Nvidia to Resume Sales of Highly Desired AI Computer Chips to China

President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2025 exhibition in Taipei, Taiwan, Monday, May 19, 2025. (AP)
President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2025 exhibition in Taipei, Taiwan, Monday, May 19, 2025. (AP)
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Nvidia to Resume Sales of Highly Desired AI Computer Chips to China

President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2025 exhibition in Taipei, Taiwan, Monday, May 19, 2025. (AP)
President and CEO of Nvidia Corporation Jensen Huang delivers a speech during the Computex 2025 exhibition in Taipei, Taiwan, Monday, May 19, 2025. (AP)

Nvidia’s CEO Jensen Huang says the technology giant has won approval from the Trump administration to sell its advanced H20 computer chips used to develop artificial intelligence to China.

The news came in a company blog post late Monday, which stated that the US government had "assured" Nvidia that licenses would be granted — and that the company "hopes to start deliveries soon." Shares of the California-based chipmaker were up over 4% by midday Tuesday.

Huang also spoke about the coup on China’s state-run CGTN television network, in remarks shown on X.

"Today, I'm announcing that the US government has approved for us filing licenses to start shipping H20s," Huang told reporters in Beijing.

He added that half of the world's AI researchers are in China. "It's so innovative and dynamic here in China that it's really important that American companies are able to compete and serve the market here," he said.

Huang recently met with President Donald Trump and other US policymakers and is in Beijing this week to attend a supply chain conference and speak with Chinese officials. The broadcast showed Huang meeting with Ren Hongbin, the head of the China Council for Promotion of International Trade, host of the China International Supply Chain Expo, which Huang was attending. Nvidia is an exhibitor.

Nvidia has profited enormously from the rapid adoption of AI, becoming the first company to have its market value surpass $4 trillion last week. However, the trade rivalry between the US and China has been weighing heavily on the industry.

Here's what we know.

What is Nvidia's H20 chip? The H20 graphics processing unit, or GPU, is an advanced AI chip — a type of device used to build and update a range of AI systems. But it's less powerful than Nvidia's top semiconductors today.

That's because the H20 chip was developed to specifically comply with US restrictions for exports of AI chips to China. Nvidia's most advanced chips, which carry more computing power, are off-limits to the Chinese market.

Washington has been tightening controls on exports of advanced technology to China for years, citing concerns that know-how meant for civilian use could be deployed for military purposes. And in January, before Trump began his second term in office, President Joe Biden's administration launched a new framework for exporting advanced computer chips used to develop AI in an attempt to balance national security concerns about the technology with the economic interests of producers and other countries.

Restrictions on sales of advanced chips to China have been central to the AI race between the world's two largest economic powers, but such controls are also controversial.

Proponents argue that these restrictions are necessary to slow China down enough to allow US companies to keep their lead. Meanwhile, opponents say the export controls have loopholes and could still spur innovation. The emergence of China’s DeepSeek AI chatbot in January particularly renewed concerns over how China might use advanced chips to help develop its own AI capabilities.

What's happened since Trump took office? In April, the White House announced that it would restrict sales of Nvidia’s H20 chips to China — as well as MI308 chips from rival chipmaker Advanced Micro Devices with the Trump administration again citing national security.

At the time, Nvidia said these tighter export controls would cost the company an extra $5.5 billion and Huang and other technology leaders have been lobbying Trump to reverse the restrictions since. They've argued that such limits hinder US competition in a sector in one of the world’s largest markets for technology, and have also warned that US export controls could end up pushing other countries toward China’s AI technology.

Monday's announcement from Nvidia signals that its lobbying efforts paid off. White House AI and crypto adviser David Sacks told Bloomberg on Tuesday that allowing Nvidia to restart Chinese sales of its H20 chip would help the US better compete abroad, particularly with Chinese chipmaker Huawei Technologies.

Meanwhile, Commerce Secretary Howard Lutnick told CNBC on Tuesday that the renewed sale of H20 chips in China was linked to a trade agreement made between the two countries on rare earth magnets and maintained that the administration was also reversing course from April's restrictions because the US still doesn't sell China "our best stuff."

Still, calls for restrictions on advanced chip exports to China have persisted among US lawmakers on both sides of the aisle.

Just last week, Sens. Elizabeth Warren and Jim Banks wrote a letter to Huang noting that the hardware powering advanced AI "is of immense strategic importance" and again warned that this kind of technology could be used to accelerate Beijing’s effort to modernize its military if exported freely. US lawmakers have also proposed that chips subject to export controls should be tracked, to ensure they don’t end up in the wrong places.

