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    How Nvidia Pivoted From Graphics Card Maker to AI Chip Giant

    SwankyadminBy SwankyadminJuly 24, 2024 Passive Income No Comments4 Mins Read
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    A decade in the past, Nvidia was a significant graphics card maker, vying with opponents like AMD and Intel for dominance. Now it is an AI large with 70% to 95% of the market share for AI chips, and the brains of OpenAI’s ChatGPT. It is also the best-performing stock with the highest return previously 25 years.

    Why did Nvidia put money into AI chips over 10 years in the past, forward of the competitors? CEO Jensen Huang and board member Mark Stevens, Nvidia’s two largest individual shareholders, talked to Sequoia Capital partner Roelof Botha to elucidate what Botha referred to as “one of the crucial exceptional enterprise pivots in historical past.”

    Nvidia’s authentic product was 3D graphics playing cards for PC video games, however firm leaders seen by the mid-2000s that the PC market was hitting a progress restrict.

    Associated: Nvidia CEO Jensen Huang Turned Down a Merger Offer in the Company’s Early Days, According to Insiders. Here’s Why.

    “We felt we had been at all times gonna be boxed into the PC gaming market and at all times knocking heads with Intel if we did not develop a model new market that no person else was in,” Stevens defined.

    Jensen Huang, co-founder and chief government officer of Nvidia. Photographer: Lionel Ng/Bloomberg by way of Getty Pictures

    That want for a brand new market intersected with a product Nvidia already had available: its graphics processor unit, or GPU, which could possibly be used to energy duties outdoors of gaming. Researchers at universities internationally started exploring the graphics playing cards, ultimately constructing superior computer systems with them.

    Associated: Is It Too Late to Buy Nvidia? Former Morgan Stanley Strategist Says ‘Buy High, Sell Higher.’

    Huang recalled assembly a quantum chemist in Taiwan who confirmed him a closet with a “large array” of Nvidia’s GPUs on its cabinets; home followers had been rotating to maintain the system cool.

    “He stated, ‘I constructed my very own private supercomputer.’ And he stated to me that due to our work… he is capable of do his work in his lifetime,” Huang stated.

    Different researchers, like Meta AI chief Yann LeCun in New York, started reaching out to Nvidia in regards to the computing energy of its chips. Nvidia started contemplating the AI market when AI had but to enter the mainstream and was a “zero billion greenback market” or a market that had but to materialize.

    “There was no assure that AI would ever actually emerge as a result of, be mindful, AI had had many stops and begins over the past 40 years,” Stevens stated. “I imply, AI has been round as a pc science idea for many years. But it surely had by no means actually taken off as an enormous market alternative.”

    Associated: Nvidia Is ‘Slowly Becoming the IBM of the AI Era,’ According to the Leader of a $2 Billion AI Startup

    Huang and different firm leaders nonetheless believed in AI and determined to take a position billions within the tech within the 2010s.

    “This was a large pivot for our firm,” Huang stated. “The corporate’s focus was steered away from its core enterprise.”

    Huang highlighted the additional value, expertise, and expertise Nvidia needed to account for with the pivot, because it affected your entire firm. It took 10 to fifteen years of effort, however that enterprise resolution led to Nvidia powering the AI revolution with an early ChatGPT partnership.

    “Each CEO’s job is meant to go searching corners,” Huang stated. “You wish to be the one that believes the corporate can obtain greater than the corporate believes it could actually.”

    Associated: How to Be a Billionaire By 25, According to a College Dropout Turned CEO Worth $1.6 Billion

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