Nvidia Buys Hugging Face 9/3/26

3 Sep 2026 · 34 min · 14 chapters

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In short

NVIDIA’s $12.93B acquisition of Hugging Face, an open-source AI model platform, plus discussion of open vs closed AI and AI use in education.

Guests (backgrounds)

Jensen Wong, CEO of NVIDIA (major AI chip/cloud/enterprise infrastructure provider). Clementa “Clem” DeLong, CEO of Hugging Face (open models platform).

Key claims

Open models and open data help defenders and accelerate innovation; “locking everything behind closed doors doesn’t work.” NVIDIA says Hugging Face will remain an open platform and NVIDIA compute won’t be required to build/deploy on it. Deal rationale: scale open-source AI, keep Hugging Face in “great hands,” and prevent fragmentation if other bidders won.

Notable examples

Hugging Face’s scale (18M developers, 200k enterprise customers, millions of models). Cybersecurity example: CrowdStrike partnership using NVIDIA’s Nemotron to build defender AI. Education aside: NYC moratorium on AI tools for elementary/middle students.

Written by AI. May contain mistakes. Listen to the episode to check what was said.

Chapters

Tap a time to open that second in VO

NVIDIA Acquires Hugging Face

2:16 to 8:46

Discussion on NVIDIA's acquisition of Hugging Face and its implications.

“Stand Becky by in 3, 2, 1, cue it please.”

NVIDIA Acquires Hugging Face

10:03 to 10:30

Discussion on NVIDIA's acquisition of Hugging Face and its implications.

“Download the latest episode and subscribe at schwab.com slash market update podcast or find Schwab Market Update wherever you get your podcasts.”

Jensen Wong and Clem DeLong Join the Show

10:30 to 14:00

Discussion with NVIDIA and Hugging Face CEOs about their acquisition deal.

“We've got some breaking news to tell you about.”

The Genesis of Hugging Face and Nvidia Partnership

14:00 to 14:37

Learn how Hugging Face and Nvidia decided to collaborate to enhance open source AI.

“No, Clem, I'm going to let you go first.”

Catalysts for Open Source AI Growth

14:40 to 16:02

Discover the events that highlighted the need for open models in AI.

“Because when you say something happened over the summer, the first thing that pops to my mind was OpenAI's agents kind of breaking in between May and July, you catching them, finding that was there.”

Navigating Between Open and Closed AI Models

16:02 to 18:29

Explore the balance between supporting closed and open AI models in the industry.

“Jen said you've been recently talking an awful lot about how open AI is a very important path, you and other leaders, but you have been pretty outspoken on this.”

Valuation and Strategic Importance of Hugging Face

18:34 to 24:16

Understand why Nvidia values Hugging Face at $12.9 billion and its significance.

“that we make sure that we provide Hugging Face the platform to continue to scale and for the resource for them to scale and extend the open model ecosystem and community.”

The Future of Hugging Face Under Nvidia

24:19 to 27:04

Learn about the future plans and aspirations for Hugging Face after the acquisition.

“And when people work in the open, it is safer, it is more secure, the technology advances more quickly.”

Commitment to Open Ethos in AI Development

27:04 to 28:00

Examine Nvidia's commitment to keeping Hugging Face open and accessible for all.

“We want to know who was in the running for this stuff, too.”

The Open Ethos of AI Development

28:00 to 29:50

Learn about the importance of open models and technology distribution in AI.

“And we contribute the model, the data set that we use to train it, the scripts necessary so that you can reproduce our model exactly as we have it.”
Show all 14 chapters

Concerns About AI Security

29:50 to 31:35

Discuss the risks and challenges posed by closed models in AI development.

“They're doing things that hadn't been expected before.”

Global Contributions to Open Source AI

31:35 to 33:59

Explore the international efforts in advancing open source AI technology.

“And Becky, this is such an important point.”

The Role of Open Models in Cybersecurity

33:59 to 35:36

Understand how open technology enhances cybersecurity defenses.

“Jensen, my question was, based on what you just said about why things need to be open, are you concerned about the models from the closed, the closed models that are here, OpenAI and Anthropic.”

Closing Thoughts on AI Collaboration

35:36 to 36:06

Wrap up insights from the discussion on AI and its collaborative future.

