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Nvidia Faces Pressure as Meta Eyes Google's AI Chips for Data Centres

share-iconPublished: Wednesday, November 26 share-iconUpdated: Wednesday, November 26 comment-icon1 week ago
Nvidia Faces Pressure as Meta Eyes Google's AI Chips for Data Centres

Credited from: SCMP

  • Nvidia's market value declined by over $250 billion amid reports of Meta considering Google’s AI chips.
  • Meta is in talks to use Google’s Tensor Processing Units, challenging Nvidia's dominance.
  • Google’s stock surged as investor confidence in its AI chips grows, while Nvidia’s shares fell.
  • Nvidia claims its GPUs remain ahead, asserting that it can run all major AI models.
  • The evolving landscape suggests increased competition in AI hardware, shifting supply chains.

Nvidia's market value has plummeted by over $250 billion in response to reports that Meta Platforms is considering using Google's AI chips, specifically Tensor Processing Units (TPUs), for its data centres. Following this development, Nvidia's shares saw a significant decline of nearly 6%, while Alphabet, Google's parent company, experienced a corresponding rise in stock value, indicating a shift in investor sentiment towards Google's technology as a potential rival to Nvidia's dominance in AI hardware, according to Indiatimes and SCMP.

The situation escalated as reports surfaced that Meta is exploring using Google’s TPUs for data centres as early as 2027, further intensifying competitive pressure on Nvidia. Analysts suggest that if Meta adopts this technology, it could significantly diminish Nvidia's market share, currently held due to its GPUs, which command over 90% of the AI accelerator market. Google's chips have garnered attention after the success of its Gemini 3 AI model, which was trained entirely on TPUs, positioning them as viable alternatives in the AI hardware landscape, according to Indiatimes and BBC.

In response to the mounting competition, Nvidia issued a public statement asserting that it remains "a generation ahead" of its rivals, emphasizing that its GPUs can run every AI model across diverse computing environments. Nvidia's CEO, Jensen Huang, assured that the company is the only platform capable of meeting all major AI demands, a claim aimed at assuaging investor fears regarding potential shifts in the tech supply chain, as Meta's exploration of TPUs could signify a growing trend towards diversification away from Nvidia, as reported by Indiatimes and SCMP.

Furthermore, Nvidia highlighted that its chips are integral to numerous popular AI tools and indicated ongoing demand for its products despite the emerging competition from Google. Reports suggest that Google is augmenting its efforts to market TPUs for external use, which could redefine the competitive landscape of AI chip markets traditionally dominated by Nvidia. This shift reflects broader industry trends as companies increasingly seek alternatives to reduce reliance on any single supplier, including Nvidia, according to BBC and Indiatimes.


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