Why did Google choose to build a data center in Singapore and Taiwan?

Currently, Google has only 2 data centers in Asia, located in Singapore and Taiwan. Why did the Internet search giant choose this country?

In the last 3 months of 2014, Asian Internet growth is equal to the population of Canada. This impressive growth rate is the reason why Google wants to establish a presence in the Asia-Pacific region (APAC), according to Joe Kava, vice president of Google data center.

In a conference in the same year, Kava noted that more than half of the world's population lives in Asia, accounting for nearly half of global Internet users. Every day, there are more new Internet users at APAC than any other area, the perfect motivation for Google to place data centers closer to the customers they are serving, especially when this is also the place. Many people are not online yet.

Picture 1 of Why did Google choose to build a data center in Singapore and Taiwan?
Google data center located in Singapore is expanding (circled area).

In 2013, Google opened two data centers at APAC, located at Jurong West (Singapore) and Changhua (Taiwan). Although they are designed and built at the same time, they are extremely different. Singapore data center is built on an area of ​​more than 24,000 square meters while Taiwan is nearly 150,000 square meters. By 2015, Google announced expanding its data center in Singapore to a second larger facility next door. Also in 2013, Google abandoned plans to build a third center in Hong Kong. According to TechCrunch, if considering land prices in Asia, the expansion of existing centers is preferred rather than opening a brand new center.

Mr. Joe Kava explained the reason for choosing Singapore as a data center building: 'We look at a number of factors such as net neutrality , business environment and data privacy. Singapore is an easy choice if evaluating all these things and they are one of the top countries in our list in Asia. '

It seems he is not afraid of the hot and humid climate here because some other Google data centers are also facing the same challenge. The important thing is that it must be designed right from the beginning. However, despite the enthusiasm for Singapore, he admitted building a center much easier if there was more land. Land restrictions and other regulations forced Google to build the first high-level data center here.

On the Google website, the company also stated the reasons for choosing Singapore: it is the country that brings the perfect combination of reliable floor weighting facilities, skilled workforce and business-friendly regulations. , commitment to transparency.

Singapore also has a vibrant Internet economy; The center is one of the fastest growing Internet markets in the world where millions of people use it every day to search for information, entertainment, new business opportunities and interact with friends and family.

Meanwhile, the data center located in Taiwan is designed to be the most environmentally friendly and efficient center.This place uses a heat storage system and night cooling.

Picture 2 of Why did Google choose to build a data center in Singapore and Taiwan?
Google data center is located in Taiwan.

The system works as follows: cooling water at night, when the temperature is lower, storing cold water in large containers to maintain the temperature before pumping out the whole facility to cool the server throughout the day. A group of more than 60 full-time Google employees helps center operations alongside many part-time or full-time contract employees.

About the reasons for choosing Taiwan, Google wrote on the website: Taiwan is a high-tech center with a history of supporting foreign initiatives and investments, right in the heart of Asia. To power the high-tech industry and the Internet economy, Taiwan invests heavily in world-class infrastructure, talents and a stable legal environment.

Like all other centers around the globe, deciding to choose Chuanghua is based on a rigorous, thorough evaluation process, taking into account many factors such as location, infrastructure, human resources and business regulations. reasonable and cost.

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