In line with his usual pompous statements, Elon Musk compared the artificial intelligence business to poker. In a series of tweets, the tycoon assured that companies need to invest “billions of dollars” to remain competitive in that sector, whose new boom began in 2023. ChatGPT, from OpenAI, has been the emblem of a boom in which Many other “players” appear, following the analogy of the businessman.
Elon Musk: “You have to bet a lot to be competitive in AI”
The man born in South Africa is the owner of numerous companies, which participate in various sectors. The most recognized are the automotive company Tesla; the aerospace firm SpaceX; another that is dedicated to neuroscience, Neuralink; and the social network X, formerly Twitter. In addition, he recently founded xAI, which is fully dedicated to artificial intelligence.
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In any case, it is not necessary to be an “AI company” to take the benefits of these technologies, and invest in them. Musk realized this in one of the tweets in which he compared that business to a poker table with powerful players. In the message, he said that in 2024 Tesla will spend more than half a billion dollars alone on AI chips developed by Nvidia, to equip its vehicles.
“Right now, the stakes to be competitive in AI are at least several billion dollars a year,” said Musk, who previously described Tesla as an “AI and robotics company” rather than a an automotive company. Strictly speaking, that firm is working on its own humanoid automaton, Optimus. In addition, the billionaire anticipated that he plans to develop a supercomputer.
Nvidia, a player that “in the shadows” accumulates millions in the AI business
When we think about the business of artificial intelligence, names of companies and organizations such as OpenAI, Meta, Microsoft and Amazon emerge. Furthermore, behind the big marquees, there are other firms that are reaping great returns within the framework of this technological boom. One of them is the processor manufacturer Nvidia.
Nvidia is a company that is not in the AI marquees, although it is one of the great beneficiaries of the rise of these technologies. By: REUTERS
As Business Insider notes, the world's most powerful technology companies are fighting to get their hands on as many Nvidia processing units (the H100 model) as possible. Each GPU is estimated to cost between $25,000 and $30,000 each. What are they for? They are essential for developing and training the large language models that allow chatbots, such as ChatGPT, to function.
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Recently, Meta CEO Mark Zuckerberg told The Verge that they are investing in a huge stockpile of GPUs, with the goal of amassing a total of 600,000 chips by the end of the year. For his part, Musk also buys another well-known hardware manufacturer, AMD.