How Amazon Is Making Custom Chips To Catch Up In Generative A.I. Race
Despite its firm footing as the world’s biggest cloud provider, Amazon Web Services got a slow start to the generative AI race. AWS released its large language model, Titan, months after Microsoft’s reported $13 billion investment in ChatGPT-maker OpenAI and Google’s release of Bard. But AWS is also designing its own custom AI microchips, shown to CNBC in an exclusive tour of its Austin chip lab. Now analysts say AWS may gain a long term advantage in AI by offering an alternative to Nvidia GPUs.
#cnbc #news #amazon #customchips #airace #chatgpt #ai #gpus #aws #openai #amazonwebservices
Read more Despite its firm footing as the world’s biggest cloud provider, Amazon Web Services got a slow start to the generative AI race. AWS released its large language model, Titan, months after Microsoft’s reported $13 billion investment in ChatGPT-maker OpenAI and Google’s release of Bard. But AWS is also designing its own custom AI microchips, shown to CNBC in an exclusive tour of its Austin chip lab. Now analysts say AWS may gain a long term advantage in AI by offering an alternative to Nvidia GPUs.
#cnbc #news #amazon #customchips #airace #chatgpt #ai #gpus #aws #openai #amazonwebservices
How Amazon Is Making Custom Chips To Catch Up In Generative A.I. Race
Despite its firm footing as the world’s biggest cloud provider, Amazon Web Services got a slow start to the generative AI race. AWS released its large language model, Titan, months after Microsoft’s reported $13 billion investment in ChatGPT-maker OpenAI and Google’s release of Bard. But AWS is also designing its own custom AI microchips, shown to CNBC in an exclusive tour of its Austin chip lab. Now analysts say AWS may gain a long term advantage in AI by offering an alternative to Nvidia GPUs.
#cnbc #news #amazon #customchips #airace #chatgpt #ai #gpus #aws #openai #amazonwebservices
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