Google’s AI chip push adds more pressure on Nvidia
Google is challenging Nvidia's market dominance by introducing new, cost-effective tensor processing units for AI applications. Simultaneously, Nvidia is facing internal turmoil following an investigation into CEO Jensen Huang regarding a personal relationship and potential national security concerns.
Why it matters
The shift in AI hardware competition and leadership instability at a major chip manufacturer could significantly impact the global AI infrastructure market and stock valuations.
The double-headed wind comes as the AI trade falters, with neocloud and infrastructure stocks, including IREN IREN $21.56 , Cipher Digital CIFR $6.9070 , and CoreWeave (CRWV), down 70% or more from their all-time highs.
Google plans to introduce two specialized tensor processing units (TPUs) next year. One targets confidential computing for customers handling sensitive information, while the other supports applications that require larger volumes of data, including coding and drug discovery.
Bloomberg Intelligence estimates TPU sales, including related hardware and software, could exceed $135 billion by 2028, up from an estimated $12 billion this year. Its analysts say the chips cost about 30% less than Nvidia’s GPUs, potentially increasing pressure on the market leader’s pricing and market share.
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