“You can't rely on just one or two companies to do so.”
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Transcript

Automatic transcript. May contain errors.

0:00Jensen Huang:You spent millions deploying AI across your organization, but six months in, it still misses basic context. Sound familiar? That's not an AI problem, that's a data problem. Siloed systems leave your AI blind, while dark data confuses whatever it does see. EverPure unifies your data so your model can see it, understand it, and put it to work. No waiting around, no digging for answers. Get real results from your AI at everpuredata.com. need a lesson in savings who doesn't that's where burlington comes in for back-to-school style because those school lists get long but your receipts shouldn't find backpacks and sneakers to sweatshirts and jeans burlington has them all from the brands your kids keep begging for why choose just a few looks with our prices just get them all burlington deals brands wow

0:59Jensen Huang:Bring in show music, please. Hi, I'm CNBC producer Katie Kramer. Today on Squawk Pod. One big deal, NVIDIA has officially agreed to buy open source artificial intelligence platform Hugging Face for nearly$13 billion. What happened? How did you two get together? We, we, oh, go ahead, Jensen. CEO of the world's most valuable company, NVIDIA's Jensen Wong, now a key Silicon Valley power broker. NVIDIA is the largest AI computing platform in the world. We support clouds. We support neoclouds. We support enterprise on-prem. We're all over the world. Wong on one of his largest deals ever, hugging face a virtual library of AI models that has been targeted by hackers and is ready for the fight of its lifetime.

1:46We hear from CEO Clementa Long.

1:48Jensen Huang:We needed open models, right? Because if you remember, we couldn't defend ourselves. The full conversation on AI's big future. AI models are now sufficiently good. The open frontier AI models are sufficiently good. And the agent harness systems that makes it easy for you to build your own AI are now sufficiently good that both sides are now growing incredibly fast. A huge show today. It is Thursday, September 3rd, 2026. Squawk Pod begins right now. Stand Becky by in 3, 2, 1, cue it please. Good morning everybody. Welcome to Squawk Box right here on CNBC. We are live from the Nasdaq market site in Times Square.

2:33I'm Becky Quick along with Andrew Ross Sorkin. Joe is out today.

2:37Jensen Huang:The NBA now suspending Los Angeles Clippers owner Steve Ballmer for a year for allegedly helping violate league salary cap rules related to star player Kawa Leonard. And it was a fascinating story. In summary, should we give a little summary? The findings assembled by a law firm, that was Wachtell, that investigated the Clippers, saying that the team initiated off-court income opportunities between Leonard and four companies doing business with the team and facilitated endorsement deals between Leonard and the companies. Now, the NBA hit the Clippers with a$30 million fine. That's the league's largest ever fine.

3:15Jensen Huang:The Clippers will also be subject to monitoring and forfeit five first-round draft picks starting in 2029. So it's going to have a big impact. Bomber is, of course, the co-founder of Microsoft, according to Bloomberg, the ninth richest person in the world. Are we describing him as the co-founder of Microsoft? I don't know if I put it in the back. He was an early employee. He was an early employee at Microsoft. In a statement, the Clippers saying that the team rejects the league's findings and intends to vigorously challenge them. in a statement through his agent. Leonard said he had no knowledge of anyone's intent to circumvent the NBA's salary cap.

3:49Jensen Huang:He said, I accept full responsibility for lapses in judgment by people within my inner circle and regret the distraction this situation has caused the fans and my family. It raises questions about the ESPN story, which we talked about, I don't know if you were Ian. I wasn't here that day. Two weeks ago, that came out and said there was going to be no, that the case was not real. There was nothing that was going to happen to Steve Ballmer and that he was basically being vindicated in all of this. And so there are a lot of people who are questioning some of the original stories about this. But you should see that Steve Ballmer himself and the Clippers put out a statement last night that really fires back very vociferously at this.

4:31We need to have that statement and take a look at this as well. His he's coming out guns blazing. He said they spent he spent 50 million dollars on legal fees, hired all kinds of firms that the NBA wanted him to hire for these investigations on some of these things. He blasts the commissioner, Adam Silver, on this as well and says, when you came out and said this, you said that you were going to proceed with this investigation. It would be done fairly in a way that you yourself would want handled. They said it was unfairly handled. I mean, there's there are going to be some repercussions because they're not taking this sitting down.

