<p>Jensen Huang's departure from Nvidia over the alleged spygate involving Alice Huang sets the premise for the US-China bilateral meeting at the sidelines of the APEC summit 2026. Democrats had just won the US Congress, and the AI ecosystem was expecting a more hawkish federal government. Huang is now facing investigations from the Nvidia board, three congressional committee investigations, and a shareholder class action lawsuit. There has been no public comment from Alice Huang until now and China has outright denied the espionage narrative.</p><h2>No conclusive evidence of espionage</h2><p>The US Intelligence Community and the Department of Commerce were aware of the relationship between Jensen Huang and Alice Huang since late 2025. US President Donald Trump has since met Chinese President Xi Jinping at least two times, and once accompanied by Jensen Huang himself. But the specific timing of the scandal's public exposure was when the Democrats were projected to win the midterms, and it grew in scale right after a Democratic sweep of the US Congress.&nbsp;</p><p>The US media blow-out around the Nvidia saga is mostly dependent on the intelligence leak from anonymous official sources. People close to the Director of National Intelligence described the "Chinese spy" label as "over-stated," and CIA officials noted that intercepted communications have not yet proven that state secrets were passed intentionally to China. She was close to Huang, but Nvidia's board said it has no reason to believe national security or company secrets were compromised. She wasn't hiding the relationship with the Nvidia CEO, was visible at a public customer event. So it doesn't fit the usual characters of a covert asset.&nbsp;</p><p>The US and Singapore authorities were investigating Megaspeed and its Corporate Origins, linking it to a subsidiary of the Chinese gaming firm 7Road. Both US and Singapore authorities investigated Megaspeed but could not conclusively prove any compromise of US national security. There were hints of an opaque ownership structure, and Alice downplayed her role in Megaspeed. Singapore authorities said that they lacked any evidence of committing an offence, they also claimed a lack of assistance from US in the investigation. The only confirmed activity was that Megaspeed received $4.8 billion worth of advanced Nvidia chips and allegedly rented some amount of them to Chinese labs.&nbsp;</p><h2>Huang was a vocal critic of US export controls</h2><p>Jensen Huang was a vocal critic of the US export controls long before his relationship from the very beginning of AI boom in 2022-23. He argued that AI is like “a five-layer cake”. It's not just the LLM or the software; rather, it consists of energy, chips, infrastructure, models and applications. He argued that the US needed to make Chinese labs dependent on the Nvidia stack. He argued that the US had a generational lead in chips and a roughly six-month lead in frontier models; China possessed twice the energy capacity and could achieve the same processing power by networking massive numbers of domestic chips together at the system level. He argued that excluding China from trade could undermine American technological leadership.</p><p>Further China's policy measures also indicate otherwise. China has been blocking Nvidia imports and pushing domestic chips, so an operation to gain chip access sits awkwardly with that. Though it can be assumed that Chinese labs seeking computing capacity are circumventing policy measures. A Chinese-linked firm buying chips openly and renting access remotely would explain it without needing espionage for a CEO who is already lobbying against export control.</p><h2>Huang was predicting such crisis</h2><p>According to a Wired report Huang began working with Heller by October 2025, for matters related to Huang's private life, including his family's philanthropy right around the NYT's October 9 Megaspeed story, which described Alice Huang standing beside him at a customer event. Heller is a New York based crisis communication firm which has a portfolio working for celebrities over sex scandals, allegations of sexual misconduct, and other personal issues. The same firm had links to Washington DC and had previously worked as Chuck Schumer's communication team.</p><p>According to Wired the scope of collaboration with Heller increased with time as Nvidia's communications team was reportedly told to copy the firm on press inquiries about Huang by the end of October. So it remains unclear whether the firm's work involved the affair, or it handles ordinary corporate communications.</p><h2>US hubris and China's technological ambition</h2><p>Washington continues to project its own security anxieties on China's technolgical ambitions. It explains China's commercial interests and intelligence activities through the prism of American national-security.&nbsp;</p><p>The Nvidia espionage controversy or the media narrative of an extramarital affair being framed as a spy operation, instead of just lobbying shows a paranoid ecosystem reliving the cold war. It exposes an American strategic contradiction. Washington wants its technology companies to dominate the global AI economy, but increasingly views their commercial engagement with China through suspicion. When the CEO of America's most consequential AI company argues that excluding China could undermine American technological leadership, his commercial ambition is interpreted as compromised loyalties. Further the alleged Chinese spy narrative adds another layer, where gender, racial tropes combine with geopolitical rivalry to turn an unverified intelligence leaks into a compelling political story.</p>

The Jensen Huang-Alice Huang controversy exposes a contradiction in US strategic and commercial interests, and its growing suspicion of China's AI ambitions.

Jensen Huang's departure from Nvidia over the alleged spygate involving Alice Huang sets the premise for the US-China bilateral meeting at the sidelines of the APEC summit 2026. Democrats had just won the US Congress, and the AI ecosystem was expecting a more hawkish federal government. Huang is now facing investigations from the Nvidia board, three congressional committee investigations, and a shareholder class action lawsuit. There has been no public comment from Alice Huang until now and China has outright denied the espionage narrative. No conclusive evidence of espionage The US Intelligence Community and the Department of Commerce were aware of the relationship between Jensen Huang and Alice Huang since late 2025. US President Donald Trump has since met Chinese President Xi Jinping at least two times, and once accompanied by Jensen Huang himself. But the specific timing of the scandal's public exposure was when the Democrats were projected to win the midterms, and it grew in scale right after a Democratic sweep of the US Congress. The US media blow-out around the Nvidia saga is mostly dependent on the intelligence leak from anonymous official sources. People close to the Director of National Intelligence described the "Chinese spy" label as "over-stated," and CIA officials noted that intercepted communications have not yet proven that state secrets were passed intentionally to China. She was close to Huang, but Nvidia's board said it has no reason to believe national security or company secrets were compromised. She wasn't hiding the relationship with the Nvidia CEO, was visible at a public customer event. So it doesn't fit the usual characters of a covert asset. The US and Singapore authorities were investigating Megaspeed and its Corporate Origins, linking it to a subsidiary of the Chinese gaming firm 7Road. Both US and Singapore authorities investigated Megaspeed but could not conclusively prove any compromise of US national security. There were hints of an opaque ownership structure, and Alice downplayed her role in Megaspeed. Singapore authorities said that they lacked any evidence of committing an offence, they also claimed a lack of assistance from US in the investigation. The only confirmed activity was that Megaspeed received $4.8 billion worth of advanced Nvidia chips and allegedly rented some amount of them to Chinese labs. Huang was a vocal critic of US export controls Jensen Huang was a vocal critic of the US export controls long before his relationship from the very beginning of AI boom in 2022-23. He argued that AI is like “a five-layer cake”. It's not just the LLM or the software; rather, it consists of energy, chips, infrastructure, models and applications. He argued that the US needed to make Chinese labs dependent on the Nvidia stack. He argued that the US had a generational lead in chips and a roughly six-month lead in frontier models; China possessed twice the energy capacity and could achieve the same processing power by networking massive numbers of domestic chips together at the system level. He argued that excluding China from trade could undermine American technological leadership. Further China's policy measures also indicate otherwise. China has been blocking Nvidia imports and pushing domestic chips, so an operation to gain chip access sits awkwardly with that. Though it can be assumed that Chinese labs seeking computing capacity are circumventing policy measures. A Chinese-linked firm buying chips openly and renting access remotely would explain it without needing espionage for a CEO who is already lobbying against export control. Huang was predicting such crisis According to a Wired report Huang began working with Heller by October 2025, for matters related to Huang's private life, including his family's philanthropy right around the NYT's October 9 Megaspeed story, which described Alice Huang standing beside him at a customer event. Heller is a New York based crisis communication firm which has a portfolio working for celebrities over sex scandals, allegations of sexual misconduct, and other personal issues. The same firm had links to Washington DC and had previously worked as Chuck Schumer's communication team. According to Wired the scope of collaboration with Heller increased with time as Nvidia's communications team was reportedly told to copy the firm on press inquiries about Huang by the end of October. So it remains unclear whether the firm's work involved the affair, or it handles ordinary corporate communications. US hubris and China's technological ambition Washington continues to project its own security anxieties on China's technolgical ambitions. It explains China's commercial interests and intelligence activities through the prism of American national-security. The Nvidia espionage controversy or the media narrative of an extramarital affair being framed as a spy operation, instead of just lobbying shows a paranoid ecosystem reliving the cold war. It exposes an American strategic contradiction. Washington wants its technology companies to dominate the global AI economy, but increasingly views their commercial engagement with China through suspicion. When the CEO of America's most consequential AI company argues that excluding China could undermine American technological leadership, his commercial ambition is interpreted as compromised loyalties. Further the alleged Chinese spy narrative adds another layer, where gender, racial tropes combine with geopolitical rivalry to turn an unverified intelligence leaks into a compelling political story.

