Marvell Technology Must Position Itself as The ‘Anti-Broadcom’

Broadcom and Marvell both crushed their AI quarters, but the real story is how one company's weakness quietly became the other's most powerful sales pitch.

Published September 9, 2026, 9:47am ET · 3 min read

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Marvell Technology (NASDAQ: MRVL | MRVL Price Prediction) and Broadcom (NASDAQ: AVGO) both delivered blowout AI quarters, yet they now sit on opposite ends of the custom silicon spectrum. Broadcom just posted $29.591B in revenue with AI chips alone at $16.7B. Marvell’s entire business came in at $2.739B. That size gap frames Marvell’s pitch as the focused alternative.

Two AI Beats, Very Different Scales

Marvell’s Q2 FY27 revenue rose 36.5% year over year, with Data Center reaching 79% of the mix and growing 46%. CEO Matt Murphy said “AI-related bookings remain exceptionally robust” and lifted the FY27 and FY28 outlooks again. Non-GAAP operating margin reached 36.6%, closing in on the company’s 38% to 40% long-term target.

Broadcom’s report was a different animal. AI semiconductor revenue jumped 221% year over year, and Hock Tan guided Q4 AI revenue to $21.7B. He told investors Broadcom has secured supply to gain double AI revenue to approximately $115 billion in fiscal 2027 and $230 billion in 2028. No rival can casually match that scale.

Focused Specialist Versus Sprawling Platform

Broadcom is really three businesses in one: custom XPUs for six hyperscale customers including Google, Anthropic, OpenAI, and Meta; Tomahawk Ethernet switching; and the VMware software stack, which added $8.752B in Q3. Tan is even helping finance customer buildouts through the AI XPV platform with Apollo and Blackstone.

Marvell is doing the opposite. Murphy’s pitch is speed and customization. The expanded Google agreement, which includes a warrant for up to 7% of Marvell’s shares tied to revenue milestones, spans inference accelerators, storage controllers, NICs, memory interface controllers, and near-memory compute. Layer in the Celestial AI and XConn acquisitions, and MRVL looks like the pure-play optical and custom silicon partner hyperscalers can lean on without feeding Broadcom’s leverage.

Lens Marvell Broadcom
Core Bet Focused custom silicon plus optics End-to-end AI platform plus software
Near-Term AI Scale Custom ramps in H2 FY27 $21.7B AI revenue guide
Key Vulnerability Google concentration Supply and financing exposure

 

Why October 6 Is the Real Test

Marvell’s October 6, 2026 Investor Day is the catalyst worth circling. Murphy hinted at “significant upside bias” to the prior $10 billion kind of plus fiscal 2029 custom revenue target. I want to see how much of that comes from Google versus other hyperscalers, because customer concentration cuts both ways (we reverse-engineered what the biggest AI chip winners looked like early in a free playbook here).

Why I Like Marvell’s Setup More From Here

Broadcom is the safer compounder. But at a $1.753T market cap versus Marvell’s $197.7B, an incremental billion of AI revenue moves the needle far less at AVGO. MRVL climbed 242.26% over the past year against AVGO’s 7.41%, and the anti-Broadcom narrative still has room to run if Custom doubles in FY28 as guided. If you want steady free cash flow and enterprise software optionality, Broadcom fits better. If Investor Day underwhelms, the VMware annuity could make AVGO the more defensible holding to revisit.

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Alex Sirois

Alex Sirois is a financial writer with experience spanning both retail and institutional investing. He has written for InvestorPlace and held roles at BNY Mellon and Bernstein, giving him a perspective that bridges Main Street portfolios and Wall Street analysis.

Alex holds an MBA from George Washington University and has built his career across multiple industries, including e-commerce, education, and translation — a breadth of experience that informs how he breaks down complex financial topics for everyday investors. His writing is conversational, actionable, and grounded in long-term, buy-and-hold investing principles.

At 247 Wall St., Alex focuses on delivering analysis that is both accessible and useful, with a clear emphasis on helping readers make more informed decisions with their money.

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