Dell CEO Michael Dell & Nvidia CEO Jensen Huang Talk Agentic AI, Memory Demand & China

Summary

Bloomberg Talks

Episode Title: Dell CEO Michael Dell & Nvidia CEO Jensen Huang Talk Agentic AI, Memory Demand & China
Date: May 18, 2026
Host: Bloomberg

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Episode Overview

This engaging episode features Michael Dell (Chairman and CEO of Dell Technologies) and Jensen Huang (CEO of Nvidia) in conversation with a Bloomberg host live from Dell Technologies World 2026. The discussion explores the latest advancements and business models in AI—focusing on “agentic” AI, the surging global demand for memory and computing infrastructure, supply chain challenges, the changing landscape of US-China tech relations, and the evolving role of enterprise and personal computing.

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Key Discussion Points & Insights

1. AI Adoption Shifts: From Experimentation to Production

• Michael Dell notes a significant transition in client behavior:

  “It’s kind of moved from testing and evaluating into production… this is propagating broadly across all customers in every industry in every country.” (00:46)

  • Use cases like Eli Lilly and Samsung highlight real-world, non-virtual implementations.
  • Growth is enormous, but both CEOs describe this stage as “just the beginning,” especially for enterprise applications.

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2. Agentic AI: Next Evolution in AI Workloads

• Jensen Huang highlights the move from cloud-only models to local (on-prem) “agentic AI”:

  “Wherever the action is, that’s where you want to produce the intelligence... for Lily, Samsung, the future manufacturing a lot of companies, you want the agents to be on prem because that’s where all of your data is…” (02:00)

• Agentic AI means AI systems not just generating content but performing operational work:

  “Making content is very important, but doing work is really valuable. And now we're doing productive work incredibly well. That's why they're called agentic AI.” (02:51 – Jensen Huang)

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3. Supply and Demand in the AI Infrastructure Boom

• On how Dell and Nvidia serve booming enterprise demand for AI infrastructure:

  “The supply chain that Jensen has built, we built together, is continuing to scale up… companies are understanding that when they reimagine their workflows using this technology, they don’t get 10 or 20 or 30% improvement. They get 10 times or 20 times or 100 times…” (03:17 – Michael Dell)

• The Middle Market Opportunity: The rise of smaller-scale datacenters and industrial applications expands Nvidia’s reach “away from the frontier labs, away from the hyperscalers.” (04:17)

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4. Deep Dive: AI Platform Architecture

• Jensen Huang offers a detailed technical summary of the latest Nvidia/Dell stack:

  “We had to build the brain. This is the Grace Blackwell MD Link 72, the Vera Rubin MD Link 72, Giant Large Language models… the Vera CPU… highest performance CPU in the world, designed for agentic AI… a new type of long-term memory for agents [the Dell AI Data Platform], networking to scale it out built on Nvidia… the agent runtime itself we call Nemo Claw, running in a secure and governed container called open shell.” (05:47)

• Dell’s role is to “turn it into solution that people can use”—making advanced AI accessible to a vast range of enterprises. (06:44)

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5. The Expanding Role of CPUs in the Agent Era

• Both CEOs stress that agentic AI massively increases server CPU demand:
  • “As you move to these agent frameworks inside companies, you use a lot more CPUs… that’s just the reality of what’s happening.” (07:23 – Michael Dell)
  • “People use tools every now and then. Agents are going to use tools all the time and agents use tools very quickly. And so we’re going to need a lot more CPUs. And those CPUs are connected to GPU brains…” (07:48 – Jensen Huang)

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6. Bottlenecks and Memory Supply

• Memory is cited as a primary constraint:

  “Certainly, certainly memory is a challenge... the semiconductor supply chain is ramping, but the demand is growing faster than the supply.” (08:29 – Michael Dell)

• Memory isn’t just cyclical anymore:

  “We have to make sure that the supply chain upstream and downstream are prepared for this future... We have now reached a level of agentic AI, useful AI, productive AI capability. And the way to think about these agents is kind of like just digital workers. We’re going to have billions of AI agents in the world and they’re going to be working 24/7.” (09:59 – Jensen Huang)