<p>The Jensen Huang-Alice Huang controversy exposes a contradiction in US strategic and commercial interests, and its growing suspicion of China's AI ambitions.</p>

Nvidia spy scandal exposes US anxieties over China's AI ambitions

Jensen Huang's resignation from Nvidia has put the spotlight on the Trump administration itself. For instance, U.S. Commerce Secretary Howard Lutnick is facing flak for not doing enough to restrict AI chip shipments to China.


Jensen Huang gone: Pressure builds on Trump, U.S. commerce secretary in firing Line

Nvidia faces fresh investor uncertainty amid reports of a governance crisis and questions surrounding CEO Jensen Huang's leadership. Any major disruption at the AI chip giant could send shockwaves through global markets, hitting investors with heavy Nvidia exposure and portfolios linked to major stock market indices.

NVIDIA's crisis puts ETF and mutual fund risks in focus

NVIDIA CEO Jensen Huang has quit following reports of an alleged affair with a suspected Chinese spy. The claim raises questions about NVIDIA's leadership and potential national security implications. Get the latest details and reactions as the story develops.


NVIDIA CEO Huang quits after affair with suspected China spy

Nvidia CEO Jensen Huang is reportedly facing a potential leadership crisis, with the company's board preparing to consider his removal, according to The Wall Street Journal. The report follows allegations involving two extramarital relationships, including one with Megaspeed executive Alice Huang, whom US intelligence officials reportedly believe has links to Chinese intelligence. Huang has also been linked to a second alleged relationship with senior Nvidia executive Kimberly Powell. The reported developments come just days after Nvidia's board publicly expressed confidence in his leadership. Nvidia shares reportedly fell around 8% in after-hours trading.

Jensen Huang's dramatic fall: Two affairs, suspected China spy link and NVIDIA crisis

NVIDIA is facing reports of a possible leadership shake-up, with its board reportedly weighing whether to remove CEO Jensen Huang. The claims have raised questions about the company's internal dynamics and the future of one of the world's most influential technology leaders.


NVIDIA board reportedly weighs ousting Jensen Huang

Nvidia CEO Jensen Huang is reportedly facing scrutiny as reports emerge of a board investigation linked to alleged shipments worth $7.5 billion. The claims have raised questions about Nvidia's business operations, corporate oversight and the circumstances surrounding the reported shipments. What prompted the investigation, and what is known about the alleged $7.5 billion shipments? Watch for the latest developments.


Jensen Huang faces board investigation; reports allege $7.5 billion in shipments

Nvidia CEO Jensen Huang's admission of an extramarital affair has triggered speculation about a possible divorce. In this hypothetical scenario, this is likely to be the most expensive settlement in the history of tech titan divorces.


The billion-dollar breakup: Inside the high-stakes world of tech Titan divorces

The Jensen Huang controversy has drawn attention to concerns over the suspected diversion of advanced artificial intelligence (AI) chips to China. The issue raises questions about technology exports, semiconductor supply chains, and restrictions on the sale of high-performance AI processors to China. With growing competition between the United States and China in the AI industry, the allegations have renewed discussions about export controls, technology security, and the global semiconductor market. The controversy also puts the spotlight on Nvidia CEO Jensen Huang and the challenges facing major technology companies operating in an increasingly sensitive geopolitical environment.


NVIDIA 'spying plot': Trump defends NVIDIA boss over spying scandal

Jensen Huang Has Spent More Than Three Decades Building Nvidia From a Gaming Chipmaker Into One of the World's Most Valuable Technology Companies. but the Man Credited With Steering Nvidia's Transformation Into an Artificial Intelligence Powerhouse Is Now Facing an Unprecedented Test.

Nvidia's AI dominance at stake? 

Nvidia Stock Is in the Eye of the Storm After Its Board Announced an Independent Investigation Into Ceo Jensen Huang's Personal Relationship With a Chinese Businesswoman, Who u.s. Intelligence Officials Reportedly Suspect of Having Links to Chinese Intelligence. the Company Has Now Lost Over 1.4 Trillion Dollars in the Last One Month.

Nvidia's biggest market test

NVIDIA CEO Jensen Huang faces questions over China links

China uses 'honey trap' to steal hi-tech secrets? How Alice Huang targeted NVIDIA CEO Huang

NVIDIA boss faces growing spy controversy

Did the NVIDIA CEO have a Romantic affair with a Chinese spy?

The Chinese businesswoman, with whom Nvidia's Chief Executive Officer (CEO) Jensen Huang had alleged ties, was recruited as a spy for China's Ministry of State Security, The New York Times reported, citing a memo circulated among policymakers in the Trump administration.

On Friday, three House Republican committee chairs have asked Nvidia CEO to address, behind closed doors, the reported links with a Chinese businesswoman suspected of providing information to Beijing, as per reports.