Beyond export controls, California-based Nvidia — like other tech giants today — has been caught in the crosshairs of Trump’s tariff wars abroad, particularly amid America's tit-for-tat levies with China. But Beijing and Washington recently agreed to pull back some non-tariff restrictions. China says it’s approving permits for rare earth magnets to be exported to the US, while Washington has lifted curbs on chip design software and jet engines.

Nvidia and its CEO have also garnered Trump’s favor in recent months. In April, the company announced that it would be producing its AI chips in the US for the first time, starting with more than one million square feet of manufacturing space to build and test its specialized Blackwell chips in Arizona and AI supercomputers in Texas.

Trump was quick to applaud Nvidia's move. He introduced Huang as a "smart cookie" who was helping bring jobs to the US at an "Investing in America" event held at the White House later that month.

Similar to Nvidia, AMD is now also poised to restart Chinese sales of its MI308 chips. The California-based company said in a statement that the Commerce Department was moving forward with license applications for these exports to China, and that it plans to resume shipments as those licenses are approved.



India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
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India Eyes $200B in Data Center Investments as It Ramps Up Its AI Hub Ambitions

FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)
FILE -Google CEO Sundar Pichai, right, interacts with India's Minister for Information and Technology Ashwini Vaishnaw during Google for India 2022 event in New Delhi, Dec. 19, 2022. (AP Photo/Manish Swarup), File)

India is hoping to garner as much as $200 billion in investments for data centers over the next few years as it scales up its ambitions to become a hub for artificial intelligence, the country’s minister for electronics and information technology said Tuesday.

The investments underscore the reliance of tech titans on India as a key technology and talent base in the global race for AI dominance. For New Delhi, they bring in high-value infrastructure and foreign capital at a scale that can accelerate its digital transformation ambitions.

The push comes as governments worldwide race to harness AI's economic potential while grappling with job disruption, regulation and the growing concentration of computing power in a few rich countries and companies.

“Today, India is being seen as a trusted AI partner to the Global South nations seeking open, affordable and development-focused solutions,” Ashwini Vaishnaw told The Associated Press in an email interview, as New Delhi hosts a major AI Impact Summit this week drawing participation from at least 20 global leaders and a who’s who of the tech industry.

In October, Google announced a $15 billion investment plan in India over the next five years to establish its first artificial intelligence hub in the South Asian country. Microsoft followed two months later with its biggest-ever Asia investment announcement of $17.5 billion to advance India’s cloud and artificial intelligence infrastructure over the next four years.

Amazon too has committed $35 billion investment in India by 2030 to expand its business, specifically targeting AI-driven digitization. The cumulative investments are part of $200 billion in investments that are in the pipeline and New Delhi hopes would flow in.

Vaishnaw said India’s pitch is that artificial intelligence must deliver measurable impacts at scale rather than remain an elite technology.

“A trusted AI ecosystem will attract investment and accelerate adoption,” he said, adding that a central pillar of India’s strategy to capitalize on the use of AI is building infrastructure.

The government recently announced a long-term tax holiday for data centers as it hopes to provide policy certainty and attract global capital.

Vaishnaw said the government has already operationalized a shared computing facility with more than 38,000 graphics processing units, or GPUs, allowing startups, researchers and public institutions to access high-end computing without heavy upfront costs.

“AI must not become exclusive. It must remain widely accessible,” he said.

Alongside the infrastructure drive, India is backing the development of sovereign foundational AI models trained on Indian languages and local contexts. Some of these models meet global benchmarks and in certain tasks rival widely used large language models, Vaishnaw said.

India is also seeking a larger role in shaping how AI is built and deployed globally as the country doesn’t see itself strictly as a “rule maker or rule taker,” according to Vaishnaw, but an active participant in setting practical, workable norms while expanding its AI services footprint worldwide.

“India will become a major provider of AI services in the near future,” he said, describing a strategy that is “self-reliant yet globally integrated” across applications, models, chips, infrastructure and energy.

Investor confidence is another focus area for New Delhi as global tech funding becomes more cautious.

Vaishnaw said the technology’s push is backed by execution, pointing to the Indian government's AI Mission program which emphasizes sector specific solutions through public-private partnerships.

The government is also betting on reskilling its workforce as global concerns grow that AI could disrupt white collar and technology jobs. New Delhi is scaling AI education across universities, skilling programs and online platforms to build a large AI-ready talent pool, the minister said.

Widespread 5G connectivity across the country and a young, tech-savvy population are expected to help with the adoption of AI at a faster pace, he added.

Balancing innovation with safeguards remains a challenge though, as AI expands into sensitive sectors such as governance, health care and finance.

Vaishnaw outlined a fourfold strategy that includes implementable global frameworks, trusted AI infrastructure, regulation of harmful misinformation and stronger human and technical capacity to hedge the impact.

