligent infrastructure to provide more diversified and scenario-based edge computing products, services and solutions, help more industry partners achieve intelligent industrial upgrading and promote the high-quality development of digital China .

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