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7. Managing Supply Chain and Forecasting

• On convincing suppliers (like Micron, SK hynix):

  “Michael and I do this all the time. We spend a lot of time with the supply chain… Our job is to make sure that the vision of the future of the industry we convey upstream to our supply chain so that they are building for it.” (09:59 – Jensen Huang)

• Despite partnerships and forecasts, demand outpaces:

  “It does take a long time to build these factories. But we've got great relationships… Even though we'd like more.” (12:02 – Michael Dell)

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8. Global Dynamics: China & Geopolitics

• Jensen Huang on China:

  “The President wants America to lead the AI revolution. And so H2 hundreds are licensed to sell to China… the demand in China is so incredible, just like it is here… My sense is that over time, the market will open.” (13:45)

• Michael Dell’s view (as a member of the President's Council):

  “I hope that there’s more economic collaboration between the United States and China... that ultimately is what will lead to greater outcomes of prosperity for everyone…” (15:26)

• On Taiwan’s supply chain risks:

  “Taiwan is still epicenter of the world’s technology, manufacturing and technology development... It is possible to have supply chain diversity and resilience and we, everybody should be seeking to improve that. It is also very true that Taiwan will continue to be one of the epicenters of the world's technology hub.” (16:24–17:12 – Jensen Huang)

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9. The Role (and Future) of Personal Computing

• AI PCs’ evolving role:

  “It’s still the device that is the center of productivity for knowledge work… Those devices are evolving too. You saw on stage how we’re embedding the ability to run the small models and local models inside your PC.” (18:01 – Michael Dell)

• On 'Personal AI':

  “Think about the arc... it was the beginning of personal computers. We're now seeing the beginning of AI in the cloud… But we're also going to see personal AI instead of personal computers. Want personal AI. So the question is... AI needs to be where the context is.” (19:22 – Jensen Huang)

• “Distributed intelligence and unmetered intelligence. Right. Where you can generate as many tokens as you want ED on your new XPS 16...” (20:28 – Michael Dell)

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Notable Quotes & Memorable Moments

• “Making content is very important, but doing work is really valuable. And now we're doing productive work incredibly well. That's why they're called agentic AI.”
  — Jensen Huang (02:51)

• “Agentic AI has completely... reinvented computing.”
  — Jensen Huang (04:49)

• “They don’t get 10 or 20 or 30% improvement. They get 10 times or 20 times or 100 times.”
  — Michael Dell (03:17)

• “We’re going to have billions of AI agents in the world and they’re going to be working 24 7.”
  — Jensen Huang (09:59)

• On supply chain outlook:

  "We're going to be building this out for a decade, maybe more. Because after this, this digital agents will be physical agents."
  — Jensen Huang (12:34)

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Important Timestamps

• 00:46 – Michael Dell on the evolution from testing to production AI
• 02:00 – Jensen Huang explains the on-prem agentic AI shift
• 03:17 – Michael Dell on supply chain and demand explosion
• 04:49 – Jensen Huang on the platform architecture and agent harness
• 07:23–07:48 – CPUs, agent frameworks, and exponential demand
• 08:29–08:52 – The memory supply bottleneck
• 09:59 – Future of memory supply and digital agents
• 13:45 – Jensen Huang on US-China tech policy and AI demand in China
• 16:24 – On Taiwan’s manufacturing centrality and supply chain resilience
• 18:01 – The evolving personal computing/AI PC landscape

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Overall Tone and Takeaways

The conversation is forward-looking, technical but accessible, and deeply optimistic about enterprise and global AI opportunities. Both Dell and Huang emphasize partnership, rapid infrastructure buildout, and the criticality of resilient supply chains in a world shifting to “agentic AI”—where digital agents augment and expand human productivity at exponential levels.

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End of Summary

Transcript

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[Bloomberg Audio Studios Announcer]

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[Interviewer (Possibly Bloomberg Host)]

Hello, Michael. In the quarter, gone one new clients for AI Server for AI Factory. It's a hell of a jump. What is it that those new clients, 5,000 total, are actually building now, different to one year ago. I think that's probably a good place to start.

