As knowledge middle dominates, gaming wanes
The Nvidia DGX GB300 rack powered by Nvidia Grace Blackwell displayed on the exhibition ground in the course of the Nvidia GTC convention in San Jose, California, US, on Wednesday, March 18, 2026. Nvidia Corp.
David Paul Morris | Bloomberg | Getty Photos
Within the years earlier than the generative AI craze, Nvidia was primarily identified for its gaming chips. In fiscal 2020, over half its income got here from gaming, whereas simply 27% got here from the information middle.
Quick ahead to the current, and Nvidia is nearly completely an information middle firm. That a part of the enterprise made up 90% of income final fiscal 12 months, and there appears to be no stopping it.
Nvidia’s Grace Blackwell rack-scale techniques have lengthy been bought out, and Wall Road is now awaiting the ramping up shipments of its subsequent system, Vera Rubin.
In the meantime, gaming is now lower than 8% of Nvidia’s enterprise. And as CNBC reported final month, Nvidia’s relentless deal with knowledge middle purchasers has left avid gamers feeling betrayed, a actuality that is turn into much more obvious of late attributable to a world reminiscence scarcity that is led Nvidia to prioritize Blackwell and Rubin over GeForce gaming GPUs.
—Katie Tarasov
Uncertainty swirls round chip gross sales to China, regardless of Huang’s Beijing journey
Nvidia founder and CEO Jensen Huang waves after a welcome ceremony for US President Donald Trump on the Nice Corridor of the Folks in Beijing on Could 14, 2026.
Brendan Smialowski | Afp | Getty Photos
One large space of uncertainty is China, particularly pertaining to Nvidia’s older Hopper GPU, often known as H200. Huang was a last-minute addition to President Donald Trump’s China summit final week, however the go to did little to clear up whether or not H200 gross sales will probably be permitted within the nation.
Huang stated at Nvidia’s GTC convention in March that Nvidia had obtained H200 orders from China.
“We’re within the strategy of restarting our manufacturing,” Huang informed reporters on the occasion in San Jose, California.
Reuters reported final week {that a} handful of Chinese language firms have been accepted by the U.S. Commerce Division to buy H200s, together with Alibaba, Tencent, ByteDance and JD.com.
However one U.S. commerce consultant stated chip export controls weren’t mentioned within the China talks final week, suggesting a significant breakthrough on H200 gross sales might not be shut.
China as soon as accounted for at the very least one-fifth of Nvidia’s knowledge middle income, however the firm has been shut overseas since being informed by the Trump administration in April that it could require a license to export chips there and to a handful of different international locations.
—Katie Tarasov
Cerebras’ blockbuster IPO alerts new chip competitors
Cerebras Methods’ monster Nasdaq debut final week was a transparent sign that tech giants are hungry for alternate options to Nvidia’s pricey (and bought out) GPUs. The corporate’s market cap swelled to virtually $100 billion on its first day of buying and selling.
Cerebras makes a special kind of chip, often known as a customized ASIC — application-specific built-in circuit — that is been gaining floor as agentic AI shifts compute wants towards inference. Whereas GPUs excel on the parallel math crucial for coaching giant fashions, inference can occur on much less highly effective chips programmed for extra particular duties.
It is an more and more crowded area, with in-house ASICs now made by the likes of Google, Amazon, Meta and Microsoft. Cerebras operates its dinner-plate-sized chips inside its personal knowledge facilities, pitting it in opposition to cloud suppliers Google, Microsoft, Oracle and CoreWeave.
Nvida additionally makes customized ASICs in-house after spending $20 billion to accumulate Groq’s know-how in December, after which asserting customized Groq Language Processing Items at GTC in March.
—Katie Tarasov
Nvidia hit $5 trillion in October. How lengthy till $6 trillion?

Nvidia’s inventory is up roughly 20% to date this 12 months, underperforming a lot of its semiconductor friends however nonetheless sufficient of a acquire to assist the most important market cap on this planet.
Nvidia grew to become the primary $5 trillion firm in October, and inched nearer to reaching the $6 trillion report final week, although after a little bit of a pullback the quantity now sits at $5.5 trillion.
The corporate’s record-breaking run comes as chip firms not named Nvidia hit historic highs. Intel had its greatest month ever in April, as agentic AI spins up a main renaissance for the central processing unit. Reminiscence makers like Micron, in the meantime, have seen shares surge amid a scarcity for the important thing kind of chip wanted to assist AI.
Alphabet briefly surpassed Nvidia to turn into the world’s most beneficial firm in after-hours buying and selling earlier this month, however for now that seems to be a momentary blip. Google’s mother or father is presently price about $4.6 trillion.
—Katie Tarasov
Nvidia’s knowledge middle enterprise is booming as tech giants ramp up AI spending
Nvidia has been a number one beneficiary of the AI boon attributable to its graphics processing models, or GPUs, which can be used to coach and run highly effective basis fashions.
Information middle income for Nvidia’s fiscal first quarter is anticipated present an 87% enhance from a 12 months earlier to $73.1 billion, representing even sooner enlargement than the 75% year-over-year bounce within the prior quarter and 73% progress price in the identical interval a 12 months in the past.
The persistent progress displays the exploding capital expenditures from hyperscalers, that are snapping up GPUs for his or her knowledge middle computing infrastructure that underpins their AI initiatives.
On the identical day final month, Alphabet, Amazon, Meta and Microsoft all reported quarterly outcomes, giving buyers an up to date glimpse into their capex forecasts for the 12 months. Monetary corporations like Evercore and Financial institution of America are projecting the group will spend over $1 trillion on AI-related capex in 2027, which finally advantages Nvidia.
John Belton, portfolio supervisor at Gabelli Funds, stated in an e-mail on Tuesday that he is “in search of whether or not the corporate is broadening its buyer base as that is still a significant danger,” including that 5 names account for roughly half of Nvidia’s enterprise.
“I am questioning issues reminiscent of how sturdy the expansion inside that section of the enterprise is in addition to in the event that they’re increasing the shopper base and broadening the product set,” Belton stated.

