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Nvidia AI revenue grew 117%, Broadcom grew 221% last quarter

Nvidia and Broadcom are both benefiting from the surge in AI data center spending, but they serve different parts of the market. Nvidia sells general-purpose GPUs and complete server systems, leveraging its CUDA software platform which many developers already use. This allows customers to buy flexible computing solutions for training and inference without custom engineering.

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Key points

  • Nvidia's AI data center revenue grew 117% last quarter.
  • Broadcom's AI data center revenue grew 221% last quarter.
  • Nvidia sells general-purpose GPUs with CUDA software; Broadcom designs custom accelerators.

Broadcom takes a different approach by working with a smaller group of large buyers to design custom accelerators for specific workloads. It also sells the networking components and software needed to connect these chips. The article notes that Broadcom's AI data center revenue grew 221% last quarter, nearly twice the rate of Nvidia's 117% growth. This gap suggests a rapid shift in the market, though it does not definitively indicate which company is winning overall.

The ultimate outcome depends on how customers balance flexibility, efficiency, and the cost of building and running AI systems. Nvidia offers a ready-made platform, while Broadcom offers tailored solutions that may require more engineering effort but could be more efficient for specific tasks. The article frames this as a question of whether custom silicon will pull enough business away from general-purpose GPUs to reshape the industry's profit pool.

Full story from finance.yahoo.com · by Rick Orford · via Search: NVIDIAOpen source ↗

Nvidia vs. Broadcom: One Grew AI Revenue 221% Last Quarter. The Other Grew 117%.

finance.yahoo.com · 24 October 2026

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This text was published by finance.yahoo.com and written by Rick Orford. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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