5:01They're fighting back and saying that they've been, you know, Steve Ballmer saying basically his reputation's been besmirched from the beginning based on something that came from a podcast on this. He put out, I think I read three or four pages of a response to this last night.

5:15Jensen Huang:Well, what I don't know is what kind of, you know, he can come back and say these things. But can he go to court over this? Is that the next step in this? I don't know. When you're in the NBA. Can you arbitrate these things? What's the. I wonder if he's considering a separate lawsuit against the league because he disagrees with us. I don't know how that would work, how it would come out. But I will tell you, he is angry and he's saying it very clearly. This is just part of the statement from the Clippers. But Steve Ballmer himself had a pretty vociferous response that came through with this. And it sounded like he's not going to take this and is not going to go quietly into the night.

5:53Jensen Huang:What I just don't know is, and maybe it says right here, in every avenue available to us, meaning that we're going to vigorously challenge this. What I don't know in the larger scheme of things is you probably, maybe you could go to court over something like this, but then I don't know. Well, if you feel like your reputation's been besmirched, maybe you'd have a separate lawsuit. But I don't know if you have any standing with the league to change it. Standing with the league, and I also don't know what therefore happens longer term with your ability to remain an owner in the league. Because ultimately, the league really does manage and decide who is an owner.

6:24Correct. I've got to find the entire statement that comes from him. But I mean, he really pushes back pretty vociferously. And I will say, when I saw the original stuff, I was like, wow, you can't do that. Balmer's point when they push back is that, you know, if you spent$50 million investigating any single one of these teams in the NBA, you will find instances where the teams have introduced their players to potential sponsors. And that's not against the law. It's not against the rules of the league. So he was very angry about this and saying, yeah, if you spend$50 million investigating any one of the teams in the NBA, you're going to find situations like this.

7:03And that's where you wonder if there is more to come with this.

7:09Jensen Huang:New York City out with some new guidelines on AI and education. The city implementing a one-year moratorium on public elementary and middle school students using the technology in classrooms. The policy will affect about 600 ,000 students. Mayor Zoran Mandani said that schools would stop the current use of about 40 educational tools at a press conference. He said children need teachers and human connection in order to learn and grow. Public high school students will still be allowed to use AI in some cases, and teachers will be able to use it for lesson planning. But this gets right at sort of a larger national question about how parents are supposed to parent and what AI is supposed to do.

7:46Jensen Huang:also gets at this very interesting alpha school group, which is trying to effectively put AI right in the classroom at the very elementary level. Currently, they have an outpost in New York that just opened last year. I believe if you enroll your kids there, you effectively have to attest that you are teaching them at home. Right, because they don't have the certification yet. Because they're not certified. And by the way, at this rate, they clearly are not going to get certified. I mean, look, there's a big pushback against technology in schools at this point to make sure kids are doing it themselves.

8:23In New Jersey, they passed a law that you're not allowed to have your phones at all during the school day. And it's a couple of days into school right now. And it's an interesting transition for the kids. But they are talking. They are looking at each other. Just went to school last night.

8:38Jensen Huang:Cheese will be next. Coming up on Squawk Pod, NVIDIA's Jensen Wong on one of his largest acquisitions to date,$12.9 billion for AI platform Hugging Face. Our extended conversation in full when we come back.

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10:03Jensen Huang:Join host Keith Lansford for this information-packed daily market preview delivered in 10 minutes or less, including projected stock updates, monetary policy decisions, and key results and statistics that may impact your trading. Download the latest episode and subscribe at schwab.com slash market update podcast or find Schwab Market Update wherever you get your podcasts.

10:29This is Squawk Pod from CNBC.

10:32Jensen Huang:Straight up on Becky. Three, two, one. Up on Becky. Q. We've got some breaking news to tell you about. A significant deal taking place, a deal that's actually been reported on and expected for some time. This is actually happening. NVIDIA is acquiring Hugging Face. It says that this is a deal that's going through. There's just a blog post that's out from Jensen Wong, and he is saying that they are acquiring Hugging Face for$12.93 billion. This has been, again, widely speculated on over the last about a week or so, that reporters have been kind of hearing about this, seeing some of these things.

