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HOME/PEOPLE/JENSEN HUANG
// PERSON

Jensen Huang

ROLE CEOAT NVIDIAMENTIONS 67LAST SEEN AUGUST 3, 2026
// BIO

Co-founder and CEO of NVIDIA, the leading GPU and AI chip manufacturer.

Discussed in
// RECENT MENTIONS
// SIGNALS
50 SIGNALS
01
mention·The AI Corner·AUGUST 3, 2026

Summary of Jensen Huang's address to Y Combinator's Startup School (6,000 founders), as analyzed by The AI Corner

Source
02
mention·The AI Corner·AUGUST 3, 2026

"So what you're telling me is what I contract you to do, you can't do, but you would like all the money on the contract." — Sega's CEO, restating Huang's ask

Source
03
product·The AI Corner·AUGUST 3, 2026

He open-sourced NVIDIA's self-driving stack, Alpamayo, to accelerate adoption across agriculture, mail delivery, and warehouse robotics

Source
04
mention·20VC·AUGUST 3, 2026

Of course, Jensen is in some sense self-serving with this letter. Because the more open source models are developed, the more companies are going to be training on GPUs... But nonetheless, I think it is actually a patriotic mission.

Source
05
mention·The VC Corner·AUGUST 3, 2026

'Let's say you have a software engineer or AI researcher and you pay them $500,000 a year; At the end of the year, I'm going to ask that $500,000 engineer: How much did you spend in tokens? If that $500,000 engineer did not consume at least $250,000 worth of tokens, I am going to be deeply alarmed.'

Source
06
mention·The AI Corner·AUGUST 3, 2026

Huang makes his most concrete forward bet in the interview: NVIDIA's robotics and autonomous vehicle business is already at approximately $10 billion in revenue, and he calls it the company's next $100 billion opportunity.

Source
07
mention·Newcomer Newsletter·JULY 31, 2026

CEO Jensen Huang has been so aggressive in funding the AI ecosystem that the company is functioning almost like a bank; with annual free cash flow nearing $100 billion and little debt, that isn't obviously reckless.

Source
08
mention·20VC·JULY 30, 2026

Jensen Huang's first-ever post on X — an open-weights manifesto signed by 50 companies including Microsoft, Meta, IBM, and OpenAI — signals that the open-source AI model debate has moved from academic to strategically urgent. NVIDIA is backing open weights not out of ideology but necessity: open models don't require CUDA, carry lower margins, and could bypass NVIDIA entirely.

Source
09
mention·Axios AI+·JULY 29, 2026

Nvidia's CEO met with Commerce Secretary Howard Lutnick to build a framework to give the government early access to the most advanced AI models.

Source
10
product·Lightcone·JULY 27, 2026

"We don't need as much data for cars to train a self-driving car, which led us to creating Alpamayo, which is the world's first thinking self-driving car. And with just a million miles or so, a couple million miles, it's an incredibly great self-driving car."

Source
11
mention·Lightcone·JULY 27, 2026

"Now you have Hermes and you have OpenClaw. You've got Langchain, DeepAgent. You've got all these different ways to build your own AI."

Source
12
mention·Lightcone·JULY 27, 2026

"They said Harvey is going to eliminate all of the paralegal jobs and the number of lawyers will be reduced. Turns out paralegals are growing like crazy."

Source
13
mention·Lightcone·JULY 27, 2026

"The big idea of the company that was spot on is that it is possible to augment the CPU to solve problems that otherwise are too difficult to solve... it's not about building a great chip. It's about accelerating an algorithm domain."

Source
14
mention·Axios Pro Rata·JULY 27, 2026

The next was Nvidia CEO Jensen Huang telling Axios that 'open-source models that are excellent should be used,' which he followed by signing a public letter in support of open-weight models. Other signatories included Microsoft, Meta and Andreessen Horowitz — all of which likely see open-source as demand drivers.

15
mention·The a16z Show·JULY 26, 2026

Jensen made a Twitter account basically to publish this open letter... I think that speaks to the significance of where we are right now.

Source
16
product·The a16z Show·JULY 26, 2026

Jensen made a Twitter account basically to publish this open letter... I think that speaks to the significance of where we are right now.

Source
17
mention·AI+ Government·JULY 24, 2026

Some of the companies hope that the government would be helpful in creating regulations to their advantage. Before you listen to all the rhetoric, before you listen to all the stories, before you manifest some kind of artificial intelligence future that is just not true — it's science fiction.

Source
18
mention·Newcomer Newsletter·JULY 24, 2026

'There's no scenario where China runs US companies off the road.'

Source
19
mention·StrictlyVC·JULY 23, 2026

Nvidia CEO Jensen Huang told Axios that U.S. companies should be allowed to use Chinese AI models, rejecting Washington's security concerns and arguing that open models strengthen competition, security, and AI demand.

20
mention·My First Million·JULY 23, 2026

Jensen went on TV saying he was like, you're right. The training is going to become more efficient, but the inference is going to go up by 1 million percent or whatever, 1,000,000x. And people are like 1,000,000x. And he's like, 1,000,000x.

Source
21
mention·Axios AI+·JULY 23, 2026
Source
22
hire·Axios AI+·JULY 23, 2026
Source
23
mention·Axios AI+·JULY 22, 2026

Nvidia CEO Jensen Huang says America has nothing to fear from China's open-source AI models — and everything to fear from banning them.

Source
24
mention·Lucinda Shen·JULY 22, 2026

Nvidia CEO Jensen Huang defends Chinese AI companies and open AI models like Kimi in an upcoming Axios interview

Source
25
mention·The a16z Show·JULY 21, 2026

The things that Jensen knows is he knows his customers. That's why NVIDIA does well beyond the fact that obviously they make a very complex technology.

