FUTURE TECHNOLOGY
The iCooling system achieves this by analysing a vast amount of historical data and its impact on energy consumption to create a PUE prediction model . An optimisation algorithm then establishes the ideal parameters which are transmitted to various control systems . At Huawei ’ s cloud data centre , Langfang in North China , the deployment of iCooling resulted in a PUE that is 8 % lower , saving millions of renminbi in power costs annually .
Maximising data centre value with AI
One of the chief uses of AI is surely to improve the safety and reliability of data centres .
Before AI is introduced , the fault can be detected only after the component is faulty generally , affecting the UPS ’ s availability .
By collecting information from the power supply and distribution system , AI-powered systems can predict impending device and component failures to warn operations and maintenance ( O & M ) personnel ahead of time or to furnish additional information to aid decision-making .
On that front , the Huawei iPower intelligent power supply and distribution technology was developed to improve data centre availability .
Equipped with a response time measured in milliseconds , iPower can detect , isolate and recover from faults at sub-second speeds to eliminate fire risks and improve the reliability of a data centre ’ s power infrastructure .
It can also accurately predict battery lifespan and health , allowing preventive maintenance to be performed before they fail . In a data centre , IT devices are often deployed or removed from shelves , which brings a lot of fragmented resources , such as U space , which cannot be monitored or managed , and are easy to get wasted .
The AI-based iManager data centre infrastructure management system uses intelligent hardware and IoT sensors to keep a close eye on the data centre and reduce repetitive work through automation . The system manages resources such as power , cooling and space to optimise utilisation , relying on AI to intelligently manage the allocation , deallocation and operations of assets for improved operational efficiency and reliability . With the introduction of iManager , the resource utilisation rate is increased by 20 %.
Huawei iManager also supports network management , with centralised managing for multiple data centres across different locations . As Edge data centres grow in popularity , this can reduce the need for site visits , allowing for more efficient data centre management .
It should be no surprise that organisations that require infrastructure with the utmost reliability and performance turn to Huawei . Today , we have delivered more than 800 large data centres around the globe and provided customers with solutions that are efficient , reliable , simplified construction and smart O & M . •
About 70 % of global companies are expected to adopt at least one AI technology in the next decade and more than 50 % of global companies will adopt all AI technologies .
INTELLIGENT TECH CHANNELS
INTELLIGENT TECH CHANNELS Issue 35
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