Google is relying on its own chips for its AI system Gemini. Here's why that's a seismic change for the industry
NeutralArtificial Intelligence

- Google has shifted its focus to using its own Tensor Processing Units (TPUs) for its AI system, Gemini, marking a significant departure from its previous reliance on Nvidia's GPUs, which have long dominated the AI chip market.
- This transition allows Google to enhance its competitive edge in the AI sector, potentially reducing costs for partners like OpenAI, which reportedly saved 30% on Nvidia chips due to this increased competition, thereby reshaping the landscape of AI hardware.
- The move reflects a broader trend in the tech industry where companies are increasingly seeking alternatives to Nvidia's offerings, with Google actively pitching its TPUs to major clients, including Meta and financial institutions, indicating a shift towards more diverse AI computing solutions.
— via World Pulse Now AI Editorial System




