OpenAI Sticks With Nvidia: ChatGPT Maker Says No Plans To Use Google's AI Chips At Scale
OpenAI has reaffirmed its commitment to Nvidia, stating it has no plans to deploy Google's AI chips at scale, despite some early testing. Nvidia emphasized its partnership with OpenAI, which continues to rely on its GPUs and AMD AI chips for computational needs. This announcement follows OpenAI's recent cloud services deal with Google Cloud, which allows access to Google's infrastructure while reducing dependence on Microsoft Azure. Google's TPUs, now available externally, are gaining traction among various customers, including Apple and AI startups.
Nvidia Corp. NVDA strengthened its partnership with OpenAI after the ChatGPT maker confirmed it has no plans to deploy Alphabet Inc.‘s GOOGL GOOG in-house artificial intelligence chips at scale, despite recent cloud collaboration between the rivals.
What Happened: “We’re proud to partner with OpenAI and continue powering the foundation of their work,” Nvidia wrote on X Monday, citing a Reuters report that OpenAI rejected Google’s tensor processing units (TPUs) for large-scale deployment.
OpenAI spokesperson confirmed to Reuters on Sunday that the AI lab is conducting early testing with some Google TPUs but has no active plans to use them at scale. The company continues relying on Nvidia’s graphics processing units (GPUs) and Advanced Micro Devices Inc. AMD AI chips to meet growing computational demands.
The statement comes two days after Reuters reported OpenAI signed a cloud services deal with Google Cloud in May, marking a rare partnership between direct AI competitors.
Why It Matters: The agreement provides OpenAI access to Google’s infrastructure to support training and deployment of models like ChatGPT, reducing reliance on Microsoft Corp. MSFT Azure.
Google has expanded external availability of its TPUs, historically reserved for internal use, winning customers including Apple Inc. AAPL and AI startups Anthropic and Safe Superintelligence. The custom chips offer Google a cost advantage second only to Nvidia in performance, according to D.A. Davidson analyst Gil Luria.
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