“The future of AI should be inclusive, distributed and development-focused,” he said.


Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
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Report: SpaceX Competing to Produce Autonomous Drone Tech for Pentagon 

The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)
The SpaceX logo is seen in this illustration taken, March 10, 2025. (Reuters)

Elon Musk's SpaceX and its wholly-owned subsidiary xAI are competing in a secret new Pentagon contest to produce voice-controlled, autonomous drone swarming technology, Bloomberg News reported on Monday, citing people familiar with the matter.

SpaceX, xAI and the Pentagon's defense innovation unit did not immediately respond to requests for comment. Reuters could not independently verify the report.

Texas-based SpaceX recently acquired xAI in a deal that combined Musk's major space and defense contractor with the billionaire entrepreneur's artificial intelligence startup. It occurred ahead of SpaceX's planned initial public offering this year.

Musk's companies are reportedly among a select few chosen to participate in the $100 million prize challenge initiated in January, according to the Bloomberg report.

The six-month competition aims to produce advanced swarming technology that can translate voice commands into digital instructions and run multiple drones, the report said.

Musk was among a group of AI and robotics researchers who wrote an open letter in 2015 that advocated a global ban on “offensive autonomous weapons,” arguing against making “new tools for killing people.”

The US also has been seeking safe and cost-effective ways to neutralize drones, particularly around airports and large sporting events - a concern that has become more urgent ahead of the FIFA World Cup and America250 anniversary celebrations this summer.

The US military, along with its allies, is now racing to deploy the so-called “loyal wingman” drones, an AI-powered aircraft designed to integrate with manned aircraft and anti-drone systems to neutralize enemy drones.

In June 2025, US President Donald Trump issued the Executive Order (EO) “Unleashing American Drone Dominance” which accelerated the development and commercialization of drone and AI technologies.


SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
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SVC Develops AI Intelligence Platform to Strengthen Private Capital Ecosystem

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA
The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights- SPA

Saudi Venture Capital Company (SVC) announced the launch of its proprietary intelligence platform, Aian, developed in-house using Saudi national expertise to enhance its institutional role in developing the Kingdom’s private capital ecosystem and supporting its mandate as a market maker guided by data-driven growth principles.

According to a press release issued by the SVC today, Aian is a custom-built AI-powered market intelligence capability that transforms SVC’s accumulated institutional expertise and detailed private market data into structured, actionable insights on market dynamics, sector evolution, and capital formation. The platform converts institutional memory into compounding intelligence, enabling decisions that integrate both current market signals and long-term historical trends, SPA reported.

Deputy CEO and Chief Investment Officer Nora Alsarhan stated that as Saudi Arabia’s private capital market expands, clarity, transparency, and data integrity become as critical as capital itself. She noted that Aian represents a new layer of national market infrastructure, strengthening institutional confidence, enabling evidence-based decision-making, and supporting sustainable growth.

By transforming data into actionable intelligence, she said, the platform reinforces the Kingdom’s position as a leading regional private capital hub under Vision 2030.

She added that market making extends beyond capital deployment to shaping the conditions under which capital flows efficiently, emphasizing that the next phase of market development will be driven by intelligence and analytical insight alongside investment.

Through Aian, SVC is building the knowledge backbone of Saudi Arabia’s private capital ecosystem, enabling clearer visibility, greater precision in decision-making, and capital formation guided by insight rather than assumption.

Chief Strategy Officer Athary Almubarak said that in private capital markets, access to reliable insight increasingly represents the primary constraint, particularly in emerging and fast-scaling markets where disclosures vary and institutional knowledge is fragmented.

She explained that for development-focused investment institutions, inconsistent data presents a structural challenge that directly impacts capital allocation efficiency and the ability to crowd in private investment at scale.

She noted that SVC was established to address such market frictions and that, as a government-backed investor with an explicit market-making mandate, its role extends beyond financing to building the enabling environment in which private capital can grow sustainably.

By integrating SVC’s proprietary portfolio data with selected external market sources, Aian enables continuous consolidation and validation of market activity, producing a dynamic representation of capital deployment over time rather than relying solely on static reporting.

The platform offers customizable analytical dashboards that deliver frequent updates and predictive insights, enabling SVC to identify priority market gaps, recalibrate capital allocation, design targeted ecosystem interventions, and anchor policy dialogue in evidence.

The release added that Aian also features predictive analytics capabilities that anticipate upcoming funding activity, including projected investment rounds and estimated ticket sizes. In addition, it incorporates institutional benchmarking tools that enable structured comparisons across peers, sectors, and interventions, supporting more precise, data-driven ecosystem development.