LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age
Jensen Huang, founder and CEO of NVIDIA, makes the case that computing is undergoing its biggest shift in 60 years: from retrieval, where data centers store files we look up, to generation, where every word, image, and video is produced in real time and customized for whoever is asking. He explains why NVIDIA's AI factories are the dynamos of this era: machines that take in electrons and send out tokens of intelligence, just as Siemens' dynamo once turned motion into electricity. Jensen frames intelligence as the third force to "cocoon" the planet after electricity and the internet. He describes the five-layer cake of AI investment—energy, chips, infrastructure, models, applications—and dismantles the fear that AI will erase jobs, using radiology and software engineering to show how automation raised labor demand instead of killing it. His bottom line: you won't lose your job to AI, but you might lose it to someone who uses AI.
Hosted by Konstantine Buhler, Sequoia Capital
NVIDIA: Jensen Huang. From near collapse to becoming the world’s biggest company
NVIDIA is one of the most valuable companies in human history. Its chips run the AI systems transforming everything from entertainment to warfare. But for years, almost nobody believed in co-founder Jensen Huang’s vision. Jensen spent nearly a decade pouring billions into a technology called CUDA, long before AI made it profitable.
In this deeply personal conversation, Jensen tells Guy why NVIDIA’s very first chip was a catastrophic failure … and how at one point, the company was 30 days away from going out of business.
Jensen also explains why he thinks fears about AI are overblown, and why he believes the next generation will have more opportunity — not less — because of AI.
What You’ll Learn:
Why NVIDIA nearly collapsed before becoming an AI giant
How researchers sparked the AI boom using NVIDIA gaming chips
How to lead through uncertainty when a huge bet hasn’t yet paid off
How Jensen approaches hard decisions like an engineer
We’re “doing ourselves a disservice” by being afraid: Jensen on AI and job loss
How Jensen defends his demanding management style
Why past failures still haunt him
Key Moments From the Interview:
00:07:51 — Jensen Huang’s childhood at an unusual Kentucky boarding school
00:14:50 — Why Jensen left a stable career to help start NVIDIA
00:17:14 — NVIDIA’s first failure: the NV1 disaster
00:19:51 — The desperate trip to Japan that gave the company a lifeline
00:23:11 — “The only idea we had” for prototyping: the emulator Hail Mary
00:30:53 — The book that shaped Jensen’s thinking about innovation
00:35:04 — Why NVIDIA kept investing in CUDA while Wall Street lost faith
00:41:38 — The moment AI researchers discovered the power of NVIDIA’s chips
00:53:17 — Jensen on fear of job loss from AI, and why America risks falling behind
01:01:56 — Knowing what he knows now, would he do it again? Yes — and no
This episode was researched and produced by Alex Cheng with music by Ramtin Arablouei. It was edited by Neva Grant. Our engineers were Patrick Murray and Robert Rodriguez.
Follow How I Built This:
Instagram → @howibuiltthis
X → @HowIBuiltThis
Facebook → How I Built This
Follow Guy Raz:
Instagram → @guy.raz
Youtube → guy_raz
X → @guyraz
Substack → guyraz.substack.com
Website → guyraz.com
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Jensen Huang – TPU competition, why we should sell chips to China, & Nvidia’s supply chain moat
I asked Jensen about TPU competition, Nvidia’s lock on the ever more bottlenecked supply chain needed to make advanced chips, whether we should be selling AI chips to China, why Nvidia doesn’t just become a hyperscaler, how it makes its investments, and much more. Enjoy!
Watch on YouTube; read the transcript.
Sponsors
* Crusoe’s cloud runs on state-of-the-art Blackwell GPUs, with Vera Rubin deployment scheduled for later this year. But hardware is only part of the story—for inference, Crusoe’s MemoryAlloy tech implements a cluster-wide KV cache, delivering up to 10x faster TTFT and 5x better throughput than vLLM. Learn more at crusoe.ai/dwarkesh
* Cursor helped me build an AI co-researcher over the course of a weekend. Now I have an AI agent that I can collaborate with in Google Docs via inline comment threads! And while other agentic coding tools feel like a total black-box, Cursor let me stay on top of the full implementation. You can try my co-researcher out at github.com/dwarkeshsp/ai_coworker, or get started on your own Cursor project today at cursor.com/dwarkesh
* Jane Street spent ~20,000 GPU hours training backdoors into 3 different language models, then challenged my audience to find the triggers. They received some clever solutions—like comparing the base and fine-tuned versions and extrapolating any differences to reveal the hidden backdoor—but no one was able to solve all 3. So if open problems like this excite you, Jane Street is hiring. Learn more at janestreet.com/dwarkesh
Timestamps
(00:00:00) – Is Nvidia’s biggest moat its grip on scarce supply chains?
