Give two examples:
1)The data center of a certain e-commerce enterprise automatically shuts down the temporarily expanded server resources of the intelligent PDU after the peak promotion period ends every night, and opens the customer service system server at a scheduled time every morning to welcome business inquiries for the new day. This not only saves manpower but also optimizes power distribution.
2) A cloud computing data center discovered through intelligent PDU data analysis that some servers have lower loads during non peak hours, but still consume electricity at rated power. So the team utilized the remote control function of the intelligent PDU to appropriately reduce the server power supply voltage during these periods, which not only did not affect the normal operation of the equipment, but also reduced unnecessary energy consumption. According to statistics, the overall energy consumption of the data center has been reduced by 15%, and the PUE value (power efficiency, the ratio of total energy consumption of the data center to IT equipment energy consumption, the lower the energy consumption, the more energy-efficient) has been optimized from the original 1.8 to 1.53, saving hundreds of thousands of yuan in electricity expenses annually, with significant energy-saving effects.
3.AI+PDU
In recent years, AI technology has developed vigorously, and intelligent PDUs have evolved again. Now, with the help of AI algorithms, AIPDU can conduct in-depth analysis of massive power data, equipment operation data and environmental data, and automatically learn and predict equipment power consumption patterns and potential failure risks. It is called to predict the abnormal current fluctuation caused by the server hard disk failure in advance, issue an early warning in time before the failure occurs, and automatically isolate the problem equipment to prevent the spread of the failure. It can also provide the optimal power distribution strategy for the data center based on historical data and real-time load, dynamically adjust the power supply parameters of each cabinet and equipment, and realize the maximum utilization of power resources.
The intelligent PDU empowered by AI has become the intelligent “brain” of the power supply and distribution side in data centers, leading the power operation and maintenance management of data centers into a new stage of AI empowerment and laying a solid foundation for the vigorous development of the digital economy.
In summary, the evolution from ordinary PDU to AI PDU is an inevitable choice for data centers to adapt to the explosion of computing power. It not only ensures the stable operation of data centers, but also creates huge value for enterprises in various aspects such as energy conservation and efficiency improvement, intelligent operation and maintenance, and business expansion. With the continuous integration and breakthroughs of technologies such as the Internet of Things, artificial intelligence, and green energy, AI PDUs will surely open a more brilliant chapter and continue to empower the flourishing development of the data center industry.