DATA CENTRES
each other – meaning that ‘ edge AI ’ may become more commonplace . Therefore , the proximity of AI-driven technology to ‘ point of use ’ will become more critical , as Adam explains .
“ This is especially the case for real time functions where localised processing and decision making can take place ,” he says .
Confronting the sustainability dilemma Although AI presents myriad opportunities for innovation within the data centre sector , its demand for computers leads to the inevitable issue of excess power consumption . As it requires more processing power , running AI models will place additional strain on infrastructure . To mitigate this , designing facilities with AI in mind is essential .
“ Embracing a more circular economyled design and operational principles utilising the bi-products of data
“ There will be a shift away from metro location sites to areas that can better meet the needs of AI workloads ”
ANNA KRISTÍN PÁLSDÓTTIR CHIEF DEVELOPMENT OFFICER , ATNORTH
centres to support local communities is essential ,” Alex explains . “ If these technologies are embraced , the net impact of these new AI workloads can be managed .”
Such high levels of energy use is unable to reduce carbon footprint
82 December 2024