(00:16:25) – Will TPUs break Nvidia’s hold on AI compute?
(00:41:06) – Why doesn’t Nvidia become a hyperscaler?
(00:57:36) – Should we be selling AI chips to China?
(01:35:06) – Why doesn’t Nvidia make multiple different chip architectures?
Get full access to Dwarkesh Podcast at www.dwarkesh.com/subscribe
#494 – Jensen Huang: NVIDIA – The $4 Trillion Company & the AI Revolution
Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution.
Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
Transcript:
https://lexfridman.com/jensen-huang-transcript
CONTACT LEX:
Feedback – give feedback to Lex: https://lexfridman.com/survey
AMA – submit questions, videos or call-in: https://lexfridman.com/ama
Hiring – join our team: https://lexfridman.com/hiring
Other – other ways to get in touch: https://lexfridman.com/contact
EPISODE LINKS:
NVIDIA: https://nvidia.com
NVIDIA on X: https://x.com/nvidia
NVIDIA AI on X: https://x.com/NVIDIAAI
NVIDIA on YouTube: https://youtube.com/@nvidia
NVIDIA on Instagram: https://www.instagram.com/nvidia/
NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/
NVIDIA on Facebook: https://www.facebook.com/NVIDIA/
NVIDIA on GitHub: https://github.com/NVIDIA
Nemotron: https://developer.nvidia.com/nemotron
SPONSORS:
To support this podcast, check out our sponsors & get discounts:
Perplexity: AI-powered answer engine.
Go to https://perplexity.ai/
Shopify: Sell stuff online.
Go to https://shopify.com/lex
LMNT: Zero-sugar electrolyte drink mix.
Go to https://drinkLMNT.com/lex
Fin: AI agent for customer service.
Go to https://fin.ai/lex
Quo: Phone system (calls, texts, contacts) for businesses.
Go to https://quo.com/lex
OUTLINE:
(00:00) – Introduction
(00:26) – Sponsors, Comments, and Reflections
(06:34) – Extreme co-design and rack-scale engineering
(09:20) – How Jensen runs NVIDIA
(28:41) – AI scaling laws
(43:41) – Biggest blockers to AI scaling laws
(45:25) – Supply chain
(47:20) – Memory
(53:25) – Power
(58:45) – Elon and Colossus
(1:02:13) – Jensen’s approach to engineering and leadership
(1:07:38) – China
(1:15:51) – TSMC and Taiwan
(1:21:06) – NVIDIA’s moat
(1:26:43) – AI data centers in space
(1:30:31) – Will NVIDIA be worth $10 trillion?
(1:40:40) – Leadership under pressure
(1:54:26) – Video games
(2:01:18) – AGI timeline
(2:03:31) – Future of programming
(2:17:02) – Consciousness
(2:23:23) – Mortality
PODCAST LINKS:
– Podcast Website: https://lexfridman.com/podcast
– Apple Podcasts: https://apple.co/2lwqZIr
– Spotify: https://spoti.fi/2nEwCF8
– RSS: https://lexfridman.com/feed/podcast/
– Podcast Playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4
– Clips Channel: https://www.youtube.com/lexclips
Jensen Huang LIVE: Nvidia's Future, Physical AI, Rise of the Agent, Inference Explosion, AI PR Crisis
(0:00) Jensen Huang joins the show!
