new technologies and cooling methods will have significant capital expenditure implications going forward ,” highlights Rajesh Sennik , Partner at KPMG , who explains how AI is significantly driving demand for data centre capacity .
“ Initially , the jump in demand relates to training these models , but over time , this will shift to inference , where the model can draw conclusions from brand-new data ,” he adds . “ This will require more Edge data centre capacity as it allows data processing to be closer to where it is needed , which can reduce
THE IMPACT OF AI ON DATA CENTRES
• 57 % of data centre owners said they would trust an AI model to make operational decisions
• Training and implementing Gen AI models will cost US $ 76bn by 2028
• Data centre energy consumption is expected to increase by 12 % by 2030
( Source : Digital Realty )
114 August 2024