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Alibaba and Baidu Turn to In-House Chips for AI Training Amid U.S. Restrictions

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Alibaba and Baidu have begun using their own internally designed chips to train AI models, partly replacing Nvidia’s processors, according to a report from The Information. The move signals a major shift in China’s AI development strategy, as U.S. export controls continue to restrict access to advanced American-made semiconductors.

Key Developments

  • Alibaba has used its homegrown chips since early 2025 to train smaller AI models.

  • Baidu is testing its Kunlun P800 chip to train new versions of its Ernie AI model.

  • Both companies still rely on Nvidia for their most advanced models but are working to reduce dependence.

Impact on Nvidia

Nvidia remains dominant in AI training hardware, but China accounts for a large share of its business. The firm’s most powerful U.S.-approved chip for China, the H20, lags behind the H100 and Blackwell series — but still outperforms most Chinese alternatives.

However, employees cited by The Information said Alibaba’s latest AI chip matches the performance of Nvidia’s H20, narrowing the gap between U.S. and Chinese hardware.

An Nvidia spokesperson responded: “The competition has undeniably arrived … We’ll continue to work to earn the trust and support of mainstream developers everywhere.”

Geopolitical Pressure

  • U.S. export restrictions have pushed Chinese companies to accelerate domestic chip design.

  • Beijing has urged firms to rely on home-grown semiconductor technology as part of its strategic autonomy push.

  • Nvidia CEO Jensen Huang recently said talks with the White House over permission to sell a less advanced next-gen chip to China will take time.

According to the report, Nvidia has agreed to give the Trump administration 15% of China sales of its H20 chips in exchange for continued export licenses.

The Bigger Picture

China’s pivot toward domestic AI chips marks both a risk to Nvidia’s China revenues and a milestone for Chinese chipmakers, who are beginning to close the performance gap under intense geopolitical and economic pressure.

Nvidia CEO Jensen Huang to Meet Former President Trump Ahead of China Visit

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Nvidia CEO Jensen Huang is scheduled to meet former U.S. President Donald Trump at the White House on Thursday, a day before Huang’s planned trip to China, according to a source familiar with the matter. The meeting takes place as Nvidia’s market valuation recently surpassed $4 trillion for the first time, underscoring the company’s position as one of Wall Street’s most valuable stocks.

Specific details about the agenda of the discussions have not been disclosed. Bloomberg was the first to report the meeting, while neither Nvidia nor the White House immediately responded to Reuters’ requests for comment.

Huang has previously criticized the export restrictions imposed by the Trump administration in April, which halted Nvidia’s ability to sell its H20 AI chip to China—a product Huang described as a “springboard to global success.” These U.S. export curbs resulted in a $2.5 billion loss in sales for Nvidia in the first quarter, with the company forecasting an $8 billion revenue impact in the second quarter.

Due to these stringent trade restrictions, Huang announced in June that Nvidia would exclude China from its revenue and profit projections going forward.

Nvidia Briefly Hits Historic $3.92 Trillion Market Value Amid AI Boom

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Nvidia (NVDA.O) briefly surged to a market capitalization of $3.92 trillion on Thursday, putting it on track to become the most valuable company ever, fueled by Wall Street’s strong optimism around artificial intelligence (AI).

Key Highlights

  • Nvidia’s shares rose as much as 2.4% to $160.98, surpassing Apple’s record closing market cap of $3.915 trillion set on December 26, 2024.

  • At the time of the latest update, shares were up 1.5% at $159.60, with a market cap just under Apple’s record, at $3.89 trillion.

  • Nvidia’s AI-focused chips are in high demand for training large AI models, driving significant growth for the Santa Clara-based company.

Market Context

  • Microsoft holds the second spot in market value at $3.7 trillion, with shares rising 1.7% to $499.56.

  • Apple sits third with a market cap of $3.19 trillion after a 0.8% increase.

  • Other tech giants racing to build AI data centers and dominate AI include Amazon, Meta, Alphabet, and Tesla, all fueling demand for Nvidia’s high-end processors.

Industry and Stock Insights

  • Joe Saluzzi, co-manager at Themis Trading, remarked on the incredible scale of market valuations, noting the AI-driven surge pushing companies into multi-trillion-dollar territory.

  • Nvidia’s valuation has nearly octupled in four years, from $500 billion in 2021 to almost $4 trillion.

  • The company’s value now exceeds the combined stock markets of Canada and Mexico and all publicly listed companies in the UK.

  • Nvidia trades at about 32 times analysts’ forward earnings—below its five-year average of 41—reflecting growing earnings estimates outpacing stock gains.

  • The stock has rebounded over 68% since early April lows caused by trade uncertainty.

Broader Impact

  • Nvidia’s growth underscores Wall Street’s massive bets on generative AI technologies, as its hardware forms the backbone of many AI systems.

  • Nvidia now makes up 7% of the S&P 500 index; combined with Microsoft, Apple, Amazon, and Alphabet, these five tech giants constitute 28% of the index.

  • Despite optimism, some experts like Kim Forrest of Bokeh Capital Partners caution that current AI models might not fully live up to the hype.

Company Background

  • Founded in 1993 by CEO Jensen Huang, Nvidia evolved from a niche graphics chipmaker to a leading AI technology company.

  • The company replaced Intel on the Dow Jones Industrial Average last November, marking a significant industry shift toward AI-focused semiconductor development.