Hedge fund billionaire Peter Thiel sold his entire stake in Nvidia and started a position in Microsoft during the third quarter.

Beyond training, Chinese tech companies also use south-east Asian data centres to service their overseas customers, as Alibaba and ByteDance seek to grow their share of the global cloud computing market. Chinese companies are also expanding access to data centres in other regions such as the Middle East.

This year’s revenues are anticipated to be around $215 billion, with the figure expected to surpass $300 billion next year.

The point being that while demand for Blackwell is "off the charts," this only tells part of the story. Demand for Nvidia's hardware is robust among a very narrow group of OEMs, which leaves Nvidia exposed if one or more of its top customers encounter a problem.

To be clear, Nvidia’s graphics processing units (GPUs) remain the gold standard for the AI industry. But Google’s TPUs — which power its highly praised Gemini 3 — are cheaper to develop and require less power. Some industry experts estimate that TPUs offer up to four times better performance per dollar than comparable GPUs.

Nvidia’s sales of the computing chipsets powering the artificial intelligence craze surged beyond the lofty bar set by stock market analysts in a performance that may ease recent jitters about a Big Tech boom turning into a bust that topples the world’s most valuable company.

Is there a more promising option? It appears that its counterpart, NVIDIA, offers you more. NVIDIA (NASDAQ: NVDA) stock

Top Chinese firms are training their artificial intelligence models abroad to access Nvidia's chips and avoid U.S. measures aimed at curbing their progress in advanced technology, Financial Times reported on Thursday.

Nvidia has been subject to criticism over circular AI deals — as the leading AI chipmaker has invested in its own customers — with the famed "Big Short" investor Michael Burry recently betting on the company's decline and claiming the AI market is like the dot-com bubble.

"There is no question that Nvidia will make a bunch of money," Gary Marcus, a professor emeritus of psychology and neuroscience at New York University, who specializes in AI, told ABC News. "There are many questions about where the market is headed after this initial burst of enthusiasm."

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