(0:26) Acquiring Groq and the inference explosion
(8:53) Decision making at the world's most valuable company
(10:47) Physical AI's $50T market, OpenClaw's future, the new operating system for modern AI computing
(16:38) AI's PR crisis, refuting doomer narratives, Anthropic's comms mistakes
(20:48) Revenue capacity, token allocation for employees, Karpathy's autoresearch, agentic future
(30:50) Open source, global diffusion, Iran/Taiwan supply chain impact
(39:45) Self-driving platform, facing competition from active customers, responding to growth slowdown predictions
(47:32) Datacenters in space, AI healthcare, Robotics
(56:10) OpenAI/Anthropic revenue potential, how to build an AI moat
(59:04) Advice to young people on excelling in the AI era
Follow the besties:
https://x.com/chamath
https://x.com/Jason
https://x.com/DavidSacks
https://x.com/friedberg
Follow on X:
https://x.com/theallinpod
Follow on Instagram:
https://www.instagram.com/theallinpod
Follow on TikTok:
https://www.tiktok.com/@theallinpod
Follow on LinkedIn:
https://www.linkedin.com/company/allinpod
Intro Music Credit:
https://rb.gy/tppkzl
https://x.com/yung_spielburg
Intro Video Credit:
https://x.com/TheZachEffect
NVIDIA’s Jensen Huang on Reasoning Models, Robotics, and Refuting the “AI Bubble” Narrative
Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore’s Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Guo and Elad Gil are joined by Jensen Huang for a wide-ranging discussion on the state of artificial intelligence as we begin 2026. Jensen reflects on the biggest surprises of 2025, including the rapid improvements in reasoning, as well as the profitability of inference tokens. He also talks about why AI will increase productivity without necessarily taking away jobs, and how physical AI and robotics can help to solve labor shortages. Finally, Jensen shares his 2026 outlook, including why he’s optimistic about US-China relations, why open source remains essential for keeping the US competitive, and which sectors are due for their “ChatGPT moment.”
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @nvidia
Chapters:
00:00 – Jensen Huang Introduction
00:17 – Biggest AI Surprises of 2025
04:12 – AI and Jobs: New Infrastructure and Demand for Skilled Labor
09:03 – Task vs. Purpose Framework in Labor
12:31 – Solving Labor Shortages with Robotics
15:14 – The Layer Cake of AI Technology
18:39 – The Importance of Open Source
21:52 – The Myth of “God AI” and Monolithic Models
23:54 – Addressing the “Doomer” Narrative and Regulation
29:25 – The Plummeting Cost of Compute and Tokenomics
35:09 – The Return to Research
37:49 – Future of Coding and Software Engineering
43:20 – The Industries Due For Their “ChatGPT” Moments
46:00 – The Evolution of Self-Driving Cars and Robotics
54:06 – Energy Demand and Growth for AI
58:49 – 2026 Outlook: US-China Relations and Geopolitics
1:04:43 – Is There An AI Bubble?
1:16:20 – Conclusion
NVIDIA: OpenAI, Future of Compute, and the American Dream | BG2 w/ Bill Gurley and Brad Gerstner
Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, Brad and Clark Tang sit down with Jensen Huang, founder & CEO of NVIDIA, for a sweeping deep dive on the new era of AI. From the $100B partnership with OpenAI to the rise of AI factories, sovereign AI, and protecting the American Dream—this episode explores how accelerated computing is reshaping the global economy. NVIDIA, OpenAI, hyperscalers, and global infrastructure: the AI race is on. Don’t miss this must-listen BG2.
(00:00) Intro
(0:37) The Year in AI Recap
(3:24) OpenAI Stargate & Nvidia Investment
(8:41) Nvidia Accelerated Compute TAM
(18:55) $NVDA ROI – Glut or Bubble?
(27:45) Roundtripping Claims
(31:10) Annual Release Cadence & Extreme Co-design
(40:45) Future of ASICs & Economics
(53:47) Nvidia's Competitive Moat
(56:55) Elon, X.ai & Colossus 2
(58:47) Sovereign AI & Global Buildout
(1:02:21) The AI Administration
(1:07:43) Chinese AI Chips & NVIDIA’s Role
(1:17:24) H-1B, Talent, & the American Dream
(1:29:33) Invest America & American Right to Rise
(1:37:40) The Future Ahead
Produced by Dan Shevchuk
Music by Yung Spielberg
Available on Apple, Spotify, www.bg2pod.com
Follow:
Brad Gerstner @altcap https://x.com/altcap
Bill Gurley @bgurley https://x.com/bgurley
BG2 Pod @bg2pod https://x.com/BG2Pod
Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller
(0:00) James Litinsky, MP Materials
(13:32) Lisa Su, AMD
(29:45) Chase Lochmiller, Crusoe
(43:26) Jensen Huang, Nvidia
Thanks to our partners for making this happen:
NYSE : https://www.nyse.com
Visa: https://usa.visa.com
Follow the besties:
https://x.com/chamath
https://x.com/Jason
https://x.com/DavidSacks
https://x.com/friedberg
Follow on X:
https://x.com/theallinpod
Follow on Instagram:
https://www.instagram.com/theallinpod
Follow on TikTok:
https://www.tiktok.com/@theallinpod
Follow on LinkedIn:
https://www.linkedin.com/company/allinpod
Intro Music Credit:
https://rb.gy/tppkzl
https://x.com/yung_spielburg
Intro Video Credit:
https://x.com/TheZachEffect
Jensen Huang and Arthur Mensch on Winning the Global AI Race
The global race for AI leadership is no longer just about companies—it’s about nations. AI isn’t just computing infrastructure; it’s cultural infrastructure, economic strategy, and national security all rolled into one.
