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Behind highly secured doors in a giant lab in the Netherlands, there’s a machine that’s transforming how microchips are made. ASML spent nearly a decade developing High NA, which stands for high numerical aperture. With a price tag of more than $400 million, it’s the world’s most advanced and expensive chipmaking machine. 

CNBC went to the Netherlands for a tour of the lab in April. Before that, High NA had never been filmed, even by ASML’s own team.

Inside the lab, High NA qualification team lead Assia Haddou gave CNBC an exclusive, up-close look at the High NA machines, which she said are “bigger than a double-decker bus.” 

The machine is made up of four modules, manufactured in Connecticut, California, Germany and the Netherlands, then assembled in the Veldhoven, Netherlands, lab for testing and approval, before being disassembled again to ship out. Haddou said it takes seven partially loaded Boeing 747s, or at least 25 trucks, to get one system to a customer.

The world’s first commercial installation of High NA happened at Intel‘s Oregon chip fabrication plant, or fab, in 2024. Only five of the colossal machines have ever been shipped. 

They’re now being ramped up to make millions of chips on the factory floors of the few companies that can afford them: Taiwan Semiconductor Manufacturing Co., Samsung and Intel. 

High NA is the latest generation of ASML’s Extreme Ultraviolet, or EUV, machines. ASML is the exclusive maker of EUV, the only lithography devices in the world capable of projecting the smallest blueprints that make up the most advanced microchips. Chip designs from giants like Nvidia, Apple and AMD can’t be manufactured without EUV.

ASML told CNBC that High NA will eventually be used by all its EUV customers. That includes other advanced chipmakers like Micron, SK Hynix and Rapidus.

“This company has that market completely cornered,” said Daniel Newman of The Futurum Group.

High NA chipmaking machine in Veldhoven, Netherlands, on April 24, 2025.

Magdalena Petrova

CNBC asked CEO Christophe Fouquet what’s stopping ASML from setting the price of its machines even higher. He explained that as machines advance, they make it cheaper to produce the chips themselves. 

“Moore’s law says that we need to continue to drive costs down,” Fouquet said. “There is a belief that if you drive costs down, you create more opportunity, so we need to be part of this game.”

Two major customers have confirmed that High NA has shown big improvements over ASML’s previous EUV machines. At a conference in February, Intel said it had used High NA to make about 30,000 wafers so far, and that the machine was about twice as reliable as its predecessors. At that same conference, Samsung said High NA could reduce its cycle time by 60%, meaning its chips can complete more operations per second.

‘A very risky investment’

High NA can drive chip prices down because of these improvements in speed and performance. High NA also improves yield, meaning more of the chips on each wafer are usable.

That’s because it can project chip designs at a higher resolution. High NA uses the same process as EUV machines but with a larger lens opening that allows for projection of smaller chip design in fewer steps.

“High NA means two things. First and foremost, shrink. So there’s more devices on a single wafer,” said Jos Benschop, ASML’s executive vice president of technology. “Secondly, by avoiding multiple patterning, you can make them faster and you can make them with higher yield.”

Benschop joined ASML in 1997, two years after it became a publicly traded company. Benschop then helped drive the decision to go all in on EUV. The technology took more than 20 years to develop.

ASML executive VP of technology Jos Benschop gave CNBC’s Katie Tarasov a look at High NA chipmaking in Veldhoven, Netherlands, on April 24, 2025.

Magdalena Petrova

“We barely made it. I think sometimes people forget that,” Fouquet said. “It’s been a very risky investment because when we started, there was no guarantee the technology would work.”

By 2018, ASML proved the viability of EUV and major chipmakers started placing big orders for the machines. The idea, which seemed impossible to many two decades ago, was to create large amounts of tiny rays of extreme ultraviolet light, projecting it through masks with increasingly small chip designs, onto wafers of silicon treated with photoresist chemicals. 

To create the EUV light, ASML shoots molten tin out of a nozzle at 50,000 droplets per second, shooting each drop with a powerful laser that creates a plasma that’s hotter than the sun. Those tiny explosions are what emit photons of the EUV light, with a wavelength of just 13.5 nanometers.

About the width of five DNA strands, EUV is so small that it’s absorbed by all known substances, so the whole process has to happen in a vacuum. The EUV light bounces off mirrors that aim it through a lens, much like how a camera works. To solve for EUV getting absorbed by mirrors, German optics company Zeiss made specific mirrors just for ASML that are the flattest surfaces in the world. 

ASML’s older generation DUV machines use less precise rays of deep ultraviolet light with a wavelength of 193 nanometers. ASML still makes the machines — competing against Nikon and Canon in Japan on DUV — but it is the only company in the world that’s succeeded at EUV lithography.

