CLOUD & COLOCATION
“ SIN01 shows how quickly AI is coming up and that it can help”
INDIA OLIVEIRA, SUSTAINABILITY MANAGER AT START CAMPUS, START CAMPUS
announced an € 8.5bn( US $ 8.8bn) investment to accelerate campus development.
Furthermore, Portugal’ s strategic advantages extend to competitive energy costs compared to other European markets, backed by significant renewable energy capacity – and this combination has enabled Start Campus to secure over 1GW of grid power – a rare achievement in a European market where power availability constraints have become the primary limiting factor for data centre growth.
The future of AI data centre infrastructure As the AI revolution accelerates, the construction methodology pioneered at SIN01 is already influencing how the industry approaches large-scale deployment. The traditional approach of on-site construction is proving inadequate for the speed and scale demanded by AI infrastructure development.
“ What we see is that the way we’ re constructing data centres doesn’ t change the equipment itself, but the way that we build data centres,” Pablo says.“ We are moving into more standardised and more prefabricated solutions so we can, when deploying such a large infrastructure, see logistics become a real topic.
“ The more you can standardise, the more you can really replicate standard modules – and the faster you’ re going to be able to deploy onsite, the more you’ re going to reduce the time to start up and commission the data centres.”
He continues:“ If you go to a traditional data centre that is under construction, you see plumbers working with electricians and a lot of people interfering at the same time.
“ If you want to deploy at scale with the speed that we need, it’ s no longer possible to have that traditional way of building. So moving in with the same equipment, but having these standardised and prefabricated solutions for me is the only way to do it.
“ Which by the way, also reduces the CO2 emissions because you can simplify all the logistic flows and you can also optimise those logistic flows.”
How SIN01 has achieved balancing growth with responsibility The integration of AI workloads into SIN01 has actually improved its environmental efficiency.
“ When we first designed this building, we didn’ t have AI in our model or in our slogan,” India explains.
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