China's alleged spy op targeted NVIDIA CEO | 'Businesswoman developed close relationship with CEO'

Major technology companies and corporate donors have contributed over $160 million toward President Donald Trump's estimated $300 million to $600 million White House ballroom project.

 Trump ballroom project raises $333 million

South Korea's Supreme Court has delivered what is being called the country's "Divorce of the Year." SK Group Chairman Chey Tae-won has been ordered to pay 944 billion won to his former wife, Roh So-young, in one of the largest divorce settlements in South Korean history. The landmark ruling has drawn attention to Chey's massive stake in SK Group, South Korea's second-largest conglomerate. Analysts believe the billionaire may need to sell shares or use them as collateral to fund the record payment.

Chey Tae-Won to Pay 944 Billion Won to Wife | Wion News 

<p>DeepSeek founder Liang Wenfeng has laid out an unusually ambitious vision for the Chinese AI company: focus on artificial general intelligence (AGI), keep commercialisation secondary and help build an AI ecosystem less dependent on Nvidia. His remarks emerged from a lengthy discussion with investors and offer a rare look at how the normally low-profile entrepreneur thinks about the global AI race. While companies across the industry are spending heavily to turn AI into profitable products, Liang said DeepSeek's main objective remains AGI broadly referring to AI capable of performing intellectual tasks across many areas at or beyond human level.</p><h2><strong>DeepSeek wants the 'watermelon', not the 'sesame seeds'</strong></h2><p>Liang compared near-term revenue opportunities with “sesame seeds”, suggesting DeepSeek will pick some up without allowing them to distract the company from a much bigger prize. “Our goal should be AGI,” he said. The philosophy does not mean DeepSeek will ignore commercial opportunities. Rather, Liang argues that building more advanced intelligence should take priority over maximising revenue from today's products. He described AI development as a staircase. Language models provide the foundation for reasoning, reasoning enables more capable agents, and future systems could eventually learn and improve continuously. If an AI system can help develop its own successor, Liang believes progress could accelerate dramatically.</p><h2><strong>Why Liang thinks Nvidia is 'digging its own grave'</strong></h2><p>Perhaps his most provocative remarks concerned Nvidia. US restrictions have limited Chinese companies' access to some of Nvidia's most advanced AI hardware. But Liang argues that those restrictions are creating a powerful incentive for China to develop alternatives. “If Nvidia cards can't be bought, everyone is forced into it everyone has to do domestic chips,” he said. Liang went further, saying he believes “Nvidia is digging its own grave” by creating conditions that encourage Chinese companies to reduce their dependence on its hardware. DeepSeek is working closely with Huawei and expects to participate deeply in its AI computing ecosystem.</p><h2><strong>Can Huawei really replace Nvidia?</strong></h2><p>Liang's comments should not be mistaken for a claim that China has already eliminated Nvidia's technological advantage. He acknowledged a substantial efficiency gap, saying roughly four Huawei chips may be needed for the work of one comparable Nvidia chip, while China's hardware remains about two years behind. His broader argument is about direction rather than today's outright performance. DeepSeek has already demonstrated an interest in designing its software around hardware limitations. Its researchers have previously detailed how DeepSeek-V3 was trained using 2,048 Nvidia H800 GPUs while relying on several hardware-aware efficiency techniques. Liang believes the same pressure could ultimately produce a broader Chinese AI ecosystem built around domestic chips, open models and lower prices. That would turn Washington's restrictions into something of a long-term gamble: limiting China's access to America's best AI hardware today could also give Chinese companies a powerful reason to make sure they need less of it tomorrow.</p>

DeepSeek founder Liang Wenfeng says AGI, not short-term profit, remains the company's main goal. He also argues that US restrictions on Nvidia chips are accelerating China's push towards domestic AI hardware, with DeepSeek working closely with Huawei.


DeepSeek founder Liang Wenfeng has laid out an unusually ambitious vision for the Chinese AI company: focus on artificial general intelligence (AGI), keep commercialisation secondary and help build an AI ecosystem less dependent on Nvidia. His remarks emerged from a lengthy discussion with investors and offer a rare look at how the normally low-profile entrepreneur thinks about the global AI race. While companies across the industry are spending heavily to turn AI into profitable products, Liang said DeepSeek's main objective remains AGI broadly referring to AI capable of performing intellectual tasks across many areas at or beyond human level. DeepSeek wants the 'watermelon', not the 'sesame seeds' Liang compared near-term revenue opportunities with “sesame seeds”, suggesting DeepSeek will pick some up without allowing them to distract the company from a much bigger prize. “Our goal should be AGI,” he said. The philosophy does not mean DeepSeek will ignore commercial opportunities. Rather, Liang argues that building more advanced intelligence should take priority over maximising revenue from today's products. He described AI development as a staircase. Language models provide the foundation for reasoning, reasoning enables more capable agents, and future systems could eventually learn and improve continuously. If an AI system can help develop its own successor, Liang believes progress could accelerate dramatically. Why Liang thinks Nvidia is 'digging its own grave' Perhaps his most provocative remarks concerned Nvidia. US restrictions have limited Chinese companies' access to some of Nvidia's most advanced AI hardware. But Liang argues that those restrictions are creating a powerful incentive for China to develop alternatives. “If Nvidia cards can't be bought, everyone is forced into it everyone has to do domestic chips,” he said. Liang went further, saying he believes “Nvidia is digging its own grave” by creating conditions that encourage Chinese companies to reduce their dependence on its hardware. DeepSeek is working closely with Huawei and expects to participate deeply in its AI computing ecosystem. Can Huawei really replace Nvidia? Liang's comments should not be mistaken for a claim that China has already eliminated Nvidia's technological advantage. He acknowledged a substantial efficiency gap, saying roughly four Huawei chips may be needed for the work of one comparable Nvidia chip, while China's hardware remains about two years behind. His broader argument is about direction rather than today's outright performance. DeepSeek has already demonstrated an interest in designing its software around hardware limitations. Its researchers have previously detailed how DeepSeek-V3 was trained using 2,048 Nvidia H800 GPUs while relying on several hardware-aware efficiency techniques. Liang believes the same pressure could ultimately produce a broader Chinese AI ecosystem built around domestic chips, open models and lower prices. That would turn Washington's restrictions into something of a long-term gamble: limiting China's access to America's best AI hardware today could also give Chinese companies a powerful reason to make sure they need less of it tomorrow.