The Dutch company began developing the $400 million High NA machines around 2016. High NA machines work the same as DUV, with the same EUV light source. But there’s one key difference.

The higher numerical aperture of High NA means it has a larger lens opening, increasing the angle at which the light is captured by the mirrors. More light coming in from steeper angles allows High NA machines to transfer increasingly small designs onto the wafer in one step. By comparison, lower NA machines require multiple projections of EUV light, through multiple masks.

“When the number increases, it gets very complex process-wise and the yield goes down,” Fouquet said. 

Resolution improves as NA increases, bringing down the need for multiple masks and exposures, saving time and money. The cost of the High NA machine, however, goes up.

“The bigger the mirror you have to use and therefore the bigger the system,” Fouquet said.

These machines also take up a huge amount of power.

“If we don’t improve the power efficiency of our AI chips over time, the training of the models could consume the entire worldwide energy and that could happen around 2035,” Fouquet said. That’s why ASML has reduced the power needed per wafer exposure by more than 60% since 2018, he said.

ASML’s Assia Haddou shows CNBC’s Katie Tarasov a High NA chipmaking machine in Veldhoven, Netherlands, on April 24, 2025.

Magdalena Petrova

China, tariffs and U.S. growth

ASML is known for its groundbreaking EUV machines, but its older DUV machines still made up 60% of business in 2024. ASML sold 44 EUV machines last year, with a price tag starting at $220 million. DUV machines are far cheaper, ranging from $5 million to $90 million, but ASML sold 374 of the legacy machines in 2024.

China is a major buyer of those DUV systems, making up 49% of ASML’s business in the second quarter of 2024. Fouquet told CNBC this peak in sales to China came because of a “huge backlog” in orders that ASML wasn’t able to fill until last year. He said business in China should be back to the “historical normal” of between 20% and 25% in 2025.

U.S. export controls prevent ASML from selling EUV to China. It’s a ban that started under the first Trump administration. Newman of The Futurum Group said it’s a “real long shot” that China could develop its own EUV machines, instead making devices like smartphones using the most advanced chips possible with DUV. 

U.S. concern over advanced tech making its way to China has accelerated amid the generative artificial intelligence race. That boom has also sent chip stocks soaring, including ASML’s, which hit an all-time high in July.

ASML’s share price has declined more than 30% since, as the chip industry faces key uncertainties such as President Donald Trump‘s tariffs.

Benschop told CNBC that ASML simply doesn’t know how tariffs will impact the company. With about 800 global suppliers, tariff implications for ASML are complex.

Making a single High NA machine requires many steps of imports and exports. The machine’s four modules are made in the U.S., Netherlands and Germany, then they’re shipped to the Netherlands for assembly and testing, where they’re disassembled again for shipment to chip fabs in places like the U.S. or Asia.

For years, Asia has made up more than 80% of ASML’s business. The U.S. share sat around 17% in 2024 but is growing fast. ASML has 44,000 employees globally, and 8,500 of them are based in the U.S. across 18 offices.

Many of ASML’s 2024 High NA shipments went to Intel, which is building new fabs in Ohio and Arizona. The U.S.-based chipmaker has struggled in recent years, but Fouquet said that Intel remains a “formidable partner” for ASML and that it’s “very critical” for U.S. semiconductor independence.

Taiwan-based TSMC is far ahead of Intel in advancing chip nodes. CNBC recently visited TSMC’s new fab north of Phoenix, which is now in volume production. As the most advanced chip fab on U.S. soil, the need for High NA there will likely come soon.

ASML, meanwhile, is building its first U.S. training center in Arizona. Fouquet told CNBC it will open in the “next few months” with a goal of training 1,200 people on EUV and DUV each year. It’s “a capacity that will not only meet what is needed in the U.S., but will be used also to train even more people worldwide,” he said.

The Dutch company plans to further increase the numerical aperture on its next machine, Hyper NA. 

Fouquet told CNBC that ASML has some draft optical designs for this next machine, and that, “it’s not necessarily a difficult product.” He expects the need for Hyper NA to come “between 2032 and 2035.” He wouldn’t speculate on price.

For now, ASML is focused on meeting demand for High NA. It plans to ship at least five more systems this year and ramping to a production capacity of 20 machines in a few years.

Watch the video to see High NA in action.

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SoftBank leads decline in Japanese tech stocks as worries over AI spending spill over to Asia

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SoftBank leads decline in Japanese tech stocks as worries over AI spending spill over to Asia

TOKYO, JAPAN – FEBRUARY 03: SoftBank Group CEO Masayoshi Son delivers a speech during an event titled “Transforming Business through AI” in Tokyo, Japan, on February 03, 2025. SoftBank and OpenAI announced that they have agreed a partnership to set up a joint venture for artificial intelligence services in Japan.

