Mr Chang also shared that at this stage, “we currently have only two data centres operational at 60MW, as the older and less energy efficient ones will be phased out”.
Meanwhile, other new and sustainable AI data centres are still being built in Singapore and across the region, said Mr Chang.
When these are completed over the next few years, they will raise Nxera’s capacity beyond 200MW, he said.
“For now – all I can say is: Watch this space,” he added.
Mr Chang elaborated on some of the targets that Nxera will need to meet in the interim.
“For one, we are committed to reducing our carbon emissions to meet our operational net-zero target in emissions by 2028 and to do this, we aim to make all our data centres the most sustainable and energy efficient in the region to power the AI revolution.”
A data centre is perfectly efficient if its PUE (power usage effectiveness) is exactly 1, such that the only power being used is for the computing equipment, while nothing is wasted on any other uses.
“We will leverage our experience with DC Tuas, which is expected to have a full-load PUE of 1.23, and replicate that across all our data centres,” Mr Chang said.
On the talent front, a Regional Sustainable Data Centre Academy will be formed by mid-2024 with the Singapore Institute of Technology and the Nanyang, Singapore and Temasek polytechnics, as well as the Institute of Technical Education, as Nxera’s initial partners.
“While all five institutions have existing data centre-related course work, we want to help shape the curriculum and support everyone from undergrads to those undertaking continuing education – from our own employees to those of our partners and suppliers,” said Mr Chang.
“The goal is to produce at least 150 professionals annually – from skilled technicians, all the way through to those doing their master’s degree.”
Mr Chang said the company will not only jointly develop curriculum and training programmes with these institutions, but will also provide opportunities for the students to gain hands-on experience through internships.
Commenting on the hype surrounding AI at the moment, Mr Chang said he believes that the industry is still at an early stage.
He likened it to the “Palm Pilot moment”, just before smartphones took the world by storm.
“We will probably see AI become mainstream in under five years,” he said.