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    Calacanis predicts Nvidia will pass China’s open models by end of 2027, PodcastAlphaX says

    PodcastAlphaX says Calacanis sees hardware profits letting Nvidia offer companies full compute racks at 80–90% below what they pay OpenAI and Anthropic for tokens.

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    TLDR

    In its September 5 summary of All-In, PodcastAlphaX attributes a bold forecast to Jason Calacanis: Nvidia will catch and pass China’s open models by the end of 2027. The pricing argument, as PodcastAlphaX describes it, is that Nvidia can make its margin on hardware rather than tokens, selling companies full compute racks at 80–90% below their spending on OpenAI and Anthropic tokens. The summary also attributes to Calacanis the view that Nvidia is those companies’ number-one competitor for both tokens and enterprise compute.

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    1 Source, first seen 26d ago

    Combined views

    30K

    1 Source, first seen 26d ago

    99 likes
    26d ago
    first seen 26d ago
    99 likes
    2 comments
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    7 reposts

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    2 comments
    22 saves
    7 reposts

    Sentiment

    Positive——Negative

    Summary

    Not enough discussion yet.

    No sentiment analysis available yet.

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    1 Source

    @PodcastAlphaXNvidia $NVDA catches and passes China's open models by the end of 2027. That's Jason Calacanis @Jason on All-In, and the mechanism is pricing. Jensen sells a company a full rack of compute, soup to nuts, total sovereignty, at 80 to 90% below what that company pays for tokens from OpenAI and Anthropic. He doesn't need margin on the tokens because he already made it on the hardware. Calacanis's read: starting now Nvidia is the number one competitor to OpenAI and Anthropic, not only for tokens but for enterprise compute, and the leading open source provider in America. What the rack-versus-tokens shift does to AI margins: https://podcastalpha.substack.com/subscribe Source: All-In Podcast - https://www.youtube.com/watch?v=DvFe9bR2eHA

    1 Source

    @PodcastAlphaXNvidia $NVDA catches and passes China's open models by the end of 2027. That's Jason Calacanis @Jason on All-In, and the mechanism is pricing. Jensen sells a company a full rack of compute, soup to nuts, total sovereignty, at 80 to 90% below what that company pays for tokens from OpenAI and Anthropic. He doesn't need margin on the tokens because he already made it on the hardware. Calacanis's read: starting now Nvidia is the number one competitor to OpenAI and Anthropic, not only for tokens but for enterprise compute, and the leading open source provider in America. What the rack-versus-tokens shift does to AI margins: https://podcastalpha.substack.com/subscribe Source: All-In Podcast - https://www.youtube.com/watch?v=DvFe9bR2eHA