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Hello reader,
“Singapore is so small and boring, there’s nowhere to go and nothing to do.”
If I got a dollar for every time I heard this sentence, well… I might not be a millionaire, but I’d probably have enough to buy a plate of chicken rice or two.
The country’s small size is an unavoidable reality, and its government and people have always tried to adapt to this and maximize limited resources. Land reclamation projects, attempts to convert public infrastructure for other purposes, and more have long been a part of these efforts.
In the case of data centers, maximizing them means Singapore has to refine what it uses them for. This allows data centers to create a greater impact despite the space constraints. Today’s story takes a look at these developments in the city-state.
Today we look at:
- Singapore’s evolving data center landscape
- Temasek’s returns for its latest financial year
- Other newsy highlights such as a US$74 million investment for Hi-P and the top generative AI infrastructure services providers in China
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Image credit: Timmy Loen
Data centers in Singapore may be taking a step up. Many of them are potentially being converted into AI-enabled facilities. But what kind of impact would this have on the country?
- Spreading the love: Large-scale cloud platforms like Google and Amazon account for 70% of data center usage in Singapore. These firms will likely convert the city-state’s data centers to process AI workloads while shifting more traditional workloads to Malaysia and Indonesia.
- Laying the groundwork: Local data center players such as Nxera, which is run by Singtel, are already upping their game. Indeed, Nxera has a 58 megawatt project in the works that will double its operational capacity in Singapore to 120 megawatts once it’s completed in 2025.
- A leg up: Singapore’s advantage over others in the region is the fact that it offers business certainty. For instance, data center operators in Indonesia have faced foreign ownership limits along with other risks.
Read more: Singapore’s data center crunch could drive sector’s AI focus
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