In this episode, Jensen Huang, founder and CEO of NVIDIA, and Arthur Mensch, cofounder and CEO of Mistral, sit down to discuss sovereign AI, national AI strategies, and why every country must take ownership of its digital intelligence.
How AI will reshape global economies and GDP
The full AI stack—from chips to models to AI factories
Why AI is both a general purpose technology and deeply specialized
The open-source vs. closed AI debate and its impact on sovereignty
Why no one will build AI for you—you have to do it yourself
Is this the most consequential technology shift of all time? If so, the stakes have never been higher.
Resources:
Find Arthur on X: https://x.com/arthurmensch
Find Anjney on X: https://www.linkedin.com/in/anjney/
Find NVIDIA on X: https://x.com/nvidia
Find Mistral: https://x.com/MistralAI
Stay Updated:
Let us know what you think: https://ratethispodcast.com/a16z
Find a16z on Twitter: https://twitter.com/a16z
Find a16z on LinkedIn: https://www.linkedin.com/company/a16z
Subscribe on your favorite podcast app: https://a16z.simplecast.com/
Follow our host: https://twitter.com/stephsmithio
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Stay Updated:
Find a16z on YouTube: YouTube
Find a16z on X
Find a16z on LinkedIn
Listen to the a16z Show on Spotify
Listen to the a16z Show on Apple Podcasts
Follow our host: https://twitter.com/eriktorenberg
Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures.
Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
NVIDIA's Jensen Huang on AI Chip Design, Scaling Data Centers, and his 10-Year Bets
In this week’s episode of No Priors, Sarah and Elad sit down with Jensen Huang, CEO of NVIDIA, for the second time to reflect on the company’s extraordinary growth over the past year. Jensen discusses AI’s takeover of datacenters and NVIDIA’s rapid development of x.AI’s supercluster. The conversation also covers Nvidia’s decade-long infrastructure bets, software longevity, and innovations like NVLink. Jensen shares his views on the future of embodied AI, digital employees, and how AI is transforming scientific discovery.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia
Show Notes:
00:00 Introduction
1:22 NVIDIA's 10-year bets
2:28 Outpacing Moore’s Law
3:42 Data centers and NVLink
7:16 Infrastructure flexibility for large-scale training and inference
10:40 Building and optimizing data centers
13:30 Maintaining software and architecture compatibility
15:00 X.AI’s supercluster
18:55 Challenges of super scaling data centers
20:39 AI’s role in chip design
22:23 NVIDIA's market cap surge and company evolution
27:03 Embodied AI
28:33 AI employees
31:25 Impact of AI on science and engineering
35:40 Jensen’s personal use of AI tools
Ep17. Welcome Jensen Huang | BG2 w/ Bill Gurley & Brad Gerstner
Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week, Jensen Huang, CEO of NVIDIA, makes a guest appearance. In Bill’s absence, Brad is joined by Clark Tang (Partner at Altimeter) as they discuss with Jensen scaling intelligence towards AGI, the acceleration of machine learning, NVIDIA's competitive advantages, the significance of inference alongside training, future market dynamics in the AI landscape, the impact of AI on various industries, the future of work, inference time reasoning, AI’s potential to enhance productivity, the balance between open source and closed source, Elon’s Memphis Supercluster, X.ai, OpenAI, the safe development of AI, & more. Enjoy another episode of BG2.
