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At close · Thu, Aug 27, 2026
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HomeEarningsPreviewsMarvell’s earnings test hinges on data center growth a…

Marvell’s earnings test hinges on data center growth and custom silicon

Investors will focus on Marvell’s data center performance and its custom silicon push after the company’s Alphabet chip deal that was linked to warrants tied to $120 billion in potential purchases.

Marvell Technology is set to report earnings Thursday, Aug. 27 after the close, with investors looking to see whether the AI infrastructure buildout is broadening beyond GPU demand into custom silicon, networking, and optical interconnects. The setup comes one day after NVIDIA posted blowout results and strong demand guidance, sharpening scrutiny on whether hyperscaler spending is translating into measurable growth for key infrastructure suppliers. MarketBeat Ratings frames Marvell as one of the more prominent AI infrastructure names outside the GPU leaders.

Marvell operates across the layers needed for AI data centers beyond chips, including optical interconnects, high-speed SerDes, Ethernet switching, and custom silicon used to connect and manage AI clusters. Ahead of the print, MarketBeat Ratings says the most closely watched item will be growth in Marvell’s data center segment as hyperscalers continue investing in network buildouts.

A central theme is Marvell’s custom silicon strategy, which is designed around hyperscalers increasingly wanting tailored chips rather than relying only on off-the-shelf components. MarketBeat Ratings points to Marvell’s recent custom chip deal with Alphabet, which included warrants tied to $120 billion in potential purchases, describing the agreement as validation of Marvell’s scaling custom silicon ambitions.

MarketBeat Ratings also notes that the Alphabet-linked deal was read as a competitive challenge to Broadcom in custom AI chips, with Broadcom shares falling more than 10% on the news. For Marvell, the earnings report is positioned as the next read on whether its infrastructure role is gaining traction as AI demand accelerates across the supply chain.

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