Tomohiro Ohsumi | Getty Images News | Getty Images

Japanese tech stocks took a tumble on Thursday as AI infrastructure spending worries on Wall Street crossed the ocean into the Asian markets, with AI-related stocks declining.

Softbank Group Corp was among the top losers in the benchmark Nikkei 225, falling as much as 7.25%, with the index leading losses in Asia, down 1.23%. The group pared some losses and was last trading 3% lower.

This decline comes as the tech-heavy Nasdaq Composite fell 1.81% overnight, dragged by losses in Oracle, Broadcom, Nvidia and other AI plays.

The losses in Oracle came after the Financial Times reported on Wednesday that Blue Owl Capital’s plans to finance the cloud infrastructure company’s $10 billion Michigan data center had stalled. The company last week had refuted a report that said it had delayed some projects for AI major OpenAI to 2028.

Tech-focused SoftBank has seen sharp volatility in its stock over the past month as fears over AI-related spending have gripped the market.

At the start of the year, the group had revealed plans to invest $500 billion in AI infrastructure in the U.S. along with OpenAI, Oracle and other partners, and in September it announced five new U.S. AI data center sites under Stargate, OpenAI’s overarching AI infrastructure platform.

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Other Japanese tech stocks also fell. Semiconductor equipment supplier Advantest, dropped as much as 5%. Counterparts Lasertec, Renesas Electronics and Tokyo Electron declined between 3% and 4%.

Jesper Koll, expert director at Tokyo-based financial services firm Monex Group, said much of what goes into data centers, power centers, and AI hardware enablers is “Made in Japan, and can only be made in Japan.” That makes Japanese tech, especially AI-related stocks more vulnerable to any worries around U.S. tech spending.

On Wednesday, Japan’s trade numbers showed that exports of electrical machinery jumped 7.4%, and semiconductor-related exports surged 13% year on year. Koll said the U.S.-led boom in tech spending was translating into growing exports of specialized machinery and equipment.

Losses were less pronounced in South Korean chip heavyweight Samsung Electronics at 0.93%, while SK Hynix reversed course to gain 0.73%. Taiwan’s TSMC, the world’s largest contract chip manufacturer, was marginally down.

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CNBC Daily Open: Concerns over Oracle’s debt spill over into its projects

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CNBC Daily Open: Concerns over Oracle's debt spill over into its projects

A view of Oracle’s headquarters in Redwood Shores, California.

Justin Sullivan | Getty Images

The apprehension investors have surrounding Oracle has spilled over from manifesting in its stock price — which has fallen nearly 50% from its all-time high on Sept. 10 — to affecting its projects.

Asset management firm Blue Owl Capital reportedly pulled out from Oracle’s $10 billion data center project over unfavorable debt terms, according to the Financial Times, as concerns about the tech giant’s high level of debt mount.

The latest development adds fuel to worries that Oracle could delay the completion of data centers for OpenAI, which were first flagged by Bloomberg on Friday, though the cloud company has denied the report.

Shares of Oracle fell 5.4% Wednesday, putting its month-to-date losses more than 11%. They weighed down related names, such as Broadcom Nvidia and Advanced Micro Devices.

As a result, major U.S. indexes fell. The S&P 500 retreated 1.16% and the Dow Jones Industrial Average dropped 0.47%, while the Nasdaq Composite lost 1.81% in its worst day in nearly a month.

Despite the recent pullback in artificial intelligence stocks, the Bank of America thinks “the AI trade may still have room to run into 2026” — with the important caveat that shares going up does not mean a bubble isn’t forming.

“In our view, such progression validates our thesis that a larger AI bubble continues to build,” analysts at Bank of America wrote.

The trouble, as always, is pinpointing the exact moment before the bubble pops — if that’s even possible.

— CNBC’s Jaures Yip contributed to this report.

What you need to know today

And finally…

A projected illumination marking the 75th anniversary of the Schuman Declaration, on the Grossmarkthalle building at the European Central Bank headquarters in Frankfurt, Germany, on May 9, 2025.

Alex Kraus/Bloomberg via Getty Images

Three holds and a cut? Europe’s central banks are about to make their final calls of 2025

Investors are gearing up for the last interest-rate decisions of 2025, with four of Europe’s central banks announcing their monetary policies and macroeconomic outlooks on Thursday.

The European Central Bank, Bank of England, Riksbank and Norges Bank are all meeting, but only one of them is expected to change its rate.