11:09This is a situation where they're going to be bringing Hugging Face in, and NVIDIA is making the point that it will remain an open platform for the entire AI ecosystem. They say that that NVIDIA compute will not be required to build on or to deploy through HuggingFace. But this is an interesting step as NVIDIA kind of moves beyond just the chip making capabilities, brings it quite a bit deeper into what is going on in the AI infrastructure. HuggingFace, of course, is a platform of open source AI models. A deal this size is a very large one for NVIDIA. In fact, it's about the second largest in the company's history.

11:48CEO Jensen Wong writing in a blog post on this, again, that Hugging Face will remain an open platform for the entire AI ecosystem, and developers will choose how they want to work with some of these things. It's an expensive price point,$12.93 billion. There is the anticipation that there could be up to a billion dollars in additional money to try and keep some of these employees on as retention bonuses that go to that. So I guess maybe you add that to the cost of the deal going through. But the CEOs of both NVIDIA and Hugging Face are going to be joining us in just a few minutes right here on Squawk Box to talk about this deal.

12:24It's an interesting one, Andrew, because of the move that Jensen and others have made towards the open AI system, not just the closed models, the frontier models that have been their biggest customers.

12:35Jensen Huang:Well, the big thing that I'm so curious to hear from Jensen about is just this idea of the rationale for buying this. Was it to prevent somebody else from effectively buying Hugging Face and turning it into a closed system? What was the rationale? I mean, clearly he's going to keep it open, which is great. But if he didn't do it. I think it would be tough to not keep it open from a regulatory perspective. But if he didn't do it, what was going to happen to Hugging Face? I mean, I think that's the thing that I think. The other idea is this is a very big price to pay for this. You want to justify the price and shareholders are saying, well, they'll have to be using a lot of NVIDIA.

13:11But then you also have to say, we are going to keep it open to do that at the same time. So how do you kind of match up the price with the idea that you're keeping it open? Is it worth the price of admission? And we're going to hear from both Jensen and from Clem in just a few minutes right here on Squawk Box.

13:30NVIDIA is officially acquiring Hugging Face for$12.93 billion. Joining us to talk about this deal right now is NVIDIA CEO Jensen Wong and Hugging Face CEO Clem DeLong. Gentlemen, welcome to both of you. It's good to see you. And Jensen, I like your sign. It's the Hugging Face. All right, gentlemen, let's talk.

13:51Jensen Huang:I have one in the background, too. Yes, I see. The one right behind you. This deal has been rumored. There have been people speculating about this for well over a week at this point. What happened? How did you two get together? Well, we... Oh, go ahead, Jensen. No, Clem, I'm going to let you go first. Yeah. So, I mean, during the summer, I think we realized that Hugging Face and open source AI in general was at the turning point and that it needed more resources, more scale, more visibility. So we went to see Jensen and we told him, we want to make open source AI big. And he told us, let's do it.

14:34Jensen Huang:So that's really how it started. And a few weeks later, here we are. Clem, what happened over the summer? Because when you say something happened over the summer, the first thing that pops to my mind was OpenAI's agents kind of breaking in between May and July, you catching them, finding that was there. Was that the catalyst? Or were there other things happening that made you think, we really need deeper pockets? When that happened, what we realized is that we needed open models, right? Because if you remember, we couldn't defend ourselves with proprietary closed source APIs. So we had to use open models to defend ourselves.

15:12Jensen Huang:So it did show the importance of open source. And I think more generally in the field, you're going to see the IPO of Entropic in a few months. I think there are two paths where there's a path where proprietary APIs are dominating the field and everyone is kind of like outsourcing their AI to them. And there's a path where open source AI is available to everyone and everyone can actually become like an owner, a builder of AI and not just renting it or using it from other people. And so I think it became clear that there was these two paths and that we needed to double down on open source AI to really distribute the technology as much as we can all over the world.

16:02Jen said you've been recently talking an awful lot about how open AI is a very important path, you and other leaders, but you have been pretty outspoken on this. But the closed AI, the large language models, those companies like open AI and Anthropic, they've been some of your biggest customers and continue to be some of your biggest customers. How do you walk this path between closed AI and open AI?

