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Nvidia Corp CEO Jensen Huang holds one of the company’s new RTX 4090 chips for computer gaming in this undated handout photo provided September 20, 2022.

Nvidia Corp | via Reuters

Nvidia stock rose more than 8% in extended trading on Wednesday after the company reported slightly higher revenue and net income than Wall Street expected, despite a year-over-year decrease in both categories. Here’s how the chipmaker did versus Refinitiv consensus expectations for the quarter ending January:

  • EPS: $0.88, adjusted, versus expectations of $0.81
  • Revenue: $6.05 billion, versus expectations of $6.00 billion

Nvidia reported $0.57 in GAAP net income per share. Nvidia forecast $6.5 billion in sales in its first quarter, higher than the $6.33 billion expected by Wall Street.

Although both revenue and earnings were down from last year’s $1.32 per share and $7.64 billion in sales, Nvidia has increasingly been seen by investors as one of the chip stocks best positioned to endure an economic slowdown that hurts PC and semiconductor sales.

Nvidia’s data center business, which includes chips for AI, continued to grow, suggested that it could continue to benefit heavily from artificial intelligence software like ChatGPT and Microsoft Bing’s AI chatbot. Nvidia’s graphics processors are well-suited to train and run machine learning software.

The stock was up about 45% in 2023 before Wednesday’s earnings report.

Nvidia CEO Jensen Huang said on a call with analysts that AI is at an “inflection point,” pushing businesses of all sizes to buy Nvidia chips to develop machine learning software.

“Generative AI’s versatility and capability has triggered a sense of urgency at enterprises around the world to develop and deploy AI strategies,” Huang said.

Most of Nvidia’s sales of GPUs for artificial intelligence fall into the company’s data center category. Data center revenue increased 11% on an annual basis to $3.62 billion. The company said the growth was because U.S. cloud service providers bought more products.

Gaming revenue was down, as expected, as sales were highly elevated in the past few years. The pandemic encouraged gamers to upgrade their systems with new graphics cards from companies like Nvidia, but sales significantly slowed in the past year.

Specifically, Nvidia reported $1.83 billion in fourth-quarter gaming revenue, a 46% drop from the same time last year. The company said the decline was because it was selling fewer chips to partners because they currently have too much stock.

Nvidia also said that it shipped fewer chips for game consoles during the quarter, which is reported inside the gaming category. Nintendo uses a Nvidia chip to power the Switch.

Other categories, such as professional visualization and automotive chips, remain much smaller than the company’s gaming and data center businesses. Nvidia’s professional visualization business for designers reported $226 million in revenue, down 65% annually, and automotive revenue was $294 million, up 135% from last year.

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Nvidia says its GPUs are a ‘generation ahead’ of Google’s AI chips

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Nvidia says its GPUs are a 'generation ahead' of Google's AI chips

Nvidia founder and CEO Jensen Huang looks on as US President Donald Trump speaks at the US-Saudi Investment Forum at the John F. Kennedy Center for the Performing Arts in Washington, DC on November 19, 2025.

Brendan Smialowski | Afp | Getty Images

Nvidia on Tuesday said its tech remains a generation ahead of the industry, in response to Wall Street’s concerns that the company’s dominance of AI infrastructure could be threatened by Google’s AI chips.

“We’re delighted by Google’s success — they’ve made great advances in AI and we continue to supply to Google,” Nvidia said in a post on X. “NVIDIA is a generation ahead of the industry — it’s the only platform that runs every AI model and does it everywhere computing is done.”

The post came after Nvidia saw its shares fall 3% on Tuesday after a report that Meta, one of its key customers, could strike a deal with Google to use its tensor processing units for its data centers.

In its post, Nvidia said its chips are more flexible and powerful compared with so-called ASIC chips — such as Google’s TPUs — which are designed for a single company or function. Nvidia’s latest generation of chips are known as Blackwell.

“NVIDIA offers greater performance, versatility, and fungibility than ASICs,” Nvidia said in its post.

Nvidia has more than 90% of the market for artificial intelligence chips with its graphics processors, analysts say, but Google’s in-house chips have gotten increased attention in recent weeks as a viable alternative to the Blackwell chips, which are expensive but powerful.

Unlike Nvidia, Google doesn’t sell its TPU chips to other companies, but it uses them for internal tasks and allows companies to rent them through Google Cloud.

Earlier this month, Google released Gemini 3, a well-reviewed state-of-the-art AI model that was trained on the company’s TPUs, not Nvidia GPUs.

“We are experiencing accelerating demand for both our custom TPUs and Nvidia GPUs,” a Google spokesperson said in a statement. “We are committed to supporting both, as we have for years.”

Nvidia CEO Jensen Huang addressed rising TPU competition on an earnings call earlier this month, noting that Google was a customer for his company’s GPU chips and that Gemini can run on Nvidia’s technology.

He also mentioned that he was in touch with Demis Hassabis, the CEO of Google DeepMind.

Huang said that Hassabis texted him to say that the tech industry theory that using more chips and data will create more powerful AI models — often called “scaling laws” by AI developers — is “intact.” Nvidia says that scaling laws will lead to even more demand for the company’s chips and systems.

WATCH: Meta reportedly in talks to use Google’s AI chips

Meta reportedly in talks to use Google's AI chips

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What Dick’s Sporting Goods’ earnings report tells us about Nike’s turnaround

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What Dick's Sporting Goods' earnings report tells us about Nike's turnaround

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Musk’s xAI to close $15 billion funding round in December: sources

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Musk's xAI to close  billion funding round in December: sources

Elon Musk attends the U.S.-Saudi Investment Forum in Washington, D.C., U.S., November 19, 2025.

Evelyn Hockstein | Reuters

Elon Musk’s artificial intelligence startup xAI is expected to close a $15 billion round at a $230 billion pre-money valuation next month, sources familiar with the matter told CNBC’s David Faber.

The deadline for allocation is the end of day on Tuesday, with the round expected to close on Dec. 19, the sources said.

This confirms earlier CNBC reporting that the company was raising $15 billion. The Tesla CEO later called the report on the round “False” in a post on the social media platform X.

At the time, sources told CNBC that xAI would use a large portion of the money for funding graphics processing units responsible for powering large language models.

CNBC had previously reported in September that the startup was looking to raise $10 billion at a $200 billion valuation.

The funding round is yet another sign of the insatiable demand for AI tools. Companies, including OpenAI and Anthropic, have raised billions and reached sky-high valuations as investors pour more money into companies building foundational AI models.

Sam Altman‘s OpenAI finalized a $6.6 billion-share sale at a $500 billion valuation last month, and Reuters recently reported that the ChatGPT maker was eying a $1 trillion initial public offering.

Anthropic closed a $13 billion funding round in September that roughly tripled its valuation from March.

Musk’s xAI is responsible for creating the Grok chatbot that has come under fire for disseminating hate speech, including antisemitic content. The company recently debuted Grokipedia, an AI-powered competitor to Wikipedia.

In March, Musk announced the merger of xAI with X in a deal valuing the social media platform at $33 billion.

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