Skip to content
AcquiredAcquired

NVIDIA CEO Jensen Huang

We finally sit down with the man himself: Nvidia Cofounder & CEO Jensen Huang. After three parts and seven+ hours of covering the company, we thought we knew everything but — unsurprisingly — Jensen knows more. A couple teasers: we learned that the company’s initial motivation to enter the datacenter business came from perhaps not where you’d think, and the roots of Nvidia’s platform strategy stretch back beyond CUDA all the way to the origin of the company. We also got a peek into Jensen’s mindset and calculus behind “betting the company” multiple times, and his surprising feelings about whether he’d go on the founder journey again if he could rewind time. We can’t think of any better way to tie a bow on our Nvidia series (for now). Tune in! Sponsors: Thanks to our fantastic partners, any member of the Acquired community can now get: Your product growth powered by Statsig https://bit.ly/statsigacquired Scalable, clean and low-cost cloud AI compute from Crusoe, and listen to our recent ACQ2 interview with CEO Chase Lochmiller https://bit.ly/acquiredcrusoe https://bit.ly/CrusoeACQ2 Free access to Jensen’s favorite business books on Blinkist, plus our favorites on Ben & David’s Bookshelf https://bit.ly/BlinkistJensen https://bit.ly/BlinkistBookshelf More Acquired!: Get email updates with hints on next episode and follow-ups from recent episodes https://www.acquired.fm/email Join the Slack http://acquired.fm/slack Subscribe to ACQ2 https://pod.link/acquiredlp Become an LP and support the show. Help us pick episodes, Zoom calls and more https://acquired.fm/lp ACQ Merch Store! https://www.acquired.fm/store Timestamps: 00:00:00 Teaser 00:00:41 Intro 00:02:54 Riva 128 00:17:27 Post-AlexNet 00:20:29 OpenAI 00:22:21 Language Models 00:24:56 Statsig 00:27:13 Direct Reports 00:32:07 Product Shipping Cycle 00:34:16 Journey to the Data Center 00:39:31 Mellanox Acquisition 00:43:41 Crusoe 00:45:45 Advice For Company Building 00:55:54 Luck & Skill 00:59:54 Job Displacement 01:06:56 Blinkist 01:08:57 Favorite Sci-Fi 01:09:33 Daily Driver 01:10:28 Favorite Business Book 01:10:55 Don Valentine 01:11:45 40 Year-Old Jensen 01:12:42 What are You Afraid of? 01:13:29 Final Job 01:19:44 Starting a Company in 2023 01:23:13 Market Drawdowns 01:27:43 Outro Note: Acquired hosts and guests may hold assets discussed in this episode. This podcast is not investment advice, and is intended for informational and entertainment purposes only. You should do your own research and make your own independent decisions when considering any financial transactions. © Copyright ACQ, LLC

Ben GilberthostDavid RosenthalhostJensen Huangguest
Oct 15, 20231h 30mWatch on YouTube ↗

At a glance

WHAT IT’S REALLY ABOUT

Jensen Huang on NVIDIA’s bets, platforms, and AI’s future economy

  1. Jensen Huang explains how NVIDIA survived early existential risk with the Riva 128 by “pulling risk forward” through emulation, full-stack software readiness, and a one-shot production mindset.
  2. He traces the company’s long arc from graphics to a developer-first platform strategy (UDA → CUDA), emphasizing architectural compatibility and ecosystem building as the core of durable advantage.
  3. Huang details NVIDIA’s intentional pivot toward the data center (starting with GeForce Now and remote graphics) and why high-performance networking (Mellanox/InfiniBand) became essential for distributed AI training.
  4. He closes with pragmatic views on AI: prioritize safety and human-in-the-loop deployment, expect job shifts but likely net job creation via prosperity, and underscores how psychologically hard company-building is without deep support systems.

IDEAS WORTH REMEMBERING

5 ideas

When you “bet the company,” pre-validate as much as physics allows.

Huang frames big bets as pulling future risk into the present: emulate hardware, build the full software stack, run QA early, and only then commit to production/scale-up.

Desperation can reveal the right operating system—then keep it.

NVIDIA’s Riva 128 “one shot” forced process innovations (simulation, parallel software development, aggressive go-to-market timing) that became enduring best practice.

Platforms start with developers, not moats.

NVIDIA’s earliest strategy (DirectNV/UDA) was developer-oriented; CUDA later extended that by leveraging the GPU install base to create a durable platform ecosystem.

Architectural compatibility is a non-negotiable platform rule.

Huang argues a compute platform can’t exist if each generation breaks compatibility; NVIDIA treats “every chip runs CUDA” as the company’s only unbreakable rule.

AlexNet wasn’t just a product moment—it was a first-principles unlock.

Huang recognized deep learning as a scalable ‘universal function approximator’ and reasoned that if it scales, it can reprogram most software and reshape computer architecture.

WORDS WORTH SAVING

5 quotes

If you only had six months and you get to tape out just one time, then obviously you're gonna tape out a perfect chip.

— Jensen Huang

When you bet the farm, you're saying, 'I'm gonna take everything in the future, all the risky things, and I'm gonna pull it in advance.'

— Jensen Huang

Mission is the boss.

— Jensen Huang

We are the only accelerator on the planet where every single accelerator is architecturally compatible with the others… That's the only unnegotiable rule in our company.

— Jensen Huang

I wouldn't do it… building NVIDIA turned out to have been a million times harder than I expected it to be.

— Jensen Huang

Riva 128 crisis and emulation-led executionPulling risk forward via simulation and software-first validationCUDA’s roots (UDA) and developer platform strategyAlexNet as inflection point; scaling as the thesisLanguage models, self-supervised learning, emergent capabilitiesData center journey via cloud gaming and remote graphicsMellanox/InfiniBand and distributed training infrastructureOrg design: “computing stack,” neural-network wiring, many direct reportsZero-billion-dollar markets and positioning near opportunityAI safety, human-in-the-loop, and job displacement vs prosperity

High quality AI-generated summary created from speaker-labeled transcript.

Get more out of YouTube videos.

High quality summaries for YouTube videos. Accurate transcripts to search & find moments. Powered by ChatGPT & Claude AI.

Add to Chrome