— Holly Ellyatt and Annette Weisbach

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MetaX and Moore Threads’ IPOs underscore Chinese chipmakers’ growing challenge to Nvidia

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MetaX and Moore Threads' IPOs underscore Chinese chipmakers' growing challenge to Nvidia

MetaX booth at the Shanghai New Expo Center in Shanghai, China, on July 26, 2025. (Photo by Ying Tang/NurPhoto via Getty Images)

Nurphoto | Nurphoto | Getty Images

It felt like déjà vu when shares of chipmaker MetaX Integrated Circuits soared 700% in its Shanghai market debut on Wednesday. Moore Threads surged over 400% on its first day of trading just two weeks earlier.

They’re the latest Chinese AI chip companies the country’s investors are ploughing money into, as it races to develop its own semiconductors and challenge Nvidia’s dominance in the face of U.S. export curbs.

Both are developing graphics processing units (GPUs), the type of chip manufactured by Nvidia and used for advanced AI.

Investor enthusiasm around Chinese AI-chip IPOs is partly shaped by longer-term expectations that China will build a self-sufficient semiconductor ecosystem as tensions with the U.S. continue, Macquarie’s equity analyst Eugene Hsiao told CNBC.

Inside Hong Kong’s ‘multiverse bull market’: Concentrated rallies versus macro risks

Washington has barred sales of Nvidia’s most advanced semiconductors to the country. While U.S. President Donald Trump relaxed export curbs for some Nvidia chips, regulators in the country were planning to limit access to the company’s processors, the Financial Times reported earlier this month, as it looks to wean itself off overseas tech in the AI race. 

None of China’s AI chipmakers — which include a cohort of tech giants like Huawei, Alibaba and Baidu — have been able to develop processors comparable to Nvidia’s most advanced so far.

But while significant barriers remain in overcoming export control restrictions in some areas of its chip supply chain, like equipment, it’s made significant strides in others, such as memory. 

Here’s how the market of China’s AI chip Nvidia rivals is shaping up.

Huawei

Privately-owned tech giant Huawei develops the Ascend series of chips, with its next-generation model, the 950, to be launched in 2026. Nvidia told CNBC that “competition has undeniably arrived” when the new systems were announced.

While its previous Ascend models have not been considered competitive with Nvidia’s on a chip-by-chip basis, Huawei has been able to build high-performance “clusters” to rival the US chipmaker’s most advanced systems by linking more of its processors.

“This strategy relies on high-speed, potentially optical interconnects to move data quickly across large clusters – a setup that doesn’t require top-end chips and therefore suits China’s current strengths,” Brady Wang, associate director at Counterpoint Research, told CNBC in November.

Nvidia CEO Jensen Huang calls Huawei a formidable competitor

Baidu

China’s biggest search platform, Baidu, has increasingly funneled more resources into AI and is a majority shareholder in chip designer Kunlunxin. In November, the company unveiled a five-year roadmap for its Kunlun AI chips, unveiling new processors in 2026 and 2027.

Baidu, which is traded on the Nasdaq, uses a combination of self-developed chips and Nvidia products in its data centers to run its in-house AI models. The company has looked to position itself as a “full-stack” provider, producing chips, servers, data centers, and AI models and applications.

“Kunlunxin has emerged as a leading domestic AI chip developer, focusing on high-performance AI chips for large language model (LLM) training and inference, cloud computing, and telecom and enterprise workloads,” analysts at Deutsche Bank said in a note in November.

JPMorgan said in a November note that it viewed the Kunlun AI chip as one of the “best-positioned” as Chinese hyperscalers increasingly source from local solution providers.

Alibaba

E-commerce giant Alibaba — which is sometimes compared with Amazon as it is one of the biggest cloud providers locally — began developing AI chips in the late 2010s. It was developing a new AI chip in August, CNBC reported, specifically designed for inference rather than training.

Alibaba’s share rose in September after reports that the company had secured a major customer for its AI chips.  

“Improved performance of its self-developed chip” was one of the factors that supported revenue growth in the cloud division at Alibaba, Morningstar analyst Chelsey Tam said in September.

Cambricon

Cambricon, which is developing chips for AI training and inference, posted record profits in the first half of 2025 as revenue surged. The chipmaker, founded in 2016, said revenue rose more than 4,000% year-on-year to 2.88 billion Chinese yuan ($402.7 million) and net profit hit a record 1.04 billion yuan.

“We view Cambricon as the most plausible winner in China’s AI accelerator market, which is still at its early stage when compared to the US market on chip accessibility issue,” Jamie Mills O’Brien, investment director at investment group Aberdeen, told CNBC by email.

“We see multiple roadblocks being digested in next 1-2 years, including fab maturity, client acceptance, and ecosystem formation, which is likely to set Cambricon a ‘good enough’ alternative to Nvidia’s downgraded chips in China.”

An illustration photo shows Moore Threads logo in a smartphone in Suqian, Jiangsu Province, China on October 30, 2025.

Cfoto | Future Publishing | Getty Images

Other AI chip companies

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