for compute power soar . There ’ s also a crossover where AI is deployed in a traditional HPC workflow to make the research more productive .”

In short , the more data that we need to collect , manage and store , the more beneficial the processing power of AI becomes . And , the more AI is deployed across industries , the more we ’ ll need the aid of AI to improve data centre efficiency .

Despite common knowledge , however , this is not a new development . In fact , the use of AI technology in data centres goes as far back as 2014 , when Google announced that it was using DeepMind ’ s AI technology to enhance the way that it managed its data centre equipment .

What advantages can AI technologies bring to data centres ? As the global data demand continues to soar , the pressure that ’ s being placed on data centres is immense .

In order to cater to the data requirements of AI , the cloud , ML and all their sibling technologies , data centres need to either build new sites – and then navigate the sustainability criticism fallout – or improve their efficiencies .

“ AI and automation have proven to be powerful tools in workload management , as it frees employees from time-consuming and mundane tasks and allows them to focus on work that actually requires a human ,” outlines Jeff Kavanaugh , Head of the Infosys Knowledge Institute .

In fact , a recent INAP survey revealed that 81 % of IT professionals predicted that , by 2025 , most data centre and network tasks will be completely automated .

NOAM ROSEN EMEA DIRECTOR

FOR HPC & AI , LENOVO

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