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.



Indian PM, President of Saudi Arabia’s SDAIA Discuss AI Cooperation 

Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
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Indian PM, President of Saudi Arabia’s SDAIA Discuss AI Cooperation 

Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)
Indian Prime Minister Narendra Modi and President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi meet on the sidelines of the India AI Impact Summit 2026. (SPA)

Indian Prime Minister Narendra Modi held talks with President of the Saudi Data and Artificial Intelligence Authority (SDAIA) President Dr. Abdullah Al-Ghamdi on the sidelines of the India AI Impact Summit 2026, reported the Saudi Press Agency on Friday.

Discussions focused on knowledge transfer and the exchange of expertise to accelerate digital development in both nations. They also tackled expanding bilateral cooperation in data and AI.

Al-Ghamdi commended India’s leadership in hosting the summit, noting that such international partnerships are essential for harnessing advanced technology to benefit humanity and achieve shared strategic goals.


India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
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India Chases 'DeepSeek Moment' with Homegrown AI

A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT
A handout photo made available by the Press Information Bureau (PIB) of Indian Prime Minister Narendra Modi speaking with global leaders at the AI Impact Summit 2026 at Bharat Mandapam in New Delhi, India, 19 February 2026.EPA/PRESS INFORMATION BUREAU HANDOUT HANDOUT

Fledgling Indian artificial intelligence companies showcased homegrown technologies this week at a major summit in New Delhi, underpinning big dreams of becoming a global AI power.

But analysts said the country was unlikely to have a "DeepSeek moment" -- the sort of boom China had last year with a high-performance, low-cost chatbot -- any time soon, AFP reported.

Still, building custom AI tools could bring benefits to the world's most populous nation.
At the AI Impact Summit, Prime Minister Narendra Modi lauded new Indian AI models, along with other examples of the country's rising profile in the field.

"All the solutions that have been presented here demonstrate the power of 'Made in India' and India's innovative qualities," Modi said Thursday.

One of the startups making a buzz at the five-day summit was Sarvam AI, which this week released two large language models it says were trained from scratch in India.

Its models are optimized to work across 22 Indian languages, says the company, which received government-subsidized access to advanced computer processors.

The five-day summit, which wraps up Friday, is the fourth annual international meeting to discuss the risks and rewards of the fast-growing AI sector.

It is the largest yet and the first in a developing country, with Indian businesses striking deals with US tech giants to build large-scale data center infrastructure to help train and run AI systems.

On Friday, Abu Dhabi-based tech group G42 said the United Arab Emirates would deploy an AI supercomputer system in India, in a project "designed to lower barriers to AI innovation".

So-called sovereign AI has become a priority for many countries hoping to reduce dependence on US and Chinese platforms while ensuring that systems respect local regulations, including on data privacy.

AI models that succeed in India "can be deployed all over the world", Modi said on Thursday.

But experts said the sheer computational might of the United States would be hard to match.

"Despite the headline pledges, we don't expect India to emerge as a frontier AI innovation hub in the near term," said Reema Bhattacharya, head of Asia research at risk intelligence company Verisk Maplecroft.

"Its more realistic trajectory is to become the world's largest AI adoption market, embedding AI at scale through digital public infrastructure and cost-efficient applications," she said.

Another Indian company that drew attention with product debuts this week was the Bengaluru-based Gnani.ai, which introduced its Vachana speech models at the summit.

Trained on more than a million hours of audio, Vachana models generate natural-sounding voices in Indian languages that can process customer interactions and allow people to interact with digital services out loud.

Job disruption and redundancies, including in India's huge call center industry, have been one key focus of discussions at the Delhi summit.

Prihesh Ratnayake, head of AI initiatives at think-tank Factum, told AFP that the new Indian AI models were "not really meant to be global".

"They're India-specific models, and hopefully we'll see their impact over the coming year," he said.

"Why does India need to build for the global scale? India itself is the biggest market."
And Nanubala Gnana Sai at the Cambridge AI Safety Hub said that homegrown models could bring other benefits.

Existing models, even those developed in China, "have intrinsic bias towards Western values, culture and ethos -- as a product of being trained heavily on that consensus", Sai told AFP.

India already has some major strengths, including "technology diffusion, eager talent pool and cheap labor", and dedicated efforts can help startups pivot to artificial intelligence, he said.

"The end-product may not 'rival' ChatGPT or DeepSeek on benchmarks, but will provide leverage for the Global South to have its own stand in an increasingly polarized world."


Report: Nvidia Nears Deal for Scaled-down Investment in OpenAI

Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
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Report: Nvidia Nears Deal for Scaled-down Investment in OpenAI

Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP
Nvidia chief executive Jensen Huang has insisted that the AI chip powerhouse is committed to a big investment in ChatGPT-maker OpenAI. Lionel BONAVENTURE / AFP

Nvidia is on the cusp of investing $30 billion in OpenAI, scaling back a plan to pump $100 billion into the ChatGPT maker, the Financial Times reported Thursday.

The AI-chip powerhouse will be part of OpenAI's new funding round with an agreement that could be concluded as early as this weekend, according to the Times, which cited unnamed sources close to the matter.

Nvidia declined to comment on the report.

Nvidia chief executive Jensen Huang has insisted that the US tech giant will make a "huge" investment in OpenAI and dismissed as "nonsense" reports that he is unhappy with the generative AI star.

Huang made the remarks late in January after the Wall Street Journal reported that Nvidia's plan to invest up to $100 billion in OpenAI had been put on ice.

Nvidia announced the plan in September, with the investment helping OpenAI build more infrastructure for next-generation artificial intelligence.

The funding round is reported to value OpenAI at some $850 billion.

Huang told journalists that the notion of Nvidia having doubts about a huge investment in OpenAI was "complete nonsense."

Huang insisted that Nvidia was going ahead with its investment in OpenAI, describing it as "one of the most consequential companies of our time".

"Sam is closing the round, and we will absolutely be involved in the round," Huang said, referring to OpenAI chief executive Sam Altman.

"We will invest a great deal of money."

Nvidia has become the coveted supplier of processors needed for training and operating the large language models (LLM) behind chatbots like OpenAI's ChatGPT or Google Gemini.

LLM developers like OpenAI are directing much of the mammoth investment they have received into Nvidia's products, rushing to build GPU-stuffed data centers to serve an anticipated flood of demand for AI services.

The AI rush, and its frenzy of investment in giant data centers and the massive purchase of energy-intensive chips, continues despite signs of concern in the markets.