Microsoft Shifts Toward In-House AI Chips to Cut Nvidia Reliance
Microsoft is accelerating its use of internally developed AI chips, a move that could widen profit margins and strengthen its artificial intelligence infrastructure.
Microsoft is moving to rely more heavily on its own homegrown artificial intelligence chips as the tech giant seeks to reduce its dependence on Nvidia, the dominant supplier of AI accelerators, according to a report from CNBC.
The strategic shift is driven by financial and competitive considerations. By developing and deploying proprietary silicon, Microsoft stands to improve gross margins on its cloud and AI services, which have come under scrutiny as the company scales its AI infrastructure at enormous cost.
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The move also positions Microsoft to exert greater control over its AI stack — the full suite of hardware and software that powers products ranging from Azure cloud services to Copilot AI assistants. Vertical integration of this kind has been pursued by rivals including Google and Amazon, both of which have invested heavily in custom chip programs to reduce their own exposure to Nvidia pricing and supply constraints.
Nvidia has been the primary beneficiary of the AI investment boom, with its H100 and successor GPU lines commanding premium prices across the industry. Any meaningful substitution by a hyperscaler the size of Microsoft would carry implications for Nvidia's revenue concentration among its largest customers.
The extent to which Microsoft's internal chips can match Nvidia's performance at scale remains a key open question, as custom silicon programs typically require years of iteration before reaching competitive parity. Continue reading at US Top News and Analysis.