[Michael Dell]

I think the change we see is it's kind of moved from testing and evaluating into production. And we showed some great examples on stage, right with Eli Lilly. With a thousand gpu. In the physical world, it's Samsung and these are not things that are on the screen, right? This is in the real world with the largest companies in the world. And so it's propagating broadly across all customers in every industry in every country. And you know, you see the improvement in all the models and now we have the agent capabilities. And so while it is exciting, there's been a tremendous amount of growth. I still think it's just the beginning of this wave, particularly when it comes to enterprise, which is really where, you know, we have an enormous opportunity.

[Interviewer (Possibly Bloomberg Host)]

What's so fascinating, Jensen, is you spent four years telling me that we needed to change the definition of the computer in a context of accelerated computing. But the big focus was on the hyperscalers, right, Cloud. What I took from Michael's presentation was this is happening, you said locally, but on prem. What's the Nvidia interpretation of that?

[Jensen Huang]

Part of this cycle, intelligence has to be performed, produced at the point of cloud context. And so wherever the context is, wherever the action is, that's where you want to produce the intelligence. For most of the early applications of AI, it was in the cloud. A lot of consumer services are in the cloud. However, for Lily, Samsung, the future manufacturing a lot of companies, you want the agents to be on prem because that's where all of your data is, where all your secure data is, your proprietary data and all of the skills associated with your company. Company is. And so now we have agents that are here AIs that can do work.

[Interviewer (Possibly Bloomberg Host)]

Right?

[Jensen Huang]

ChatGPT was fantastic, a launch generative AI,

[Interviewer (Possibly Bloomberg Host)]

but it just made content, that was it.

[Jensen Huang]

Making content is very important, but doing work is really valuable. And now we're doing productive work incredibly well. That's why they're called agentic AI.

[Interviewer (Possibly Bloomberg Host)]

In this new era, what everyone is trying to Work out is aren't all the GPUs locked up at the hyperscalers? How is Michael Dell going to service those 1000 new clients, clients with the GPUs to build their own on prem local AI factory?

[Michael Dell]

Well, the supply chain that Jensen has built, we built together is continuing to scale up. And while it's true that there's more demand than supply, there's more supply that's, that's being added and you know, customers are figuring out how they start to scale these systems up. So you know, I think what's also happening is companies are understanding that when they reimagine their workflows using this technology, they don't get 10 or 20 or 30% improvement. They get 10 times or 20 times or 100 times. And that is really the speed that matters to make a business successful. We're doing it ourselves, Nvidia is doing it. And so it's not a secret anymore that these things are possible. And every company wants to capture that speed and translate it into competitive advantage outcomes.

[Interviewer (Possibly Bloomberg Host)]

Dell was the sales channel, right. Jensen, Michael's company is very good to selling technology to America's biggest companies. How is that going to change things for Nvidia going forward? Like the makeup of the types of companies we're talking about are at scale, but there's also that kind of middle market of data center that's being built different kinds in the industrial space, in health care. Is that something that puts Nvidia into new territory away from the frontier labs, away from the hyperscalers?

[Jensen Huang]

Well, Nvidia is a technology company, right? The hyperscalers have the ability to take our technology and integrate them, operate them into a service. Dell has the ability to take our technology, turn them into a solution that delivers impact to customers. If you look at what has happened, agentic AI has completely, as we were talking about earlier, reinvented computing. We had to do several things together. The first thing of course, we had to build the brain. This is the Grace Blackwell MD Link 72, the Vera Rubin MD Link 72 Giant Large Language models. The second part now is the Vera CPU that we're now in the process of launching. The fact the highest performance CPU in the world. It's designed for agentic AI. And now this will be the harness running the agent itself using the tools.

[Interviewer (Possibly Bloomberg Host)]

The third part, what does harness mean? What's the harness?