Source
26
mention·Stratechery·JULY 20, 2026

Nvidia CEO Jensen Huang has described what Nvidia is building as 'token factories'... This is a framing that definitely made sense during the first paradigm of AI, the ChatGPT era, when tokens were delivered straight to the end user.

Source
27
mention·All In·JULY 15, 2026

When they started to build a real software stack — this CUDA thing — it just kept getting a little bit better and a little bit better... all of a sudden the crazy Japanese HPC guys said, hey, we could take those graphics cards and start using them in HPC.

Source
28
m_and_a·The AI Corner·JULY 14, 2026

The $20B NVIDIA deal didn't emerge from a negotiation process. It emerged because the working prototype already existed. Ross had integrated GPUs and LPUs for 3–4 months before the call with Jensen Huang. The deal closed in three weeks because the engineering gave Huang nothing to doubt.

29
mention·The AI Corner·JULY 14, 2026

There is no circumstance at NVIDIA where Jensen has one-on-ones with people and tells them one thing. Private conversations produce different understandings of the same decision. Employees compare notes, and the gaps become conflict.

30
mention·StrictlyVC·JULY 9, 2026

Nvidia has lost roughly $1 trillion in market value in less than two months, pushing its valuation to pre-AI-boom levels even as analysts keep raising profit estimates.

31
mention·All In·JULY 3, 2026

"Why has NVIDIA and Jensen downplayed their open source model until this moment? Because his top customers were very concerned about the fact that they had made so much progress on their open source model. But suddenly, after OpenAI announced their Jalapeño chips, after Anthropic started making chips, after AMD did successful projects with both of these companies, after Elon said he's going to do his own fab, NVIDIA is taking the gloves off."

Source
32
mention·Axios AI+·JULY 1, 2026

Salesforce CEO Marc Benioff and Rwandan President Paul Kagame will co-chair the commission. Tech leaders include Amazon CEO Andy Jassy, Anthropic co-founder Jack Clark, Cohere co-founder Aidan Gomez, Microsoft president Brad Smith, and Nvidia founder and CEO Jensen Huang.

Source
33
mention·Training Data·JUNE 30, 2026

Jensen absolutely hates a world where all the hyperscalers have all the power. There's a reason he's blowing money on random AI labs... he wants to create a multipolar world. That's why he loves Chinese labs... A world where OpenAI and Anthropic and Google models are the only models is one in which he's screwed. A world in which the hyperscalers are the only ones building compute is one he's screwed.

Source
34
mention·The AI Corner·JUNE 30, 2026

Cost per token keeps falling while total AI spend keeps climbing, because cheaper inference pulls in demand that did not exist before. He started filing tokens under cost of goods sold, the same budget conversation as energy and payroll.

35
mention·Axios AI+·JUNE 25, 2026

Nvidia and CEO Jensen Huang better recognized the moment and built the infrastructure and ecosystem around open-weight AI.

Source
36
mention·Sourcery·JUNE 20, 2026

Sometimes I'll go to San Francisco in between and then I'm completely dead. And then you see videos of Jensen Huang. He's in San Francisco one day. He's in Taiwan the next. He's in China, he's in DC. He is all over the place.

Source
37
mention·The a16z Show·JUNE 19, 2026

I'd say put Jensen in that rank lately. It's just like, wow.

Source
38
funding·No Priors·JUNE 18, 2026

I brought in NVIDIA's Jensen Huang for a $5B investment (now worth $25B+)

Source
39
mention·Sourcery·JUNE 18, 2026

I think Jensen is super impressive.

Source
40
mention·No Priors·JUNE 18, 2026

He focused on CUDA. He focused on NVLink. I want to be a platform company. And he did it.

Source
41
mention·The AI Corner·JUNE 15, 2026

"AI in the last several months became useful. That's the big idea."

Source
42
mention·20VC·JUNE 15, 2026

Jensen is so truth seeking. It's insane... He wakes up every day and tells himself that he sucks... He tells everybody around him that they're 30 days away from going out of business.

Source
43
mention·BG2·JUNE 11, 2026

A supercomputer that you would build would take normally three years to plan. Right. And then they deliver the equipment. And it takes one year to get it all working. We're talking about 19 days. N of one is right.

Source
44
product·Training Data·JUNE 10, 2026

We manufacture, call it 8 million of them this year, but 72 of them go into a rack. That rack weighs two tons. It is $4 million, has one and a half million parts, and it's the most expensive piece of equipment in the world.

Source
45
mention·Training Data·JUNE 10, 2026

Went from a computer industry that was largely based on retrieval for 60 years. And all of a sudden, one day, it's completely generated in real time. We call it intelligence.

Source
46
product·The AI Corner·JUNE 9, 2026

The solution — 72 chips ganged into a rack-scale computer (Grace Blackwell NVLink72) — was designed around the actual constraint (bandwidth), not the popular metric.

47
mention·The AI Corner·JUNE 9, 2026

The IBM System/360 defined the computing model in 1964, and everything since…was built on that foundation.

48
mention·The AI Corner·JUNE 9, 2026

John Hennessy at Stanford proved that a simpler instruction set co-designed with a compiler beats two separately optimized systems every time, because the whole outperforms the sum of the parts.

49
mention·The AI Corner·JUNE 9, 2026

The AI is this multi-billion dollar system and it sends off an instruction to use a tool and that tool is gonna run on the CPU. Meanwhile, this GPU supercomputer, this multi-billion dollar system is waiting for this one CPU.

50
mention·The AI Corner·JUNE 9, 2026

In the case of NVIDIA and co-design, we got 1,000,000x over 10 years. Somewhere between 100,000x and 1,000,000x. When you're talking about numbers that big, it really doesn't matter.

AI-extracted from podcast / newsletter / paper summaries. May contain errors.