Chapters
(00:00) Introduction
(1:50) The Evolution of AGI and Personal Assistants
(06:03) NVIDIA's Competitive Moat
(15:51 ) The Future of Inference and Training in AI
(19:01) Building the AI Infrastructure
(31:35) Inventing a New Market in an AI Future
(38:40) The Impact of OpenAI
(43:25) The Future of AI Models
(46.44) X.ai and Memphis Supercluster
(51:21) Distributed Computing and Inference Scaling
(55:54) Inference Time Reasoning and Its Importance
(01:00:46) AI's Role in Growing Business and Improving Productivity
(01:08:00) Ensuring Safe AI Development
(01:12:31) The Balance of Open Source and Closed Source AI
#jensenhuang #nvidia #bradgerstner #billgurley #clarktang #xai #memphiscluster #elonmusk #noambrown #openai #gptstrawberry
Acquired LIVE from Chase Center (with Daniel Ek, Emily Chang, Jensen Huang and Mark Zuckerberg)
Here it is: the complete video of the most unbelievable night of Acquired’s nine-year life… our sold out live show at the Chase Center in San Francisco. We joked during the months (months!) of preparation leading up to this event that it was like planning a wedding for 6,000 Acquired fans, and the guest list included Jamie Dimon, Daniel Ek, Emily Chang, Jensen Huang and Mark Zuckerberg… no pressure! But thanks to our amazing partnership with J.P. Morgan Payments, together we were able to make something incredible. Tune in and enjoy the celebration!
Sponsors:
Anthropic: https://bit.ly/acquiredclaude25
Sentry: https://bit.ly/acquiredsentry
WorkOS: https://acquired.fm/unpluggedPlaying Cards: https://bit.ly/workOSshop (Code: ACQDECK)
Statsig: https://bit.ly/acquiredstatsig26
Links:
Mike Taylor, the truly incomparable performer of Who Got the Truth?
Mike Amiri (who designed Mark’s shirt)
More Acquired!
Get email updates with hints on next episode and follow-ups from recent episodes
Join the Slack
Subscribe to ACQ2
Merch Store!
© Copyright 2015-2026 ACQ, LLC
Photo Credit: Mark Zuckerberg by Jeff Sainlar / Meta
© Copyright 2024 ACQ, LLC
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.
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:
Anthropic: https://bit.ly/acquiredclaude25
Sentry: https://bit.ly/acquiredsentry
WorkOS: https://acquired.fm/unpluggedPlaying Cards: https://bit.ly/workOSshop (Code: ACQDECK)
Statsig: https://bit.ly/acquiredstatsig26
More Acquired!
Get email updates with hints on next episode and follow-ups from recent episodes
Join the Slack
Subscribe to ACQ2
Merch Store!
© Copyright 2015-2026 ACQ, LLC
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.
The Computing Platform Underlying AI, 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.
No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode.
Show Links:
Jensen Huang | NVIDIA
Nvidia's A100 is the $10,000 chip powering the race for A.I. | CNBC
Nvidia CEO Jensen Huang: A.I. is at ‘inflection point’ | Fortune
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @Nvidia
Show Notes:
[1:26] - The early days when Jensen Co-founded NVIDIA
[4:58] - 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
Jensen Huang — NVIDIA’s CEO on the Next Generation of AI and MLOps
Jensen Huang is founder and CEO of NVIDIA, whose GPUs sit at the heart of the majority of machine learning models today.
Jensen shares the story behind NVIDIA's expansion from gaming to deep learning acceleration, leadership lessons that he's learned over the last few decades, and why we need a virtual world that obeys the laws of physics (aka the Omniverse) in order to take AI to the next era. Jensen and Lukas also talk about the singularity, the slow-but-steady approach to building a new market, and the importance of MLOps.
The complete show notes (transcript and links) can be found here: http://wandb.me/gd-jensen-huang
---
⏳ Timestamps:
0:00 Intro
0:50 Why NVIDIA moved into the deep learning space
7:33 Balancing the compute needs of different audiences
10:40 Quantum computing, Huang's Law, and the singularity
15:53 Democratizing scientific computing
20:59 How Jensen stays current with technology trends
25:10 The global chip shortage
27:00 Leadership lessons that Jensen has learned
32:32 Keeping a steady vision for NVIDIA
35:48 Omniverse and the next era of AI
42:00 ML topics that Jensen's excited about
45:05 Why MLOps is vital
48:38 Outro
---
Subscribe and listen to our podcast today!
👉 Apple Podcasts: http://wandb.me/apple-podcasts
👉 Google Podcasts: http://wandb.me/google-podcasts
👉 Spotify: http://wandb.me/spotify
.jpg?width=400){kind=small}