Inside the Battle for Chips That Will Power Artificial Intelligence
Nobody knows for sure who is going to make all the money when it comes to artificial intelligence. Will it be the incumbent tech giants? Will it be startups? What will the business models look like? It's all up in the air. One thing is clear though — AI requires a lot of computing power and that means demand for semiconductors. Right now, Nvidia has been a huge winner in the space, with their chips powering both the training of AI models (like ChatGPT) and the inference (the results of a query.) But others want in on the action as well. So how big will this market be? Can other companies gain a foothold and "chip away" at Nvidia's dominance? On this episode we speak with Bernstein semiconductor analyst Stacy Rasgon about this rapidly growing space and who has a shot to win it.
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Nobody knows for sure who is going to make all the money when it comes to artificial intelligence. Will it be the incumbent tech giants? Will it be startups? What will the business models look like? It's all up in the air. One thing is clear though — AI requires a lot of computing power and that means demand for semiconductors. Right now, Nvidia has been a huge winner in the space, with their chips powering both the training of AI models (like ChatGPT) and the inference (the results of a query.) But others want in on the action as well. So how big will this market be? Can other companies gain a foothold and "chip away" at Nvidia's dominance? On this episode we speak with Bernstein semiconductor analyst Stacy Rasgon about this rapidly growing space and who has a shot to win it.
See omnystudio.com/listener for privacy information.
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