D A T A C E N T R E P R E D I C T I O N S
ata centres , expected
D to account for 6 % of the world ’ s carbon footprint by 2030 , are undergoing a period of transformation , driven by the rise of AI and the pressing need to combat climate change .
With such rapid growth comes unforeseen environmental impacts , highlighting the significance of the application of AI technologies in optimising energy use .
It is undeniable that the data-intensive workloads generated by AI will see power consumption soar to unprecedented levels . However , the technology itself can help develop the next generation of data centres that are both high-capacity and more sustainable .
According to Julien Deconinck , Managing Director at DAI Magister , environmental concerns are driving the development of innovative AI solutions that optimise energy usage in data centres , while reducing operating costs .
“ Over the next five years , the amount of data generated will surpass the total produced in the past decade ,
PLAYING THE HERO AND THE VILLAIN : AI CAN LIMIT THE ENVIRONMENTAL DAMAGE IT ’ S RESPONSIBLE FOR CAUSING
“ Driven by the dual pressures of escalating computational demands and urgent sustainability imperatives , the data centre industry is experiencing a renaissance ,” says Julien Deconinck , Managing Director at DAI Magister . The potential of AI to enhance data centre sustainability has been overshadowed by the undeniable environmental impact of this technology . But is it as deadly a double-sword as we think ?
Julien Deconinck , Managing Director at DAI Magister
necessitating a significant expansion of storage capacity in data centres worldwide ,” said Deconinck . “ Another key factor contributing to this rising energy demand is the escalating computational power required for
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