<p>DeepSeek founder Liang Wenfeng says AGI, not short-term profit, remains the company's main goal. He also argues that US restrictions on Nvidia chips are accelerating China's push towards domestic AI hardware, with DeepSeek working closely with Huawei.</p>

'Nvidia is digging its own grave': DeepSeek CEO backs China's AI chip push

<p>Nvidia CEO Jensen Huang has delivered a striking defence of Taiwan's semiconductor industry, saying the island “saved” America's chip and computing industries rather than taking them away. “Taiwan saved the American semiconductor industry, saved the American computing industry, not the opposite,” Huang told reporters during the opening of Taiwanese manufacturer Wistron's first US manufacturing facility in Fort Worth, Texas. The comments carry particular weight because Huang sits at the centre of the global AI boom. Nvidia designs the GPUs powering many of today's most advanced AI systems, while Taiwan remains a critical part of the supply chain that makes those systems possible.</p><p>Jensen Huang: Without Taiwan, Japan could have taken the lead</p><p>Huang argued that the relationship between Taiwan and America's technology industry should be viewed as a partnership rather than a story of one country taking manufacturing from another. Without Taiwan's rise as a technology manufacturing powerhouse, he suggested, Japan could have taken a much larger share of America's semiconductor industry. Huang also said Taiwanese companies expanding manufacturing in America are doing so because it makes business sense. “Taiwan is doing it voluntarily because of its own wisdom, not because it's held a gun to its head,” Huang said. He described the relationship between American and Taiwanese technology companies as one built over decades of cooperation and trust.</p><h2><strong>A sharp contrast with Trump's 'stolen' chip claim</strong></h2><p>Huang did not name US President Donald Trump. But his comments offer a sharply different interpretation of how Taiwan became a semiconductor powerhouse. Trump has repeatedly accused Taiwan of taking America's semiconductor business and argued that previous US governments should have used tariffs to prevent chip manufacturing from shifting overseas. Taiwan has rejected that characterisation, arguing that its semiconductor industry was built through decades of investment, engineering expertise and the development of a highly specialised manufacturing ecosystem. Huang's argument goes further: Taiwan's rise, in his view, helped American technology companies remain competitive.</p><h2><strong>Nvidia's latest AI superchips are now being made in Texas</strong></h2><p>The setting for Huang's comments was significant. Wistron's new D1 facility in Fort Worth is a 324,000-square-foot manufacturing plant backed by a $700 million investment. The facility is already mass-producing Nvidia's GB300 Grace Blackwell Ultra Superchip in the United States. It is also expected to manufacture Nvidia's next-generation Vera Rubin Superchip. Wistron says the site has created more than 500 jobs, with plans to expand that number to around 1,000 by the end of 2026. For Nvidia, this represents something bigger than opening another factory.</p><p>The company is trying to build more of the physical infrastructure behind the AI boom inside America from chips and packaging to servers and complete AI systems.</p><p>And there is an irony at the centre of that effort. As Washington pushes to bring advanced technology manufacturing back to American soil, some of the companies helping make that possible are precisely the Taiwanese manufacturers that Huang believes America should be thanking rather than blaming.</p>

Nvidia CEO Jensen Huang says Taiwan “saved” America's semiconductor and computing industries, challenging claims that it took US chip manufacturing away. His remarks came as Taiwan's Wistron opened a $700 million Nvidia AI manufacturing facility in Texas.


Nvidia CEO Jensen Huang has delivered a striking defence of Taiwan's semiconductor industry, saying the island “saved” America's chip and computing industries rather than taking them away. “Taiwan saved the American semiconductor industry, saved the American computing industry, not the opposite,” Huang told reporters during the opening of Taiwanese manufacturer Wistron's first US manufacturing facility in Fort Worth, Texas. The comments carry particular weight because Huang sits at the centre of the global AI boom. Nvidia designs the GPUs powering many of today's most advanced AI systems, while Taiwan remains a critical part of the supply chain that makes those systems possible. Jensen Huang: Without Taiwan, Japan could have taken the lead Huang argued that the relationship between Taiwan and America's technology industry should be viewed as a partnership rather than a story of one country taking manufacturing from another. Without Taiwan's rise as a technology manufacturing powerhouse, he suggested, Japan could have taken a much larger share of America's semiconductor industry. Huang also said Taiwanese companies expanding manufacturing in America are doing so because it makes business sense. “Taiwan is doing it voluntarily because of its own wisdom, not because it's held a gun to its head,” Huang said. He described the relationship between American and Taiwanese technology companies as one built over decades of cooperation and trust. A sharp contrast with Trump's 'stolen' chip claim Huang did not name US President Donald Trump. But his comments offer a sharply different interpretation of how Taiwan became a semiconductor powerhouse. Trump has repeatedly accused Taiwan of taking America's semiconductor business and argued that previous US governments should have used tariffs to prevent chip manufacturing from shifting overseas. Taiwan has rejected that characterisation, arguing that its semiconductor industry was built through decades of investment, engineering expertise and the development of a highly specialised manufacturing ecosystem. Huang's argument goes further: Taiwan's rise, in his view, helped American technology companies remain competitive. Nvidia's latest AI superchips are now being made in Texas The setting for Huang's comments was significant. Wistron's new D1 facility in Fort Worth is a 324,000-square-foot manufacturing plant backed by a $700 million investment. The facility is already mass-producing Nvidia's GB300 Grace Blackwell Ultra Superchip in the United States. It is also expected to manufacture Nvidia's next-generation Vera Rubin Superchip. Wistron says the site has created more than 500 jobs, with plans to expand that number to around 1,000 by the end of 2026. For Nvidia, this represents something bigger than opening another factory. The company is trying to build more of the physical infrastructure behind the AI boom inside America from chips and packaging to servers and complete AI systems. And there is an irony at the centre of that effort. As Washington pushes to bring advanced technology manufacturing back to American soil, some of the companies helping make that possible are precisely the Taiwanese manufacturers that Huang believes America should be thanking rather than blaming.

<p>Nvidia CEO Jensen Huang says Taiwan “saved” America's semiconductor and computing industries, challenging claims that it took US chip manufacturing away. His remarks came as Taiwan's Wistron opened a $700 million Nvidia AI manufacturing facility in Texas.</p>

