Nvidia is signaling a strategic pivot to a new class of AI-native customers that it believes will eventually become its largest source of revenue.
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Nvidia Sees 1 New Growth Driver Beyond Its Hyperscale Customers
Nvidia Corp. is charting its next phase of growth by focusing on a burgeoning market of “AI-native” clouds and enterprise customers, a segment CEO Jensen Huang predicts will ultimately surpass the company’s massive hyperscale business after it grew 31 percent sequentially to $37 billion in the first quarter.
"The second category is all of the AI native clouds... That segment is growing incredibly fast," Huang said on the May 20 earnings call, highlighting that this market is composed of thousands of companies that prefer to buy integrated AI factory solutions rather than building them from scratch.
The strategic shift was underscored by a new reporting structure that splits the company's dominant $75 billion data center business into two nearly equal parts: "Hyperscale" at $38 billion and "ACIE" (AI Clouds, Industrial, and Enterprise) at $37 billion. While hyperscale revenue grew 12 percent from the prior quarter, the ACIE segment's 31 percent sequential growth lends weight to Huang's forecast. The company guided for total second-quarter revenue of $91 billion, crushing analyst expectations.
At stake is Nvidia's ability to capture a larger share of the projected $3 trillion to $4 trillion annual AI infrastructure market by the end of the decade. By positioning itself as the essential full-stack provider for a diverse set of customers beyond the handful of tech giants, Nvidia is betting that its integrated platform—from chips to software—will be the indispensable foundation for a global AI economy valued in the tens of trillions of dollars.
The Rise of the AI Factory
The new "ACIE" segment addresses a fundamental shift in how AI is being deployed. Unlike hyperscale giants such as Amazon Web Services or Microsoft Azure, which design their own infrastructure, the emerging class of AI-native cloud providers, sovereign AI projects, and enterprises want to purchase complete, turnkey systems. Huang described this market as one where customers "wanna buy systems. They wanna operate systems. They don’t wanna design. They don’t wanna build it themselves."
This is where Nvidia's full-stack, integrated platform becomes a critical advantage over competitors like Advanced Micro Devices Inc. or Intel Corp. The company's ability to offer an entire AI factory—from GPUs and its new Vera CPUs to networking and software—makes it the only viable vendor for this rapidly expanding market. Strategic investments, including a $2 billion stake in AI cloud provider CoreWeave and a $1 billion partnership with Nokia to integrate AI into 5G networks, underscore Nvidia's strategy of building and securing this end-to-end ecosystem.
A $200 Billion Bet on Agentic AI
Further diversifying its growth narrative, Nvidia announced its "Vera" CPU, a processor designed specifically for "agentic AI" workloads. Huang explained that while GPUs handle the "thinking" in AI, CPUs are needed for orchestration, tool use, and memory management. The company sees a massive opportunity, placing the total addressable market for Vera at $200 billion and forecasting a staggering $20 billion in standalone CPU revenue this year alone.
"We’re going to need a lot more CPUs and Vera was designed to be an agentic CPU," Huang said. This move pits Nvidia directly against traditional CPU incumbents and signals its ambition to provide every critical component of the AI data center. The company's upcoming Vera Rubin platform, which combines the new CPU and next-generation GPUs, is already seeing massive demand, with every major frontier AI model company expected to adopt it from day one.
This article is for informational purposes only and does not constitute investment advice.