16:26Jensen Huang:In fact, if you talk to the closed model labs, they also tell you they are very supportive of open models and they believe there's a place for open models. NVIDIA is the largest AI computing platform in the world. We support clouds. We support neoclouds. We support enterprise on-prem. We're all over the world. And what you're seeing right now is that in the last year, and really accelerating in the last six months, AI has become useful. And these tokens are, these AI models are generating productive tokens, and they're doing so for both closed models as well as open models. I recommend that people use closed models as much as they can, you know, because it's off the shelf.

17:12Jensen Huang:It's incredibly good. It's advancing very quickly. We use Cloud Code here. We use codex. We use perplexity. We use cursor. Whenever we could use a rented service, because it's done so well, we should use it as much as we can, and we do. However, there are so many companies, whether it's fundamental science research, companies who have domain expertise and proprietary information that they want to protect. Maybe it's something to do with a regulatory reason or sovereignty reason. They need to have control, ownership, and the continued advancement of their own intellectual property. And so AI models are now sufficiently good.

17:55Jensen Huang:The open frontier AI models are sufficiently good. And the agent harness systems that makes it easy for you to build your own AI are now sufficiently good that both sides are now growing incredibly fast. And so you know that cloud service providers represents only half of NVIDIA's business. And yet the other half of our business are really largely driven by open models. And so NVIDIA is growing in both directions. And our fundamental goal is just to make sure that AI advances as quickly as possible. And it's really, really important right now as the open models are really accelerating that we make sure that we provide Hugging Face the platform to continue to scale and for the resource for them to scale and extend the open model ecosystem and community.

18:46Yeah, Jensen, when Clem came to you and said that they wanted to partner up, how did you react? What did you think? And how did you all get to the 12.93 billion dollar price tag? I think$4.5 billion was the valuation back in 2023 when there was a big round of others like Google and NVIDIA and Salesforce all kind of stepping in at that point, too.

19:08Jensen Huang:Well, Hugging Face, as you know, they have 200 ,000 enterprise customers, 18 million developers around the world, 3 million models that are now 3 million models that are available on Hugging Face. It goes across languages and world foundation models and physics models and chemical models and biology models. It basically cuts across every single field, robotics models, every single field of AI. And when he came to me, you know, and also we're the largest contributor of open models in the world by far. And when he came to me and said that they're thinking about their next chapter, my first thought was, of course, I want to make sure that this platform, this company is in great hands.

19:57Jensen Huang:And to make sure that it can continue to thrive and grow. Because as it turns out, they've been working on this now for 10 years. Their vision is spot on, that there's a large community and industry of people who really need open models. So their vision was spot on. And at a time when open models are accelerating, this is really a very, very delicate time. And we want to make sure that it has all the support necessary. And so when he came to me, my first thought was, oh, no, you know, this everything is going so well. And I really wish that they would they would continue on a standalone basis.

20:36Jensen Huang:But there are other there are other bidders and twelve point nine billion dollars is what it took to close the deal. And it's worth every single penny. And, you know, as you know, NVIDIA, as I mentioned, NVIDIA is the largest AI computing platform in the world. Open models matters greatly to our company, which is the reason why we invest so much ourselves. There are so many industries beyond languages that benefit from open models. And we are completely committed to it. And we're so dedicated to what we're ready. It's really important to us that it lands in a good place. And NVIDIA is a great home for them.

Read the full transcript

21:14Jensen, Andrew asked the question before the break when we came up here, just to talk a little bit about why you did this. And it sounds like you're confirming that. You were concerned that if it wound up in different hands, it might break the system that was there. You paid$12.9 billion to keep it out of others' hands?

21:31Jensen Huang:No. Well, we paid$12.9 billion because, one, that's what it's worth. And, two, open models means so much to us. And if HuggingFace was looking for the next chapter and a home for their company, NVIDIA should be it. And Clem was so gracious to come to me. And he told me about his home and about the company he's built. And it's time for him to consider our next chapter. And he's got other interests and other companies who are interested in the company. And so the fact that this is so important to us is such a large growth driver of our company. And together, we can scale open community even faster than they're able to do today, which will be great for NVIDIA.