'Not the opposite': Jensen Huang says Taiwan saved US chip industry

<p>Nvidia has offered its clearest look yet at Vera Rubin, the AI platform it hopes will power the next generation of artificial intelligence. During a technical briefing at its headquarters in Santa Clara, California, the company revealed fresh performance figures for the new chip system ahead of AMD's annual AI event. Nvidia says the Vera Rubin NVL72 platform can process 10 times more AI tokens per watt than its current Grace Blackwell system, while delivering significantly higher memory bandwidth and easier deployment.</p><p>The announcement highlights a major shift in Nvidia's strategy. The company no longer wants to be seen only as the world's leading GPU maker it also wants to become a supplier of complete AI computing systems.</p><h2><strong>Nvidia is betting on CPUs too</strong></h2><p>Graphics Processing Units (GPUs) remain the backbone of AI training, but modern AI agents also rely heavily on Central Processing Units (CPUs) to manage data, networking and software operations.</p><p><strong>Vera Rubin reflects that change.</strong></p><p>Each NVL72 rack combines 72 Rubin GPUs with 36 Vera CPUs, creating an integrated platform designed for large AI workloads. Nvidia is also planning to sell the Vera CPU separately, expanding its push into a market traditionally dominated by AMD and Intel.</p><p>"We're on a roadmap to crank out new architectures not just GPUs but CPUs," Nvidia Vice President Ian Buck said during the briefing.</p><h2><strong>Faster, cooler and easier to install</strong></h2><p>Nvidia says Vera Rubin introduces several practical improvements for data centres.</p><p>The company has redesigned the platform to use 100 per cent liquid cooling, reducing energy needed for cooling. It has also dramatically reduced cabling, allowing server racks to be installed or replaced in minutes instead of hours.</p><p>Another key improvement is memory performance. Nvidia claims Vera Rubin offers nearly three times the memory bandwidth of Grace Blackwell, an important advantage as AI models continue to grow in size. The company also revealed that OpenAI is already testing a Vera Rubin rack as an early customer.</p><h2><strong>A crucial launch in the AI chip race</strong></h2><p>Vera Rubin arrives at a critical moment for Nvidia. The company is competing aggressively with AMD, which is expected to showcase its Helios AI platform, while cloud providers including Microsoft, Oracle, Meta and Amazon continue investing billions of dollars in AI infrastructure.</p><p>Nvidia also faces pressure to execute flawlessly after earlier reports of overheating issues affecting some Blackwell server configurations. According to Nvidia, Vera Rubin remains on schedule for full production in the second half of this year. As AI models become larger and more capable, the competition is no longer just about building the fastest GPU. Companies now need complete AI systems that combine processing power, networking, memory efficiency and energy savings and Nvidia is betting Vera Rubin will keep it ahead in that race.</p>

Nvidia has unveiled new performance details for its Vera Rubin AI platform, claiming up to 10 times better token-per-watt efficiency than Grace Blackwell. The system combines CPUs and GPUs to power advanced AI workloads as competition with AMD intensifies.

Nvidia has offered its clearest look yet at Vera Rubin, the AI platform it hopes will power the next generation of artificial intelligence. During a technical briefing at its headquarters in Santa Clara, California, the company revealed fresh performance figures for the new chip system ahead of AMD's annual AI event. Nvidia says the Vera Rubin NVL72 platform can process 10 times more AI tokens per watt than its current Grace Blackwell system, while delivering significantly higher memory bandwidth and easier deployment. The announcement highlights a major shift in Nvidia's strategy. The company no longer wants to be seen only as the world's leading GPU maker it also wants to become a supplier of complete AI computing systems. Nvidia is betting on CPUs too Graphics Processing Units (GPUs) remain the backbone of AI training, but modern AI agents also rely heavily on Central Processing Units (CPUs) to manage data, networking and software operations. Vera Rubin reflects that change. Each NVL72 rack combines 72 Rubin GPUs with 36 Vera CPUs, creating an integrated platform designed for large AI workloads. Nvidia is also planning to sell the Vera CPU separately, expanding its push into a market traditionally dominated by AMD and Intel. "We're on a roadmap to crank out new architectures not just GPUs but CPUs," Nvidia Vice President Ian Buck said during the briefing. Faster, cooler and easier to install Nvidia says Vera Rubin introduces several practical improvements for data centres. The company has redesigned the platform to use 100 per cent liquid cooling, reducing energy needed for cooling. It has also dramatically reduced cabling, allowing server racks to be installed or replaced in minutes instead of hours. Another key improvement is memory performance. Nvidia claims Vera Rubin offers nearly three times the memory bandwidth of Grace Blackwell, an important advantage as AI models continue to grow in size. The company also revealed that OpenAI is already testing a Vera Rubin rack as an early customer. A crucial launch in the AI chip race Vera Rubin arrives at a critical moment for Nvidia. The company is competing aggressively with AMD, which is expected to showcase its Helios AI platform, while cloud providers including Microsoft, Oracle, Meta and Amazon continue investing billions of dollars in AI infrastructure. Nvidia also faces pressure to execute flawlessly after earlier reports of overheating issues affecting some Blackwell server configurations. According to Nvidia, Vera Rubin remains on schedule for full production in the second half of this year. As AI models become larger and more capable, the competition is no longer just about building the fastest GPU. Companies now need complete AI systems that combine processing power, networking, memory efficiency and energy savings and Nvidia is betting Vera Rubin will keep it ahead in that race.

<p>Nvidia has unveiled new performance details for its Vera Rubin AI platform, claiming up to 10 times better token-per-watt efficiency than Grace Blackwell. The system combines CPUs and GPUs to power advanced AI workloads as competition with AMD intensifies.</p>

Nvidia says its next AI superchip is 10 times more efficient than Blackwell

<p>Meta is preparing for one of its biggest artificial intelligence infrastructure upgrades yet. According to an internal company memo reviewed by Reuters, the company plans to begin manufacturing its next-generation AI chip, codenamed Iris, in September 2026.</p><p>The chip is part of Meta's long-term Meta Training and Inference Accelerator (MTIA) programme, under which the company is developing its own AI processors instead of relying entirely on third-party suppliers. The goal is to improve the AI systems powering Facebook, Instagram and other Meta products while reducing computing costs.</p><p>The reported production follows six weeks of successful testing, during which engineers found no major issues with the chip.</p><h2><strong>Why is Meta building its own AI chip?</strong></h2><p>Running advanced AI models requires enormous computing power, and buying large numbers of graphics processing units (GPUs) from companies such as Nvidia and AMD has become increasingly expensive.</p><p>Meta believes custom-designed chips can perform many AI tasks more efficiently while giving the company greater control over its infrastructure.</p><p>The Iris processor has been designed with help from Broadcom, while Taiwan Semiconductor Manufacturing Co. (TSMC) will manufacture the chip. Industry analysts say nearly every major AI company is now pursuing custom silicon to reduce costs and avoid dependence on external chip suppliers.</p><h2><strong>Meta plans to double computing capacity</strong></h2><p>The Reuters memo shows Meta expects to deploy around 7 gigawatts (GW) of computing infrastructure by the end of 2026 before doubling that figure to 14GW in 2027.</p><p>For comparison, 1GW of electricity can power roughly 800,000 homes. Such a rapid expansion highlights the enormous energy requirements of modern AI systems. Meta also expects to spend up to $145 billion this year on AI infrastructure, making it one of the biggest investors in artificial intelligence globally.</p><h2><strong>The AI hardware race is accelerating</strong></h2><p>Meta's chip strategy reflects a broader industry trend. Google has its Tensor Processing Units (TPUs), Amazon has Trainium and Inferentia, while Microsoft, OpenAI and Anthropic are also exploring custom AI hardware.</p><p>According to the memo, Meta plans to introduce a new AI chip roughly every six months through 2027, a much faster release cycle than the industry's traditional annual updates. The company has also secured long-term supply agreements with Samsung Electronics for memory chips, Sandisk for storage and Sumitomo Electric for fibre-optic equipment as it expands its global data centre network. With AI demand continuing to grow, owning more of its hardware stack could become one of Meta's biggest competitive advantages in the years ahead.</p><p>&nbsp;</p>

Meta will reportedly begin producing its new Iris AI chip in September after successful testing. The custom processor is part of the company's plan to double computing capacity to 14GW by 2027, reduce dependence on Nvidia and support growing AI services across its platforms.

