Google Taps Marvell for AI Chips in $12.2 Billion Deal, Diversifying Beyond Broadcom

Reviewed byNidhi Govil

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Google has granted Marvell Technology the right to sell up to $12.2 billion in shares through a warrant tied to custom AI chip purchases. The partnership expands Google's supplier base beyond longtime partner Broadcom, covering AI inference accelerators and components for its Tensor Processing Units ecosystem through fiscal year 2033.

Google has struck a major partnership with Marvell Technology that could reshape the AI hardware supply chain, granting the chipmaker a warrant to sell up to $12.2 billion of its shares tied directly to custom AI chip purchases

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. The deal marks a strategic shift as Google diversifies its custom silicon supply chain beyond its decade-long relationship with Broadcom.

Source: The Next Web

Source: The Next Web

Marvell Secures Google's Custom AI Chip Business

Under the agreement detailed in an SEC filing dated August 18, Google can purchase up to 58,970,907 Marvell shares at $206.58 each

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. The warrant vests in tranches tied to purchasing targets, with nearly 1.4 million shares vesting in the first year and the remainder unlocking with every $500 million in chip purchases through Marvell's 2033 fiscal year

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. If Google hits all targets, the partnership could generate roughly $120 billion in custom chip sales for Marvell over that period

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The expanded agreement covers products that "attach to the TPU ecosystem," including AI inference accelerators, storage controllers, network interface controllers, memory interface controllers, and near memory compute

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. These custom AI chip components support Google's Tensor Processing Units, the in-house chips Alphabet uses to build, train, and run AI models for both internal use and cloud customers

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Market Reactions Signal Competitive Shift

Stock movements immediately reflected the deal's competitive implications. Marvell shares jumped as much as 14 percent on the announcement day, ultimately closing up about 8 to 10 percent

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. Meanwhile, Broadcom stock fell approximately 4 to 5 percent as Wall Street weighed the implications of a new rival for Google's orders

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. Alphabet remained largely unchanged

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Source: Benzinga

Source: Benzinga

Wells Fargo responded to the announcement by upgrading its Marvell price target to $310 from $240, suggesting nearly 31 percent upside from Friday's close

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. Analyst Aaron Rakers characterized Marvell as "more of an idiosyncratic chip company, one that outperforms the overall chip industry growth rate in good and bad times," projecting the company could grow revenue at a 15 to 20 percent pace over the long term while building on leading operating margins

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Diversifying AI Chip Supply Chain Strategy

The partnership represents Google's calculated move to avoid over-reliance on any single supplier. Google has worked primarily with Broadcom on custom chips for most of the past decade, expanding that partnership as recently as April

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. Broadcom's involvement in building Tensor Processing Units was only made public earlier this year

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Morningstar analyst William Kerwin told Reuters the deal appears to be "a big win for Marvell" but characterized it as "a growing pie at Google for new sources, rather than a competitive displacement of Broadcom"

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. The SEC filing doesn't specify which exact technologies Google will adopt, nor does it clarify Broadcom's ongoing role—it simply confirms Google isn't putting all its eggs in one IP basket

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Google now positions itself to pit Marvell and Broadcom against each other on price and performance for custom silicon components

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. This approach mirrors how cloud providers typically acquire technologies from multiple vendors in areas like networking to ensure competitive pricing.

Potential Technology Applications

Marvell has developed a comprehensive suite of hardware IP over recent years, including high-speed SerDes used in network switches and networking controllers, multi-die XPU reference designs, CXL memory controllers, and silicon photonics interconnect

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. Google's interest in Marvell may stem particularly from the photonic memory technology Marvell acquired from Celestial AI late last year

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Unveiled earlier this month, Marvell's Photonic Fabric NIC and Photonic Fabric chiplet technologies allow multiple racks up to 50 meters away to share a common memory pool

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. Since Google's Tensor Processing Units already rely on high-speed optical circuit-switched links to communicate, the company could potentially use this technology to dynamically reallocate additional memory to different TPU clusters based on workload rather than attaching memory in fixed ratios

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. Because the link is optical, memory becomes a fungible resource that doesn't need to reside in the same system or rack.

Source: Benzinga

Source: Benzinga

Revenue Growth and Market Position

Marvell has surged 179 percent in 2026 as demand for data center infrastructure has accelerated amid the AI boom

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. Analysts polled by LSEG expect Marvell to report second-quarter revenue of $2.709 billion, up 35 percent year over year, with earnings of 92 cents per share representing nearly 38 percent growth

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. For the full fiscal year, analysts project more than 40 percent increases in both revenue and earnings per share year-over-year

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From the remainder of this year through 2032, Marvell is estimated to generate $190 billion in revenue according to Visible Alpha

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. The Google partnership could provide an over-60 percent bump to those projections

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. If Google smoothly ramps purchases to just under $5 billion in products each quarter, pre-deal expectations that Marvell would generate $43 billion in sales in 2032 could jump to around $62 billion

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Broader AI Industry Implications

The structure fits a pattern raising investor concerns about "circular" arrangements in the AI industry, where chipmakers' sales become tied to customers' stock or spending

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. This deal arrives days after Nvidia agreed to backstop up to $105 billion for a data center OpenAI is leasing in Ohio, and echoes AMD's October deal giving OpenAI an option to buy up to about 10 percent of its stock

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Google, Amazon, Meta, and Microsoft have all been designing custom silicon to reduce dependence on Nvidia, whose top AI accelerators sell for tens of thousands of dollars each

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. Alphabet is expected to generate about $3 billion from TPU-related infrastructure this year, with projections reaching $25 billion in 2027 according to Citizens analyst Andrew Boone

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. A recent reshuffle of Google's AI leadership shifted power toward its cloud business, placing greater emphasis on that infrastructure

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Watch how Google allocates orders between Marvell and Broadcom, whether the photonic memory technology appears in TPU deployments, and if other hyperscalers adopt similar multi-vendor strategies for custom AI chip components.

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