22:22Jensen Huang:And so this is great for Hugging Face. This is great for the open model community. It's great for NVIDIA. Clem, what are your other interests and are you going to stay with Hugging Face? Yes, the three founders and the whole team is going to join NVIDIA. Jensen was in our all-company team meeting just a few minutes ago, and you couldn't imagine how everyone was excited about that. So the goal really is to join NVIDIA, to continue to run independently, neutral platform within the NVIDIA team. and everyone is super excited to get to this next level and reach even more impact. As Jensen mentioned, we have 18 million AI builders using us.

23:14Jensen Huang:I think in the next few years, we should aim at getting 100 million AI builders on Hugging Face and really empower anyone in the world to not just be an AI user, but also be an AI builder themselves and own their intelligence. I think if we achieve that, we will have kind of like a massive impact in the world. There had been reports that there could be as much as a billion-dollar retention plan put in place to keep the talent at Hugging Face. Is that the case? Yes. So we not... Oh, okay. Hugging Face is all about the talent. I'm not commenting, but... No, there's no reason not to. the talent is everything.

24:01Jensen Huang:The talent is absolutely everything. And so Hugging Face, the people of Hugging Face and the employees of Hugging Face, this is their life's work. And they've done such an incredible job and such an incredible service to the world and the industry to create this platform where all of the community can come together to advance AI together. And when people work in the open, it is safer, it is more secure, the technology advances more quickly. That's the reason why NVIDIA contributes so much to Hugging Face. And we're so committed to Hugging Face. And this opportunity allows us to bring the two companies together and move even faster and scale the open platform even more broadly and even more quickly.

24:45Jensen Huang:And so this is a huge win for Hugging Face, is a huge win for the community, huge win for us. I was just happy that when he was, you know, of course, I'm always happy when companies thrive and they continue to be a great partner of ours. However, if he's going to, if he's thinking about the next chapter of Hugging Face, it absolutely should be at NVIDIA. Clem, Jensen mentioned that there were other bidders involved. Did you go to Jensen first? Who were the other bidders? Yeah, I went to Jensen and first because as I said, I think NVIDIA is the perfect home for a hugging face, right? The alignment is of use.

25:24Jensen Huang:I think when Jensen led this letter in support of open source during the summer, it was another example of the alignment, of the mission alignment, of the culture alignment. I think we're trying to achieve very similar missions in the world. and so NVIDIA was definitely the best home for hugging face. The letter that went out, that was before your discussions started taking place? Yes, yes it was. I mean, NVIDIA has always been a great partner of ours over the years. As Jensen mentioned, the largest American contributor to the platform with open models but also open data sets. So obviously we've known each other for quite a while.

26:14Jensen Huang:But the discussions went quite fast because it was quite obvious, I think, to everyone that this was kind of like the best fit. And that was giving us a chance to really go further, bigger, get 200 million AI builders, as I was mentioning, and really make sure that open source AI is a great force in the field and in the world. Who were the other bidders? Were they some of your other investors? I don't think it matters too much. Again, I think NVIDIA was the best home for us. We were super happy. As Jensen mentioned, we started 10 years ago. We hope that in the next 10 years with NVIDIA, we can achieve great, great things.

27:03Jensen Huang:Oh, Becky, it doesn't matter who the other bidders were. It only matters who wins. Yeah, we're interested. We want to know who was in the running for this stuff, too. Jensen, you put out in this blog post this morning, you said, NVIDIA compute will not be required to build on or deploy through hugging face. You've mentioned already it's pretty important that this stays open. I guess maybe there's the question of why not say, hey, we're just going to make this NVIDIA powered only and really kind of push our advantage on that. Why not do that? That's just not the open ethos. You know, when you think about what NVIDIA does, we contribute more to open models and open data sets than anybody in the world.

27:50Jensen Huang:Just take a step back and just think. You know, there are a lot of people contributing to open source and open models and open data and open scripts and things like that. And we contribute more than anybody else. And we contribute the model, the data set that we use to train it, the scripts necessary so that you can reproduce our model exactly as we have it. And we contribute all of that to the world and it runs on everybody else's platform. And so this is the open ethos. If you really believe in advancing the technology quickly, safely, securely, and you want this to benefit every single industry, every single company, including companies that you might compete with, You know, that's the open model.