Meta is preparing for one of its biggest artificial intelligence infrastructure upgrades yet. According to an internal company memo reviewed by Reuters, the company plans to begin manufacturing its next-generation AI chip, codenamed Iris, in September 2026. The chip is part of Meta's long-term Meta Training and Inference Accelerator (MTIA) programme, under which the company is developing its own AI processors instead of relying entirely on third-party suppliers. The goal is to improve the AI systems powering Facebook, Instagram and other Meta products while reducing computing costs. The reported production follows six weeks of successful testing, during which engineers found no major issues with the chip. Why is Meta building its own AI chip? Running advanced AI models requires enormous computing power, and buying large numbers of graphics processing units (GPUs) from companies such as Nvidia and AMD has become increasingly expensive. Meta believes custom-designed chips can perform many AI tasks more efficiently while giving the company greater control over its infrastructure. The Iris processor has been designed with help from Broadcom, while Taiwan Semiconductor Manufacturing Co. (TSMC) will manufacture the chip. Industry analysts say nearly every major AI company is now pursuing custom silicon to reduce costs and avoid dependence on external chip suppliers. Meta plans to double computing capacity The Reuters memo shows Meta expects to deploy around 7 gigawatts (GW) of computing infrastructure by the end of 2026 before doubling that figure to 14GW in 2027. For comparison, 1GW of electricity can power roughly 800,000 homes. Such a rapid expansion highlights the enormous energy requirements of modern AI systems. Meta also expects to spend up to $145 billion this year on AI infrastructure, making it one of the biggest investors in artificial intelligence globally. The AI hardware race is accelerating Meta's chip strategy reflects a broader industry trend. Google has its Tensor Processing Units (TPUs), Amazon has Trainium and Inferentia, while Microsoft, OpenAI and Anthropic are also exploring custom AI hardware. According to the memo, Meta plans to introduce a new AI chip roughly every six months through 2027, a much faster release cycle than the industry's traditional annual updates. The company has also secured long-term supply agreements with Samsung Electronics for memory chips, Sandisk for storage and Sumitomo Electric for fibre-optic equipment as it expands its global data centre network. With AI demand continuing to grow, owning more of its hardware stack could become one of Meta's biggest competitive advantages in the years ahead.

<p>Meta will reportedly begin producing its new Iris AI chip in September after successful testing. The custom processor is part of the company's plan to double computing capacity to 14GW by 2027, reduce dependence on Nvidia and support growing AI services across its platforms.</p>

Meta plans a new AI chip every six months: Here's how its next chip could reduce dependence on Nvidia

Global tech stocks are under pressure, but Nvidia’s boss says: don’t panic. In fact, he says, now is the time to buy.

Jensen Huang Shrugs Off Global Tech Rout

NVIDIA is drawing strong attention on Wall Street after reports suggest the company now holds more cash than it owes, strengthening its financial position. Investors are increasingly betting on NVIDIA’s growth potential, with some analysts even comparing its market influence to that of governments. The surge highlights growing confidence in the company’s dominance in AI, chips, and next-generation computing technologies.


NVIDIA Holds More Cash Than It Owes, Wall Street Bets on NVIDIA Over the US Government 

Something extraordinary is happening on Wall Street. For the first time, investors consider NVIDIA to be less likely to default on its debts,
Than the United States federal government. In this report, We dive into the details of why Wall Street is betting big on the AI darling.

NVIDIA Becomes Wall Street’s Safe Haven Amid US Debt Fears

In a remarkable sign of investor confidence, chipmaker NVIDIA is now being viewed by parts of the market as a safer credit bet than the US government. Fueled by the global AI boom and strong demand for its advanced chips, Nvidia's financial standing has strengthened dramatically. The development highlights how rapidly the company has risen from a semiconductor manufacturer to one of the world's most influential technology firms, reshaping discussions around market confidence, risk and the future of artificial intelligence.


Nvidia Overtakes US Government in Market Credit Rankings as Investor Confidence Soar

<p>As most of the Silicon Valley giants are carrying out a massive exodus of employees, NVIDIA is on a hiring boom with huge paychecks. The majority of them are immigrant workers. According to the Federal Labour filings, NVIDIA has secured approximately 1,200 visa certifications during the first two quarters of the fiscal year 2026. This represents a 20 per cent increase from roughly 1000 applications approved during the same time frame the previous year. While this marks an increase in the H1B hiring for NVIDIA, it remains a long way off from other Silicon Valley companies like Alphabet and Amazon, which have 2,200 and 4,300 certifications in the H1FY26, down from 5,100 and 6100 in the same period the previous year, respectively.</p><h2>How much are Indians benefiting from the NVIDIA hiring boom?</h2><p>Indian technology professionals are the primary beneficiaries of the NVIDIA hiring boom both in the United States and within India's domestic tech hubs. Indian nationals historically secured 71-73 per cent of all H-1B visas in the US, so NVIDIA's rapid expansion of H1B hiring will likely disproportionately benefit Indian talent. According to the Federal Filings, NVIDIA is offering lucrative packages in basic salaries, excluding stock grants and bonuses, which can significantly increase overall compensation. An individual contributor can earn from a range of $356,500- $391,000 per annum, for roles like software engineer, research scientist, product manager, and hardware engineering manager. While Director-level roles are more lucrative, like architecture directors can earn up to $488,750, in base salary alone. However, the whole H1B segment has seen a structural overhaul, and the $100,000 "entry restriction" fee has made the immigration process move from a random lottery to a high-wage, high-skill selection model. This has helped Silicon Valley giants like NVIDIA, Alphabet and Amazon while pushing others like TCS, Infosys and Wipro out of the market.&nbsp;</p><p><strong>Also Read: </strong><a href="https://www.wionews.com/world/trump-one-nation-under-god-christian-nationalism-debate-1779189316728"><strong>‘Make America Christian’: How Trump’s Christian nationalist messaging challenges America’s civic identity</strong></a></p><h2>What is driving this hiring boom at NVIDIA?</h2><p>NVIDIA, which has been the leading beneficiary of the AI boon, posted its Q1 Fiscal Year 2027 financial results on May 20, 2026. It has recorded a massive year-over-year revenue growth of 85 per cent. It jumped to $81.62 billion from the $44.06 billion it reported in the same quarter last year. The data centre segment has recorded $75.2 billion in a single quarter. This is more than most Fortune 500 companies. NVIDIA is not just a supplier of the current AI wave; it is building the dedicated AI infrastructure for the AI wave.</p><p>&nbsp;</p>

NVIDIA is ramping up H-1B hiring and offering lucrative salaries as its AI-driven growth accelerates. Indian tech professionals are among the biggest beneficiaries of the recruitment surge.

