Computing Power Solution for Intelligent Production Line Inspection - Solution

Business Challenges

Need for edge computing capabilities

Servers must integrate AI technology to intelligently process data at the source, achieving preliminary reasoning, reducing dependence on data centers, and improving response speed.
Need for scalability and cloud-edge collaboration capabilities

Servers should be easy to integrate with existing manufacturing systems and equipment, and have good scalability to adapt to future production line upgrades and expansion needs; they need to work in conjunction with cloud computing platforms to achieve a combination of edge processing and cloud analysis.
Need for high energy efficiency and strong environmental adaptability

The industrial site environment is relatively harsh, and servers operate continuously, requiring adaptation to adverse conditions such as temperature, humidity, and vibration, while reducing energy consumption costs and saving expenses for manufacturing enterprises.

Solutions

The Shenzhou Kuntai Edge AI Server is an ARM-based artificial intelligence computing server launched by Digital China, featuring the Kunpeng processor and Ascend AI processor. This server boasts powerful computing capabilities, supports all-scenario AI, and offers an open ecosystem. It is primarily designed to provide solutions for image recognition, video processing, inference computation, and machine learning, and is widely used in the smart manufacturing sector.

Built on the Kunpeng + Ascend server, provides strong intelligent computing power while saving power consumption.

It can run continuously in an ambient temperature of 5°C~50°C, and the compact body is easy to deploy in narrow spaces.

Open ecosystem, compatible with a variety of sensors and processors in the intelligent patrol system, easy to deploy.

Client Value

Able to quickly process and analyze data, reduce data transmission time, achieve near-real-time inference calculation and response, reduce the need to transmit large amounts of data to central data centers, thereby reducing bandwidth costs.

Low energy consumption helps to reduce long-term operating costs and is more environmentally friendly.

Flexible horizontal or vertical expansion according to business needs to adapt to changing workloads.