28:33Jensen Huang:That's the open model ethos. And so we're completely bought into it. So much of the CUDA stack is open. The original large model training script called Megatron Core, that Megatron Core was open sourced by us and enabled everybody to scale up their training of AI models. The inference platform called Dynamo, completely open, enabled everybody to inference at very high scale. And so we really believe in advancing this technology for the benefit of society and, of course, accelerating the industry. Now, of course, it's great for our business because we're also the world's largest AI computing platform for training and for inference.

29:17Jensen Huang:And therefore, you know, when it when AI advances, whether it's in the cloud, in a in an on prem data center like a drug discovery company, an incredible supercomputer center that Lily built or all the way out at the edge in a self-driving car or robotic system. NVIDIA benefits whenever AI advances. And so this is great for the industry. It's great for companies. It's great for countries. And it's great for us. Clem, you said you wanted to do this because, look, there are a lot of concerns about what's happening with AI and how quickly things are moving. There was a report just yesterday that looked at the new Astra model that OpenAI is bringing up and real concerns from security experts saying there's opaque recurrence that is happening with this model that really has experts rattled about what this means.

30:10Can you stop some of these agents? They're doing things that hadn't been expected before. The chain of thought will be more difficult to monitor. What's your concern on this level and what do you think you can do about it?

30:23Jensen Huang:Well, I think what we learned is that locking everything behind closed doors doesn't work. Why? Because that's what's been happening. Like if you look at the models that attacked us during the cyber attack, it was actually an unreleased model behind closed doors. So this approach doesn't work. What we feel like works is distributing this technology, especially with open weights, so that you leave all the playing fields and you give everyone kind of like the ability to defend themselves. Right. The real risk is when you have massive asymmetry of power and capabilities between two players, because that's when the attacks can be the most dangerous.

31:13Jensen Huang:But when you level the playing fields and you give everyone the same tools, the system continues to work, right? And if the attacks become more sophisticated, the defense will get more sophisticated. And so at the end of the day, this is a system that works. And in this system, obviously, open models, open data sets, distributing the technology as much as possible is the most important thing. And Becky, this is such an important point. Becky, if I could jump in for a second. This is such an important point. If you recall, the transition from a computer being a personal computer to the computer being an infrastructure for the world is when the world needed open source Linux.

32:02Jensen Huang:The fact that you can build open source Linux in plain sight, Kubernetes in plain sight, it's the safest, it's the most secure way of doing something. In the world of cybersecurity, everybody knows asymmetry defense is ultimately your best defense. And when I say asymmetric capability, there are way more people who are protecting than there are people who are attacking. And so the benefit of having the community come together with open models so that they can collaborate all transparently with each other gives the defenders an asymmetric advantage over the attackers. Jensen, are you concerned about what OpenAI is building then?

32:48Jensen Huang:Hang on a second. Ask. Hey, can somebody take. Yeah. Clem, let me ask you. We'll get back to Jensen with that in a second. I think he must have the president calling. Clem, let me ask you. You have said that OpenAI, or that you think China is winning on the OpenAI front. Do you think that's still the case? Well, we think on the platform. And that's kind of like also a beauty of what we're announcing today is that with open source AI, it can come from anywhere. around the world, right? Obviously, I'm French, as you can hear from my accent. We have a big part of the team in France. And we have big and important contributors to open source AI there, right?

33:30Jensen Huang:With Mistral. In Canada, we have Cohere. In China, there are a lot of important contributors to the open source AI field. So, and one of the things that we want to focus on with NVIDIA is to continue to do that, push more sovereign AI, so give any country the ability also to own their own AI and build their own AI. And we hope it's going to accelerate in the next few years. Great. Hey, I think Jensen can hear us again. Jensen, my question was, based on what you just said about why things need to be open, are you concerned about the models from the closed, the closed models that are here, OpenAI and Anthropic.

34:17Are you worried about what they're doing at this point?