As most of the Silicon Valley giants are carrying out a massive exodus of employees, NVIDIA is on a hiring boom with huge paychecks. The majority of them are immigrant workers. According to the Federal Labour filings, NVIDIA has secured approximately 1,200 visa certifications during the first two quarters of the fiscal year 2026. This represents a 20 per cent increase from roughly 1000 applications approved during the same time frame the previous year. While this marks an increase in the H1B hiring for NVIDIA, it remains a long way off from other Silicon Valley companies like Alphabet and Amazon, which have 2,200 and 4,300 certifications in the H1FY26, down from 5,100 and 6100 in the same period the previous year, respectively. How much are Indians benefiting from the NVIDIA hiring boom? Indian technology professionals are the primary beneficiaries of the NVIDIA hiring boom both in the United States and within India's domestic tech hubs. Indian nationals historically secured 71-73 per cent of all H-1B visas in the US, so NVIDIA's rapid expansion of H1B hiring will likely disproportionately benefit Indian talent. According to the Federal Filings, NVIDIA is offering lucrative packages in basic salaries, excluding stock grants and bonuses, which can significantly increase overall compensation. An individual contributor can earn from a range of $356,500- $391,000 per annum, for roles like software engineer, research scientist, product manager, and hardware engineering manager. While Director-level roles are more lucrative, like architecture directors can earn up to $488,750, in base salary alone. However, the whole H1B segment has seen a structural overhaul, and the $100,000 "entry restriction" fee has made the immigration process move from a random lottery to a high-wage, high-skill selection model. This has helped Silicon Valley giants like NVIDIA, Alphabet and Amazon while pushing others like TCS, Infosys and Wipro out of the market. Also Read: ‘Make America Christian’: How Trump’s Christian nationalist messaging challenges America’s civic identity What is driving this hiring boom at NVIDIA? NVIDIA, which has been the leading beneficiary of the AI boon, posted its Q1 Fiscal Year 2027 financial results on May 20, 2026. It has recorded a massive year-over-year revenue growth of 85 per cent. It jumped to $81.62 billion from the $44.06 billion it reported in the same quarter last year. The data centre segment has recorded $75.2 billion in a single quarter. This is more than most Fortune 500 companies. NVIDIA is not just a supplier of the current AI wave; it is building the dedicated AI infrastructure for the AI wave.

<p>NVIDIA is ramping up H-1B hiring and offering lucrative salaries as its AI-driven growth accelerates. Indian tech professionals are among the biggest beneficiaries of the recruitment surge.</p>

NVIDIA expands H-1B hiring while other Silicon Valley giants cut back

NVIDIA is expanding its push into the AI PC market with the launch of a new chip designed to bring advanced artificial intelligence capabilities directly to personal computers. The move highlights growing competition in the AI hardware space as tech companies race to power the next generation of AI-driven devices and applications.


NVIDIA Gets Big On AI PCs With New Chip

Nvidia is overtaking traditional chipmakers by powering the Microsoft Surface Laptop Ultra with its RTX Spark superchip. Featuring up to 128GB of unified memory and 1 petaflop of AI compute, the chip allows users to run massive 120-billion parameter models locally.


<p>Nvidia is overtaking traditional chipmakers by powering the Microsoft Surface Laptop Ultra with its RTX Spark superchip. Featuring up to 128GB of unified memory and 1 petaflop of AI compute, the chip allows users to run massive 120-billion parameter models locally.</p>

‘Nvidia vs traditional chipmakers’: How Nvidia is winning the race that traditional chipmakers started

<p>Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. The announcement marks a significant step in Microsoft's AI PC strategy as the company looks to bring advanced artificial intelligence capabilities directly onto personal computers.</p>

<blockquote class="twitter-tweet"><p lang="en" dir="ltr">Introducing Surface Laptop Ultra.<br><br>Built for world makers. Designed for what&#39;s next.<br><br>The most powerful Surface laptop ever. Coming Fall 2026.<br><br>Sign up to learn more: <a href="https://t.co/k8aEX2pTAy">https://t.co/k8aEX2pTAy</a> <a href="https://t.co/bY1NdzNnie">pic.twitter.com/bY1NdzNnie</a></p>&mdash; Microsoft Surface (@surface) <a href="https://x.com/surface/status/2061329225886453989?ref_src=twsrc%5Etfw">June 1, 2026</a></blockquote> <script async src="https://platform.x.com/widgets.js" charset="utf-8"></script>

