Biden to Cut China off from More Nvidia Chips, Expand Curbs to More Countries

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
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Biden to Cut China off from More Nvidia Chips, Expand Curbs to More Countries

The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)
The logo of technology company Nvidia is seen at its headquarters in Santa Clara, California February 11, 2015. (Reuters)

The Biden administration said on Tuesday it plans to halt shipments to China of more advanced artificial intelligence chips designed by Nvidia and others, part of a suite of measures aimed at stopping Beijing from getting cutting-edge US technologies to strengthen its military.

The rules, described by senior administration officials in a press briefing on Monday evening, restrict a broader swathe of advanced chips and chipmaking tools to a greater number of countries including Iran and Russia, and blacklist Chinese chip designers Moore Thread and Biren.

The new measures aim to hamper China's military development by closing loopholes in regulations released last October and will probably be updated "at least annually," according to Commerce Department Secretary Gina Raimondo.

The goal is to limit China's access to "advanced semiconductors that could fuel breakthroughs in artificial intelligence and sophisticated computers that are critical to (Chinese) military applications," she said, stressing the administration was not seeking to hurt Beijing economically.

The United States and China are locked in a years-long technology war, but the sweeping curbs released last October further escalated tensions between the superpowers.

China-only chips hit

In a statement following publication of the rules, Top AI chip designer Nvidia said it complies with regulations and does not expect "a near-term meaningful impact on our financial results."

The company, whose shares fell 7%, has made chips such as the A800 and H800 that walked right up the line of the previous rules to continue selling to China, and AMD, also impacted by the rules, has said it plans a similar strategy.

Nvidia's business has soared since the imposition of last year's rules because its China-only chips are still better than alternatives. The Silicon Valley firm is currently selling almost every chip it can procure as worldwide demand outstrips supply, but would be hurt in the long term as Chinese chip firms seek to fill any voids left by US companies.

Nvidia's A800 and H800 chips will be hit by the new regulations, due to a change in chip parameters aimed at capturing a greater number of chips.

But the rules will exempt most consumer chips used in laptops, smartphones and gaming, though some will be subject to licensing and notification requirements by US officials.

"The fact is, China, even after the update of this rule, will import hundreds of billions of dollars of semiconductors from the United States," Raimondo said, emphasizing that the goal of the measures was not to hammer US companies.

The previous rules imposed a two-pronged test that measured both a chip’s computing performance and its ability to communicate with other chips, an important measure in AI supercomputers where thousands of chips are strung together to chew through huge amounts of data.

Nvidia and Intel created special chips for the Chinese market that retained the powerful computing capabilities but limited communications speeds to stay inside the previous rules.

Biren and Moore Thread, whose US suppliers will now face a tough licensing requirement before shipping products to them, are both Chinese startups founded by former Nvidia employees in China and aim to compete with the US AI chip giant.

The rules released on Tuesday eliminate the communication speed limits and focus on computing performance, which will have the effect of halting sales of Nvidia's A800 and H800 chips for the China market, according to a senior administration official.

US officials on Tuesday added a new measure to restrict chips that exceed a certain level of "performance density," a measure focused on how much computing power can be packed into a given amount of silicon, a senior administration official said.

The senior administration official said this rule was meant to prevent companies from trying to work around restrictions on full chips by using a technology called "chiplets," where firms could try to join together small pieces called chiplets into a large chip that violates the rules.

Reuters reported in July that chiplets have become a core part of China’s technology strategy to advance its chip industry, and analysts have said that Chinese companies could use the technology to evade US restrictions.

Licensing expanded

The new measures also expand licensing requirements for exports of advanced chips to more than 40 additional countries that present risks of diversion to China and are subject to US arms embargoes, the officials said.

That measure appears to build on a letter received by Nvidia in August that it described as restricting shipments of its A100 and H100 chips beyond China to other regions including some countries in the Middle East.

Confirming a Reuters report, chips will be barred from being sent to units of firms located anywhere in the world if their parent companies are headquartered in China, Macau and other arms embargoed countries. The move is part of a bid to keep the chips from being illegally smuggled into China or remotely accessed by Chinese parent companies.

The Biden administration also hit 21 countries outside China with a licensing requirement for chipmaking tools. It also broadened the list of equipment restricted from going to that country to include some deep ultraviolet (DUV) lithography systems.

DUV is less advanced chipmaking equipment than state-of-the art extreme ultraviolent equipment (EUV), which has not yet been shipped to China, but can make chips nearly as advanced at greater cost.

Officials took pains to stress that Chinese officials were warned the rules were coming by National Security Advisor Jake Sullivan, Treasury Secretary Janet Yellen and Commerce Secretary Gina Raimondo, confirming a prior Reuters report.

The Semiconductor Industry Association said in a statement it was "evaluating the impact" of the new rules and urged the administration to work with allies. "Overly broad, unilateral controls risk harming the US semiconductor ecosystem without advancing national security," the group said.



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.