34:19Jensen Huang:Well, I'm not exactly sure what they're doing, but there's a place for closed models and there's a place for open models. The fact of the matter is defenders need access to frontier capability open models. And that access really enables the defenders to be able to innovate and build their domain-specific cybersecurity expert harnesses and turn them into great AIs. And you saw the other day the partnership that we announced with CrowdStrike using NVIDIA's open models, Nemotron. They were able to create a frontier AI, cybersecurity AI defender. And that capability, I think you're going to see a lot more of.

35:07Jensen Huang:I think the bottom line is that the way to think about that is you want to put in the hands of defenders all of the best technology you can as quickly as you can. And there's just no better way of putting great technology in the hands of defenders and the world to defend themselves than open technology, open model, open source, which is the reason why we're doing all of this. The collaboration with CrowdStrike is the first step. You're going to see a lot more collaborations around open models in the world of cybersecurity because that's what it takes to defend the world. You can't rely on just one or two companies to do so.

35:45Jensen Huang:You have to enable the entire crowd, if you will, the asymmetry of defenders who want to defend themselves to be able to enable that to happen. OK. Jensen, Clem, I want to thank you both. Congratulations on the deal, and we appreciate your time this morning. Thank you, Becky. Congratulations, Clem. Thank you very much. Thank you. Thank you, everyone. Thank you, Jensen. Thank you. We'll be right back.

36:15Jensen Huang:If you like YouTube, you'll love YouTube Premium. Hi, I'm Sean Evans from Hot Ones, and I want to tell you about YouTube Premium. It has offline downloads, so you can watch without Wi-Fi. Background play, so you can lock your phone, and it still plays, baby. Oh, and it is completely ad-free. Yes, I said it. ad-free. Try YouTube Premium for two months free at youtube.com slash premium. Trial eligibility varies. Terms apply. Cancel any time. This episode is brought to you by Schwab Market Update, an original podcast from Charles Schwab. Join host Keith Lansford for this information-packed daily market preview delivered in 10 minutes or less, including projected stock updates, monetary policy decisions, and key results and statistics that may impact your trading.

37:05Jensen Huang:Download the latest episode and subscribe at schwab.com slash market update podcast, or find Schwab Market Update wherever you get your podcasts. When you partner with CDW, you get more out of your network with solutions that support transformation. CDW experts are delivering seamless experiences using Cisco networking solutions, bringing first responders reliable connections, developers high-bandwidth apps, and clinicians secure collaboration. Make amazing happen. Learn more at cdw.com slash cisco.

37:47That's it. That's Squawk Pod for today. Thanks for listening. Squawk Box is hosted by Joe Kernan, Becky Quick and Andrew Ross Sorkin. Tune in weekday mornings on CNBC at 6 Eastern. To get the smartest takes and analysis from our TV show, right into your ears, please follow Squawk Pod wherever you get your podcasts. We'll meet you right back here tomorrow.

38:11Jensen Huang:We are clear. Thanks, guys. Thank you so much.

38:24Jensen Huang:by Schwab Market Update, an original podcast from Charles Schwab. Join host Keith Lansford for this information-packed daily market preview delivered in 10 minutes or less, including projected stock updates, monetary policy decisions, and key results and statistics that may impact your trading. Download the latest episode and subscribe at schwab.com slash market update podcast or find Schwab Market Update wherever you get your podcasts.

From the publisher

Nvidia has officially agreed to buy open-source artificial intelligence platform Hugging Face for $12.9 billion, as the chipmaker and world’s most valuable company moves into a future beyond hardware. The CEOs of both companies, Nvidia’s Jensen Huang and Hugging Face’s Clement Delangue,  join exclusively to discuss the terms of the courtship and the deal – and the future of artificial intelligence’s open source commitment. Plus, the NBA suspends Clippers’ owner Steve Ballmer for violating terms of the league’s salary cap in signing Kawhi Leonard. And, New York City schools ban AI from elementary school classrooms

Jensen Huang and Clement Delangue - 13:32 

In this episode: 

Jensen Huang, @JensenHuang

Clement Delangue, @ClementDelangue

Becky Quick, @BeckyQuick

Andrew Ross Sorkin, @andrewrsorkin

Katie Kramer, @Kramer_Katie

 


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