A large hallway with supercomputers inside a server room data center.
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Malaysia is emerging as a data center powerhouse in Southeast Asia and the continent more broadly as demand surges for cloud computing and artificial intelligence.
Much of the investments have been in the small city of Johor Bahru, located on the border with Singapore, according to James Murphy, APAC managing director at data center intelligence company DC Byte.
“It looks like in the space of a couple of years, [Johor Bahru] alone will overtake Singapore to become the largest market in Southeast Asia from a base of essentially zero just two years ago,” he said.
The report said the city has 1.6 gigawatts of total data center supply, including projects under construction, committed to or in the early stages of planning. Data center capacity is typically measured by the amount of electricity it consumes.
If all planned capacity comes online across Asia, Malaysia will only be surpassed by the larger countries of Japan and India. Until then, Japan followed by Singapore currently lead the region in terms of live data center capacity.
The index did not provide a detailed breakdown of data center capacity in China.
Shifting demand
The vast majority of data center infrastructure and storage investments have traditionally gone to the established markets of Japan and Singapore, as well as Hong Kong.
However, the global pandemic expedited the world’s digital transformation and cloud adoption, leading to surges of demand for cloud providers in emerging markets like Malaysia and India, according to a report from global data center provider EdgeConneX.
“Increased demand for video streaming, data storage, and anything done over the internet or on a phone, essentially means that there’s going to be more need for data centers,” said Murphy.
Booming demand for AI services also requires specialized data centers to house the large amounts of data and computational power required to train and deploy AI models.
While many of these AI data centers will be built in established markets such as Japan, Murphy said emerging markets will also attract investments due to favorable characteristics.
AI data centers require a lot of space, energy and water for cooling. Therefore, emerging markets such as Malaysia — where energy and land are cheap — provide advantages over smaller city-states like Hong Kong and Singapore, where such resources are limited.
Spillover from Singapore
Thus, a lot of investment and planned capacity has been redirected from Singapore to the bordering Johor Bahru over the years.
Singapore recently changed its tune and laid out a roadmap to grow its data center capacity by 300 MW on the condition more projects meet green-friendly efficiency and renewable energy standards. Such efforts have attracted investments from companies like Microsoft and Google.
Still, Singapore is too small for wide-scale green power generation, thus there remain a lot of limitations on the market, said DC Byte’s Murphy.
Resource strains
While the boom in data centers has helped lift Malaysia’s economy, it’s also created concerns about energy and water requirements.
Johor Bahru city council mayor Mohd Noorazam Osman reportedly said data center investments should not compromise local resource needs, given the city’s challenges with its water and power supply.
Meanwhile, a Johor Investment, Trade, and Consumer Affairs Committee official told ST that the state government would implement more guidelines on green energy use for data centers in June.
The letters AI, which stands for “artificial intelligence,” stand at the Amazon Web Services booth at the Hannover Messe industrial trade fair in Hannover, Germany, on March 31, 2025.
Amazon said Wednesday that its cloud division has developed hardware to cool down next-generation Nvidia graphics processing units that are used for artificial intelligence workloads.
Nvidia’s GPUs, which have powered the generative AI boom, require massive amounts of energy. That means companies using the processors need additional equipment to cool them down.
Amazon considered erecting data centers that could accommodate widespread liquid cooling to make the most of these power-hungry Nvidia GPUs. But that process would have taken too long, and commercially available equipment wouldn’t have worked, Dave Brown, vice president of compute and machine learning services at Amazon Web Services, said in a video posted to YouTube.
“They would take up too much data center floor space or increase water usage substantially,” Brown said. “And while some of these solutions could work for lower volumes at other providers, they simply wouldn’t be enough liquid-cooling capacity to support our scale.”
Rather, Amazon engineers conceived of the In-Row Heat Exchanger, or IRHX, that can be plugged into existing and new data centers. More traditional air cooling was sufficient for previous generations of Nvidia chips.
Customers can now access the AWS service as computing instances that go by the name P6e, Brown wrote in a blog post. The new systems accompany Nvidia’s design for dense computing power. Nvidia’s GB200 NVL72 packs a single rack with 72 Nvidia Blackwell GPUs that are wired together to train and run large AI models.
Computing clusters based on Nvidia’s GB200 NVL72 have previously been available through Microsoft or CoreWeave. AWS is the world’s largest supplier of cloud infrastructure.
Amazon has rolled out its own infrastructure hardware in the past. The company has custom chips for general-purpose computing and for AI, and designed its own storage servers and networking routers. In running homegrown hardware, Amazon depends less on third-party suppliers, which can benefit the company’s bottom line. In the first quarter, AWS delivered the widest operating margin since at least 2014, and the unit is responsible for most of Amazon’s net income.
Microsoft, the second largest cloud provider, has followed Amazon’s lead and made strides in chip development. In 2023, the company designed its own systems called Sidekicks to cool the Maia AI chips it developed.
The logo of the cryptocurrency Bitcoin can be seen on a coin in front of a Bitcoin chart.
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Bitcoin hit a fresh record on Wednesday afternoon as an Nvidia-led rally in equities helped push the price of the cryptocurrency higher into the stock market close.
The price of bitcoin was last up 1.9%, trading at $110,947.49, according to Coin Metrics. Just before 4:00 p.m. ET, it hit a high of $112,052.24, surpassing its May 22 record of $111,999.
The flagship cryptocurrency has been trading in a tight range for several weeks despite billions of dollars flowing into bitcoin exchange traded funds. Bitcoin purchases by public companies outpaced ETF inflows in the second quarter. Still, bitcoin is up just 2% in the past month.
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Bitcoin climbs above $112,000
On Wednesday, tech stocks rallied as Nvidia became the first company to briefly touch $4 trillion in market capitalization. In the same session, investors appeared to shrug off the latest tariff developments from President Donald Trump. The tech-heavy Nasdaq Composite notched a record close.
While institutions broadly have embraced bitcoin’s “digital gold” narrative, it is still a risk asset that rises and falls alongside stocks depending on what’s driving investor sentiment. When the market is in risk-on mode and investors buy growth-oriented assets like tech stocks, bitcoin and crypto tend to rally with them.
Investors have been expecting bitcoin to reach new records in the second half of the year as corporate treasuries accelerate their bitcoin buying sprees and Congress gets closer to passing crypto legislation.
Don’t miss these cryptocurrency insights from CNBC Pro:
Perplexity AI on Wednesday launched a new artificial intelligence-powered web browser called Comet in the startup’s latest effort to compete in the consumer internet market against companies like Google and Microsoft.
Comet will allow users to connect with enterprise applications like Slack and ask complex questions via voice and text, according to a brief demo video Perplexity released on Wednesday.
The browser is available to Perplexity Max subscribers, and the company said invite-only access will roll out to a waitlist over the summer. Perplexity Max costs users $200 per month.
“We built Comet to let the internet do what it has been begging to do: to amplify our intelligence,” Perplexity wrote in a blog post on Wednesday.
Perplexity is best known for its AI-powered search engine that gives users simple answers to questions and links out to the original source material on the web. After the company was accused of plagiarizing content from media outlets, it launched a revenue-sharing model with publishers last year.
In May, Perplexity was in late-stage talks to raise $500 million at a $14 billion valuation, a source familiar confirmed to CNBC. The startup was also approached by Meta earlier this year about a potential acquisition, but the companies did not finalize a deal.
“We will continue to launch new features and functionality for Comet, improve experiences based on your feedback, and focus relentlessly–as we always have–on building accurate and trustworthy AI that fuels human curiosity,” Perplexity said Wednesday.