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Jensen Huang

What Jensen Huang thinks about LLMs

@jensen-huang · 86 positions · On ppll ↗

Co-founder and CEO of NVIDIA since 1993.

Jensen Huang did not write this page.

We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.

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Only Jensen Huang on LLMs. See everyone on LLMs

5 dated positions, 2026, in their own words. Our reading of what Jensen Huang has said — not written or endorsed by them.

  1. Our readingThe cost of a token is falling by an order of magnitude every year, even as the price of the computers that make them goes up.

    Their wordsYou know, our computer price is going up, but our token generation effectiveness is going up so much faster that token cost is coming down. It's just coming down an order of magnitude every year.

    ↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 8th of 23 in this recording

  3. Our readingSomeone paying a thousand dollars per million tokens is just around the corner, because intelligence is a product that segments by grade like phones do.

    Their wordsYou know, the idea that somebody's willing to pay $1000 per million tokens is just around the corner. It's not if, it's only when.

    ↗Jensen Huang: NVIDIA - The $4 Trillion Company & the AI Revolution | Lex Fridman Podcast #494youtube.com 13th of 23 in this recording

  4. 2 months earlier

  5. Our readingAI is software that is not pre-recorded: unlike Excel it generates every token for the first time, every time, which is why it needs factories.

    Their wordsFor example, Excel was written by several hundred engineers. They compiled it. It's pre-recorded and then they distribute it as is for several years. In the case of AI, because it takes into the context, what you asked of it, what's happening in the world, right? Contextual information, it generates every single token for the first time, every time.

    ↗NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrativeyoutube.com 1st of 20 in this recording

  7. Our readingDeepSeek's paper was the single most important thing Silicon Valley researchers read in years.

    Silicon Valley

    Their wordsThis is, you know, let's face it, Deep Seek was probably the single most important paper that most Silicon Valley researchers read from in the last couple years.

    ↗NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrativeyoutube.com 10th of 20 in this recording

  9. Our readingDigital biology is about to have its ChatGPT moment, on the back of multimodality, long context and synthetic data generation.

    OpenAI

    Their wordsI believe that multi-modality and um very long context is going to enable of course really really cool chat bots. Um but the basic architecture that in combination with breakthroughs in synthetic data generation is going to help create the chat GPT moment for digital biology.

    ↗NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrativeyoutube.com 14th of 20 in this recording