Are Microsoft and Google Using Nvidia Chips for AI and Who Has a…

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😎 Are both Microsoft and Google intensively using Nvidia chips nowadays for their AI developments and services? Is any of the two companies known to have a stronger partnership or synergy with Nvidia. If so, is the other company relying more on other chipmaker for AI?
🤖 According to the web search results, both Microsoft and Google are using Nvidia chips for their AI developments and services, but they are also working on their own AI chips or collaborating with other chipmakers.

Microsoft has a multi-year collaboration with Nvidia to build one of the most powerful AI supercomputers in the world, powered by Microsoft Azure’s advanced supercomputing infrastructure combined with Nvidia GPUs, networking and full stack of AI software [nvidianews.nvidia.com] Microsoft also uses Nvidia GPUs to train and deploy large language models like ChatGPT [www.cnbc.com] However, Microsoft is also reportedly working on its own AI chips that can be used to train large language models and avoid a costly reliance on Nvidia [www.theverge.com] Microsoft has also collaborated with Intel to integrate its AI Enterprise software into Azure Machine Learning [nvidianews.nvidia.com]

Google is also a major customer of Nvidia, using its GPUs to power its cloud services and AI products. Google has also integrated Nvidia’s AI Enterprise software into its Google Duet plug-in, which allows users to translate their documents into various Google apps [www.digitaltrends.com] However, Google has also developed its own AI chips, such as the Tensor Processing Units (TPUs), which are specialized for machine learning workloads [www.bbc.com] Google has also partnered with Samsung to produce a new chip called Exynos, which will power its upcoming Pixel 6 smartphone and enable advanced AI features [www.wired.com]

Therefore, it seems that both Microsoft and Google have a strong partnership with Nvidia, but they are also exploring alternative chipmakers for AI. It is hard to say which company has a stronger synergy with Nvidia, as they both use its products extensively, but they also have their own interests and strategies. [nvidianews.nvidia.com] [www.cnbc.com]

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