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No Priors Ep. 13 | With Jensen Huang, Founder & CEO of NVIDIA

So much of the AI conversation today revolves around models and new applications. But this AI revolution would not be possible without one thing – GPUs, Nvidia GPUs. The Nvidia A100 is the workhorse of today’s AI ecosystem. This week on No Priors, Sarah Guo and Elad Gil sit down with Jensen Huang, the founder and CEO of NVIDIA, at their Santa Clara headquarters. Jensen co-founded the company in 1993 with a goal to create chips that accelerated graphics. Over the past thirty years, NVIDIA has gone far behind gaming and become a $674B behemoth. Jensen talks about the meaning of this broader platform shift for developers, making very long term bets in areas such as climate and biopharma, their next-gen Hopper chip, why and how NVIDIA chooses problems that are unsolvable today, and the source of his iconic leather jackets. 00:00 - Introduction 01:26 - The early days when Jensen Co-founded NVIDIA 04:58 - Why NVIDIA started to expand its aperture to artificial intelligence use cases 10:42 - The moment in 2012 Jensen realized AI was going to be huge 13:52 - How we’re in a broader platform shift in computer science 17:48 - His vision for NVIDIA’s future lines of business 18:09 - How NVIDIA has two motions: Shipping reliable chips and solving new use cases 25:41 - Why no one should assume they’re right for the job of CEO and why not every company needs to be architected as the US military 31:39 - What’s next for NVIDIA’s Hopper 32:57 - Durability of Transformers 35:08 - What Jensen is excited about in the future of AI & his advice for founders

Sarah GuohostJensen HuangguestElad Gilhost
Apr 25, 202352mWatch on YouTube ↗

Episode Details

EPISODE INFO

Released
April 25, 2023
Duration
52m
Channel
No Priors
Watch on YouTube
▶ Open ↗

EPISODE DESCRIPTION

So much of the AI conversation today revolves around models and new applications. But this AI revolution would not be possible without one thing – GPUs, Nvidia GPUs. The Nvidia A100 is the workhorse of today’s AI ecosystem. This week on No Priors, Sarah Guo and Elad Gil sit down with Jensen Huang, the founder and CEO of NVIDIA, at their Santa Clara headquarters. Jensen co-founded the company in 1993 with a goal to create chips that accelerated graphics. Over the past thirty years, NVIDIA has gone far behind gaming and become a $674B behemoth. Jensen talks about the meaning of this broader platform shift for developers, making very long term bets in areas such as climate and biopharma, their next-gen Hopper chip, why and how NVIDIA chooses problems that are unsolvable today, and the source of his iconic leather jackets. 00:00 - Introduction 01:26 - The early days when Jensen Co-founded NVIDIA 04:58 - Why NVIDIA started to expand its aperture to artificial intelligence use cases 10:42 - The moment in 2012 Jensen realized AI was going to be huge 13:52 - How we’re in a broader platform shift in computer science 17:48 - His vision for NVIDIA’s future lines of business 18:09 - How NVIDIA has two motions: Shipping reliable chips and solving new use cases 25:41 - Why no one should assume they’re right for the job of CEO and why not every company needs to be architected as the US military 31:39 - What’s next for NVIDIA’s Hopper 32:57 - Durability of Transformers 35:08 - What Jensen is excited about in the future of AI & his advice for founders

SPEAKERS

  • Sarah Guo

    host
  • Jensen Huang

    guest
  • Elad Gil

    host
  • Narrator

    other

EPISODE SUMMARY

In this episode of No Priors, featuring Sarah Guo and Jensen Huang, No Priors Ep. 13 | With Jensen Huang, Founder & CEO of NVIDIA explores jensen Huang Reveals NVIDIA’s Long Game Building the AI Era Jensen Huang traces NVIDIA’s origins from early chip design and accelerated computing bets that most of Silicon Valley initially dismissed, to becoming the core platform for modern AI. He explains how CUDA and architectural consistency, carried on the back of gaming GPUs, enabled NVIDIA to quietly build a developer ecosystem long before deep learning took off. The conversation covers the technical and organizational principles behind NVIDIA’s success, from FP8 and transformer-optimized chips to a bespoke company structure that balances refinement with skunkworks-style exploration. Huang also looks ahead to domain-specific foundation models, robotics, drug discovery, and climate science as the next frontiers for accelerated computing and AI.

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