Marvell Extends AI Rally After Jensen Huang’s Trillion-Dollar Call

Marvell Technology extended its two-day rally on Wednesday after Nvidia CEO Jensen Huang called the chipmaker the next “trillion-dollar company” during Computex in Taipei.

MRVL opened near $318, putting the stock about 45% above its pre-rally level and adding roughly $90 billion in market value from Marvell’s market cap of just under $192 billion before the move. The stock later traded around $306, still leaving Marvell near $273 billion in market value and up close to 40% across the two-day surge.

The move shows how quickly AI infrastructure stocks can reprice when the market sees a direct path into Nvidia’s ecosystem. Nvidia already invested $2 billion in Marvell earlier this year through a partnership built around NVLink Fusion, custom XPUs, scale-up networking, silicon photonics and AI-RAN infrastructure.

Connectivity Becomes The Next AI Bottleneck

The rally is not only about a viral quote. Marvell sits in one of the most important parts of the AI data-center stack: connectivity.

AI clusters need thousands of GPUs, CPUs, accelerators, memory systems and networking components to move data fast enough for training and inference. Nvidia dominates compute, but the next constraint is increasingly networking, switching, optical interconnects and custom silicon that can keep massive AI systems linked together.

Marvell reinforced that message this week with the launch of Teralynx T100, a 102.4 Tbps switch silicon platform built for AI and cloud data centers. The company is positioning the chip around lower latency and lower power consumption, two critical problems as data-center operators scale larger AI clusters.

Marvell CEO Matt Murphy also framed data-center connectivity as the next major bottleneck after compute and memory. He said data centers have grown from less than 10% of Marvell revenue several years ago to about 75% of revenue last quarter.

AI Capital Keeps Flooding Infrastructure

Marvell’s surge adds another pressure point to the AI capital race. Investors are rewarding companies tied to chips, memory, networking, optical systems, power and data-center buildouts as AI demand keeps moving from software hype into physical infrastructure.

The same theme is already reshaping broader markets. Alphabet’s planned $80 billion stock sale showed how much capital Big Tech may need for AI compute, while Anthropic’s $65 billion raise pushed private AI valuations closer to the trillion-dollar club.

That wave is also affecting crypto and other liquid risk assets. Bitcoin’s recent weakness has been tied partly to a wider risk-capital rotation as investors make room for mega AI and space-sector allocations. The latest Bitcoin selloff showed how AI equity demand can compete with crypto for the same pool of speculative capital.

Marvell is now trading like one of the clearest beneficiaries of that rotation. The company is still far from a $1 trillion valuation, but Huang’s endorsement has pushed it into a new market tier. If AI infrastructure spending keeps accelerating, investors are no longer looking only at GPU leaders. They are chasing the companies that move data between the chips.

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