<p>The new device is powered by Nvidia's RTX Spark processor, an Arm-based chip designed to handle demanding AI workloads while maintaining the portability and battery life expected from modern laptops. Microsoft says the Surface Laptop Ultra represents years of collaboration between the two companies on Windows on Arm and AI-focused computing.</p><h2><strong>What is the Surface Laptop Ultra?</strong></h2><p>The Surface Laptop Ultra is a 15-inch laptop built around Nvidia's new RTX Spark platform. It is the first major Surface device to combine Microsoft's Windows ecosystem with Nvidia's latest Arm-based AI computing architecture. The launch is particularly notable because it marks Microsoft's renewed effort to build premium Arm-powered computers. Earlier attempts faced challenges, but advances in AI processing, chip design and software optimisation have created new opportunities for Arm-based Windows devices.</p><p>Microsoft says the laptop has been designed for creators, developers, AI researchers and professionals who need high-performance computing in a portable form factor.</p><p>RTX Spark: The chip at the centre of Microsoft's AI push</p><p>The biggest talking point is Nvidia's RTX Spark processor.</p><p>According to Microsoft and Nvidia, the chip can feature:</p><p>Up to 20 CPU cores</p><p>Up to 6,144 GPU cores</p><p>Up to 128GB unified memory</p><p>AI performance approaching 1 petaflop</p><p>Dedicated AI acceleration capabilities</p><p>The architecture is based on technology previously used in Nvidia's DGX Spark systems for AI developers. It has now been adapted for Windows devices, allowing advanced AI applications to run locally on the machine rather than relying entirely on cloud infrastructure. Industry observers see this as part of a wider trend where AI workloads are increasingly moving closer to the user rather than being processed exclusively in remote data centres.</p><h2><strong>Designed for AI, creators and developers</strong></h2><p>Microsoft says the Surface Laptop Ultra has been built for users handling demanding workloads such as AI model development, video editing, software development, 3D design and content creation. The company claims graphics performance is comparable to laptops equipped with Nvidia RTX 5070-class hardware, while AI processing capabilities are designed to support increasingly complex local AI applications. As businesses and consumers adopt more AI-powered tools, hardware manufacturers are focusing on devices capable of running these workloads efficiently without sacrificing portability.</p><h2><strong>Display, design and battery life</strong></h2><p>The Surface Laptop Ultra features a 15-inch mini-LED display with a pixel density of 262 pixels per inch. Microsoft says it is the brightest display ever used in a Surface device, with peak HDR brightness reaching 2,000 nits. The company has also introduced its largest Surface trackpad to date, complete with haptic feedback technology. The laptop weighs around 2 kilograms and will be available in silver and dark grey finishes.</p><p>Microsoft also says the device is designed to deliver all-day battery life, although detailed battery performance figures have not yet been released.</p><h2><strong>Ports and connectivity</strong></h2><p><br>Unlike many premium laptops that have reduced port options, the Surface Laptop Ultra includes a broad selection of connectivity features.</p><p>The company has confirmed support for:</p><p>USB-C<br>USB-A<br>HDMI<br>Full-size SD card slot<br>3.5mm headphone jack</p><p>Microsoft has not yet disclosed the full technical specifications for these ports, including transfer speeds and supported standards.</p><h2><strong>Why this launch matters</strong></h2><p>The launch is important not only because of the hardware itself but also because it highlights a deeper partnership between Microsoft and Nvidia. The two companies have spent years working on Windows on Arm and AI-focused computing. The Surface Laptop Ultra is one of the first major products to emerge from that collaboration. It also reflects a growing industry shift towards AI PCs. Companies including Microsoft, Apple, Qualcomm, AMD and Intel are all investing heavily in devices designed specifically for artificial intelligence workloads.</p><p>Rather than focusing only on traditional performance metrics, manufacturers are increasingly highlighting AI processing power, memory bandwidth and on-device AI capabilities.</p><h2><strong>More RTX Spark devices are expected</strong></h2><p>Microsoft has indicated that the Surface Laptop Ultra will not be the only product based on Nvidia's RTX Spark platform. According to the companies, the architecture is expected to appear in additional laptops and compact desktop systems in the future. This suggests that RTX Spark could become a broader ecosystem rather than a single flagship device.</p><p>As AI becomes a larger part of everyday computing, Microsoft and Nvidia appear to be positioning themselves at the centre of the next generation of personal computers. The Surface Laptop Ultra is expected to launch later in 2026, although Microsoft has not yet announced pricing or exact availability dates. For now, the announcement provides a glimpse into how Microsoft sees the future of computing: powerful AI capabilities running directly on devices, supported by specialised hardware and deep integration between software and silicon. Whether the Surface Laptop Ultra can reshape the Windows laptop market remains to be seen, but it clearly signals Microsoft's determination to compete aggressively in the emerging AI PC era.</p><p>&nbsp;</p>

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. 

Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date. The announcement marks a significant step in Microsoft's AI PC strategy as the company looks to bring advanced artificial intelligence capabilities directly onto personal computers.

<p>Microsoft has introduced the Surface Laptop Ultra, a new premium laptop developed in partnership with Nvidia that the company describes as its most powerful Surface device to date.&nbsp;</p>

Microsoft unveils Surface Laptop Ultra with Nvidia RTX Spark chip: Key things to know

<p>Nvidia on Monday (Jun 1) unveiled a powerful laptop chip for Windows laptops, entering the market for AI-powered PC that is dominated by established players such as Intel, AMD and Qualcomm. The move marks Nvidia’s most significant push into personal computing in more than a decade and comes as the company seeks to extend its dominance beyond data centres and into devices.</p><p>According to analysts, Nvidia’s entry into the personal computer processor market puts it in direct competition with industry heavyweights such as Apple, Intel and AMD. However, they expect the AI-focused devices to launch at premium price points. Although the company also plans to introduce more affordable versions of the technology in the future.</p><p>The move also reflects Nvidia's broader strategy to expand beyond its dominant data centre business and strengthen its presence in the consumer technology market. The company, which has emerged as the world’s most valuable firm amid the artificial intelligence boom, continues to benefit from surging demand for its AI chips from major global technology companies.</p><p>Speaking at the Computex technology exhibition, Nvidia CEO Jensen Huang described the new RTX Spark Superchip as a transformative step for personal computing.</p><p>“Microsoft and Nvidia are going to reinvent the PC. This is going to be the new PC,” Huang said during the launch event.</p><p>Highlighting the system’s capabilities, Huang said the platform would be powerful enough to handle a wide range of demanding workloads, from digital biology and seismic analysis to astrophysics research.</p><p>“If you want to run digital biology, no problem. If you want to do seismic processing, no problem. You want astrophysics, no problem,” Huang said.</p><p>He added that years of collaboration between Microsoft and Nvidia had resulted in a platform capable of running virtually all existing software while also supporting advanced AI agents and next-generation artificial intelligence applications.</p><p>“Microsoft and Nvidia meticulously optimised everything so that this computer literally runs everything the world has ever created, while also enabling powerful AI agents,” Huang said, calling it “an incredible computer.”</p>

Nvidia unveils AI-powered laptop chip for Windows PCs, challenging Intel, AMD and Qualcomm, as CEO Jensen Huang calls it the “new PC” revolution.

Nvidia on Monday (Jun 1) unveiled a powerful laptop chip for Windows laptops, entering the market for AI-powered PC that is dominated by established players such as Intel, AMD and Qualcomm. The move marks Nvidia’s most significant push into personal computing in more than a decade and comes as the company seeks to extend its dominance beyond data centres and into devices. According to analysts, Nvidia’s entry into the personal computer processor market puts it in direct competition with industry heavyweights such as Apple, Intel and AMD. However, they expect the AI-focused devices to launch at premium price points. Although the company also plans to introduce more affordable versions of the technology in the future. The move also reflects Nvidia's broader strategy to expand beyond its dominant data centre business and strengthen its presence in the consumer technology market. The company, which has emerged as the world’s most valuable firm amid the artificial intelligence boom, continues to benefit from surging demand for its AI chips from major global technology companies. Speaking at the Computex technology exhibition, Nvidia CEO Jensen Huang described the new RTX Spark Superchip as a transformative step for personal computing. “Microsoft and Nvidia are going to reinvent the PC. This is going to be the new PC,” Huang said during the launch event. Highlighting the system’s capabilities, Huang said the platform would be powerful enough to handle a wide range of demanding workloads, from digital biology and seismic analysis to astrophysics research. “If you want to run digital biology, no problem. If you want to do seismic processing, no problem. You want astrophysics, no problem,” Huang said. He added that years of collaboration between Microsoft and Nvidia had resulted in a platform capable of running virtually all existing software while also supporting advanced AI agents and next-generation artificial intelligence applications. “Microsoft and Nvidia meticulously optimised everything so that this computer literally runs everything the world has ever created, while also enabling powerful AI agents,” Huang said, calling it “an incredible computer.”

<p>Nvidia unveils AI-powered laptop chip for Windows PCs, challenging Intel, AMD and Qualcomm, as CEO Jensen Huang calls it the “new PC” revolution.</p>

‘Reinventing PC’: Nvidia unveils new chip for Windows laptops, challenging Intel, AMD

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