Nvidia CEO crowns Marvell Technology the next trillion-dollar company as stock explodes 24%

Reviewed byNidhi Govil

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Marvell Technology shares surged over 24% after Nvidia CEO Jensen Huang declared the chipmaker could become the next trillion-dollar company. Speaking at Computex in Taipei alongside Marvell CEO Matt Murphy, Huang emphasized the critical role of Marvell's networking and connectivity chips in AI infrastructure as demand for autonomous AI models accelerates.

Nvidia CEO Endorses Marvell Technology as Future Trillion-Dollar Player

Marvell Technology shares exploded more than 24% in premarket trading Tuesday after Nvidia CEO Jensen Huang publicly declared the chipmaker could become the next trillion-dollar company

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. Speaking at the annual Computex trade show in Taipei alongside Marvell CEO Matt Murphy, Huang told the crowd: "The next trillion-dollar company, ladies and gentlemen"

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. The Marvell stock surge pushed shares to $273.70, poised to add more than $47.2 billion in market capitalization if gains held

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. The stock was changing hands around $258.58 in early morning trading, extending an already extraordinary 2026 run that has seen MRVL climb more than 158% year-to-date with a 52-week range stretching from $61.15 to $225.14

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Source: Benzinga

Source: Benzinga

AI Hardware Demand Drives Strategic Shift in Infrastructure

Jensen Huang's endorsement wasn't casual praise. He followed with a detailed explanation of why Marvell's networking chips and connectivity chips are central to the AI buildout

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. "When you take a computing challenge, and you break it down into numerous components, distributing it throughout the entire data center, connectivity becomes crucial," Huang said. "This is why Matt is performing so well, and why Marvell is so vital"

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. Matt Murphy opened his keynote by asserting that the next major wave of AI innovation will be driven by interconnection, arguing that focusing solely on processor or memory fails to capture the full picture of hardware efficiency

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. The thesis centers on a structural shift in AI infrastructure as training and inference workloads scale across hundreds of thousands of interconnected chips. Huang argued the bottleneck is no longer raw compute power—it's the data movement bottleneck

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Nvidia Investment in Marvell Signals Ecosystem Partnership

Huang reiterated Nvidia's previously announced $2 billion strategic investment in Marvell, framing the partnership as ecosystem complementarity rather than dependency under the NVLink Fusion platform

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. Earlier this year, Nvidia invested $2 billion in Marvell as part of its efforts to make it easier for customers to use the custom AI chips that the smaller company designs with Nvidia's networking gear and central processors

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. Marvell's optical interconnects, silicon photonics, and custom ASIC business sit in the middle of the connectivity challenge

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. The high-profile joint appearance at Computex in Taiwan on Tuesday underscored the critical role of next-generation network fabrics in the AI era

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Source: BNN

Source: BNN

Autonomous AI Models Fuel Demand for Advanced Connectivity

Huang cited the rise of autonomous AI models that can run workflows and solve problems as the reason why demand for Marvell and Nvidia's respective products is "going through the roof"

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. "Useful AI has arrived," Huang declared, predicting a surge in demand for AI hardware fueled by the emergence of these autonomous systems

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. Addressing the technical challenges of scaling massive AI data centers, Huang said that computing is becoming increasingly disaggregated and distributed, and to tie these sprawling systems together, the industry must rely heavily on advanced connectivity

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. The surge in AI adoption has fueled demand for specialized chips, which along with Marvell's interconnect technologies, play a critical role in advanced data centers by linking thousands of processors used to train and run AI models

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Optical Communications Replace Copper in AI Data Centers

Huang mapped out the future of AI infrastructure, highlighting a strategic transition from copper cables to optical communications

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. As AI workloads become more complex, copper is hitting its physical limits, gradually pushing companies to turn more to optoelectronics

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. Huang advocated for a pragmatic, cost-effective way to maximize the lifespan of existing copper architecture within AI systems while deploying more expensive optical links only where technically essential. "You use optics wherever you must, [and] you use copper wherever you can," said Huang

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Revenue Projections and Market Position

Marvell's data center segment accounts for roughly 76% of total revenue, and the company has raised its revenue outlook through fiscal 2027 and 2028, with analysts projecting its custom chip business to double by fiscal 2028

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. Marvell last week forecast that its custom chips business would surpass $10 billion in revenue in fiscal 2029, as cloud companies expand AI data centers

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. Marvell's current market cap is roughly $192 billion—meaning it would need to nearly quintuple to hit the $1 trillion threshold Huang envisions

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. Wall Street was already bullish heading into Tuesday, with the analyst consensus sitting at Buy with an average price target of $208 and a street-high of $300 from HSBC

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. Over the past month, MRVL has gained about 57.0% versus a 5.3% rise in the S&P 500 and is up roughly 200% year-to-date compared to the index's 10.6% gain

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