Meta Platforms Inc.Meta plans to boost use of in-house-designed AI chips to cut infrastructure costs and reduce reliance on outside semiconductor providers.
Meta Platforms is planning to increase its use of in-house-designed AI chips as it looks to reduce the cost of its vast infrastructure buildout. The company has invested billions in data centers, servers and accelerators as it builds more sophisticated models and rolls out AI features across Facebook, Instagram and WhatsApp. Custom silicon can be tuned around particular workloads rather than the wide range of tasks expected from general-purpose accelerators, making AI services cheaper and more efficient to run at massive scale. More internal chips would lower Meta's reliance on outside semiconductor providers for some tasks, even as sophisticated Nvidia accelerators remain core to its infrastructure. The move follows a wider trend among hyperscalers such as Google and Amazon that have developed specialized processors for AI and cloud computing, and Meta's next test is whether those chips can deliver considerable savings as its AI infrastructure spending keeps growing.
Meta Platforms Inc.Meta plans to boost use of in-house-designed AI chips to cut infrastructure costs and reduce reliance on outside semiconductor providers.
NVIDIA CorporationMeta's increased internal chip use would lower its reliance on outside semiconductor providers, though Nvidia accelerators remain core to its infrastructure.
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