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Microsoft to shift Azure data centers to custom Maia chips, boosting Marvell, hurting Nvidia

Microsoft announced it will rely more on its custom Maia silicon for Azure data centers starting next year, scaling the Maia family to multi‑gigawatt deployments. The move is aimed at powering Microsoft’s own products and services, not at leasing compute to third parties yet. The shift is good news for Marvell Technology, Microsoft’s custom‑chip partner, and bad news for Nvidia, whose GPU market…

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Key points

  • Microsoft will shift Azure data centers to custom Maia chips, scaling to multi‑gigawatt deployments next year
  • Microsoft plans $175 billion in capital expenditures, two‑thirds for servers and networking
  • Marvell’s revenue $9.5 billion, expects tenfold growth, signed deal with Google for TPU chips

Microsoft plans to spend about $175 billion in capital expenditures on data centers next year, roughly two‑thirds of which will go toward servers and networking equipment. Marvell’s revenue was $9.5 billion over the last four quarters and it expects its custom AI and networking chips to grow revenue tenfold over five years. Marvell also signed a deal with Google to design inference‑optimized TPU versions, giving Alphabet an option to take a stake in Marvell.

The announcement highlights a broader trend of cloud providers moving toward custom silicon to improve price performance and control, while Nvidia faces pressure from competitors that can offer better task‑specific performance.

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Full story from fool.com · by Adam Levy · via Search: NVIDIAOpen source ↗

Microsoft CEO Satya Nadella Just Shared Bad News for Nvidia and Great News for This Rival Chipmaker

fool.com · 15 October 2026

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This text was published by fool.com and written by Adam Levy. 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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