US to Allow Nvidia H200 Chip Shipments to China, Trump Says 

A Nvidia logo appears in this illustration taken August 25, 2025. (Reuters) 
A Nvidia logo appears in this illustration taken August 25, 2025. (Reuters) 
TT

US to Allow Nvidia H200 Chip Shipments to China, Trump Says 

A Nvidia logo appears in this illustration taken August 25, 2025. (Reuters) 
A Nvidia logo appears in this illustration taken August 25, 2025. (Reuters) 

The United States will allow Nvidia's H200 processors, its second-best artificial intelligence chips, to be exported to China and collect a 25% fee on such sales, US President Donald Trump said on Monday.

The decision appears to settle a US debate about whether Nvidia and rivals should maintain their global lead in AI chips by selling to China or withhold the exports, though Beijing has told companies not to use US technology, leaving it unclear whether Trump's decision would lead to new sales.

Nvidia shares rose 2% in after-hours trading after Trump made the announcement on Truth Social, following a 3% rise during the day on a report by Semafor.

Trump said in his post that he had informed President Xi Jinping of China, where Nvidia's chips are under government scrutiny, about the move and that he "responded positively."

He said the US Commerce Department was finalizing details of the arrangement and the same approach would apply to other AI chip firms such as Advanced Micro Devices and Intel.

Trump's post said the fee to be paid to the US government was "$25%", and a White House official confirmed he meant 25%, higher than the 15% proposed in August.

"We will protect National Security, create American Jobs, and keep America’s lead in AI," Trump wrote on Truth Social. "NVIDIA’s US Customers are already moving forward with their incredible, highly advanced Blackwell chips, and soon, Rubin, neither of which are part of this deal."

Trump did not say how many H200 chips would be authorized for shipment or what conditions might apply, only that exports would occur "under conditions that allow for continued strong National Security."

Administration officials consider the move a compromise between sending Nvidia's latest Blackwell chips to China, which Trump has declined to allow, and sending China no US chips at all, which officials believe would bolster Huawei's efforts to sell AI chips in China, a person familiar with the matter said.

"Offering H200 to approved commercial customers, vetted by the Department of Commerce, strikes a thoughtful balance that is great for America," Nvidia said in a statement.

Intel declined to comment. The US Commerce Department, which oversees export controls, and AMD did not respond to requests for comment.

A White House official said that the 25% fee would be collected as an import tax from Taiwan, where the chips are made, to the United States, where the chips will undergo a security review by US officials before being exported to China.

FEARS OF CHIPS STRENGTHENING CHINA'S MILITARY

China hawks in Washington are concerned that selling more advanced AI chips to China could help Beijing supercharge its military, fears that had first prompted limits on such exports by the Biden administration.

The Trump administration had been considering greenlighting the sale, sources told Reuters last month. Trump said last week he met with Nvidia CEO Jensen Huang and that the executive was aware of where he stood on export controls.

"It’s a terrible mistake to trade off national security for advantages in trade," said Eric Hirschhorn, who was a senior Commerce Department official during the Obama administration. "It cuts against the consistent policies of Democratic and Republican administrations alike not to assist China’s military modernization."

According to a report released on Sunday by the non-partisan think tank, the Institute for Progress (IFP), the H200 would be almost six times as powerful as the H20, the most advanced AI semiconductor that can legally be exported to China, after the Trump administration reversed its short-lived ban on such sales this year.

The Blackwell chip now in use by US AI firms is about 1.5 times faster than H200 chips for training AI systems, the IFP said, and five times faster for inferencing work where AI models are put to use. Nvidia's own research has suggested Blackwell chips are 10 times faster than H200 chips for some tasks.

Several Democratic US senators in a statement described Trump's decision as a "colossal economic and national security failure" that would be a boon to China's industry and military.

Republican Representative John Moolenaar, who chairs the House China Select Committee, said in a statement to Reuters that China would use the chips to strengthen its military capabilities and surveillance.

"Nvidia should be under no illusions - China will rip off its technology, mass-produce it themselves and seek to end Nvidia as a competitor," he said.

CHINA EYES POTENTIAL SECURITY RISKS

The approval, however, comes as China is strengthening its resolve to wean the country off its reliance on Nvidia's chips. China's cyberspace regulator in July also accused Nvidia's H20 chips of potentially carrying backdoor security risks, an allegation Nvidia has denied.

In recent months, Beijing has cautioned Chinese tech companies against buying chips that Nvidia downgraded to sell to the Chinese market, which are the H20, RTX 6000D and L20, two sources said.

"Chinese firms want H200s, but the Chinese state is driven by paranoia and pride," said Craig Singleton, a senior fellow at the Washington think tank Foundation for Defense of Democracies. "Washington may approve the chips, but Beijing still has to let them in."

The H200 change of stance comes the same day that Trump's Justice Department announced it had cracked a China-linked chip smuggling ring that in late 2024 and early 2025 exported and attempted to export at least $160 million worth of controlled Nvidia H100 and H200 chips.

Chris McGuire, an expert on technology and national security who served at the US State Department until this summer, said Chinese firms would likely still buy H200s, given that the chip "is better than every chip the Chinese can make."

China's domestic AI chip companies now include tech giant Huawei Technologies, which in September released a three-year product roadmap, as well as smaller players such as Cambricon and Moore Threads.

China's SSE STAR Chip Index and the CSI Semiconductor Industry Index both dropped more than 1% at market open on Tuesday but soon recovered most of the losses.



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)
TT

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)
TT

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
TT

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.