[Jensen Huang]

Harness is what puts a harness around the large language model so that it can access memory, access the network, use tools, have local scratch pad memory, working memory access long term Memory. And so that harness basically turns, if you will, the brain into an agent, okay into a digital robot if you will. That can do work. And so now the agent runs on a cpu. We also worked with Dell to create a new type of long term memory for agents. We call it the Dell AI data platform that's built on Nvidia. The networking to scale it out is built on Nvidia. So the agent, the brain, the long term memory, all of the networking necessary to scale it up as well as the agent runtime itself we call Nemo Claw, running in a secure and governed container called open shell. All of that has been put together and now the technologies are the technology parts. What Dell has to do is turn it into solution that people can use. Dell will do for the world's enterprises. What the clouds do for the clouds makes perfect sense.

[Interviewer (Possibly Bloomberg Host)]

What is the Dell story, Michael, around CPU and sort of like general purpose computing in the agent era? We've talked a lot about the AI factory offering the gpu, but actually there's potential for you in more general purpose workloads. The build out is happening either way.

[Michael Dell]

It is and the demand is exceeding the supply there as well as you know. And look, as you move to these agent frameworks inside companies, you use a lot more CPUs.

[Interviewer (Possibly Bloomberg Host)]

Yeah.

[Michael Dell]

And you know that's, that's just the reality of what's, what's happening. And I think, I think that's only gonna increase.

[Jensen Huang]

So instead of humans using tools, it's now agents using tools. And agents, as you were talking about earlier on stage, they' we're going to have, we have a billion people, we'll have hundreds of billions of agents. People use tools every now and then. Agents are going to use tools all the time and agents use tools very quickly. And so we're going to need a lot more CPUs. And those CPUs are connected to GPU brains so that the CPUs know how to think, how to reason, how to plan and how to use those tools. So that's basically how it works.

[Interviewer (Possibly Bloomberg Host)]

Gentlemen, what is the biggest supply constraint or bottleneck for you right now?

[Michael Dell]

Well, certainly, certainly memory is a challenge.

[Interviewer (Possibly Bloomberg Host)]

It is memory.

[Michael Dell]

The advanced node semiconductors are still challenging. It's really, I mean we think about it from the things that we're producing and the semiconductor supply chain is ramping, but the demand is growing faster than the supply.

[Jensen Huang]

In our case, we provide the technology integrated and so the memory comes with our technology. We've been planning our supply chain for a couple, two, three years. With the largest supply chain in the world. Our partners have done a great job securing supply for us. And so all of the pieces go together. The CO ops is lined up with the hbm, which is lined up with the Grace Blackwell and the CPUs and the co ops are the CO ops L, the CO oss. All of it is all lined up. The Silicon Photonics is lined up. Everything is all lined up. It's just that the demand is much greater than the overall capacity of the world.

[Interviewer (Possibly Bloomberg Host)]

So the overall capacity. Jensen, should I put my textbook on? Because if I get my textbook out, it tells me that memory historically is cyclical. It's boom and bust. And so you both kind of have to convince the memory makers of the permanency of this to build the capacity that won't sort of fall away. Is that the right way of looking at it, that this is not a boom and bust cycle, it's just a complete change in the structure of that market?

[Jensen Huang]

Well, Michael and I do this all the time. We spend a lot of time with the supply chain. I mean, if you ask Sanjay Metra over at, over at Micron, they'll tell you. Three years ago during a meeting, I explained the future to them exactly as it's happening right now. And I was really grateful that Micron Nvidia really lined up to line up all of our roadmap. Tony will tell you over at SK that we did the same thing years before. And so it's our job to make sure that the vision of the future of the industry we convey upstream to our supply chain so that they are building for it. We also have to convey it downstream to people who have power generators and land and financing and so on and so forth. And so we have to make sure that the supply chain upstream and downstream are prepared for this future. It is true that the simple logic is this, that we have now reached a level of agentic AI, useful AI, productive AI capability. And the way to think about these agents is kind of like just digital workers. We have hundreds of millions of digital workers in the world. We're going to have billions of AI agents in the world and they're going to be working 24 7. And so just as we give every digital worker a laptop and a small part of the data center, we're going to have to give every agent essentially a computer and a little bit of storage in the data center to use.

[Michael Dell]

Think about it this way, you know, you do individual work, you know, as a person, and you send it on to somebody else and you know, there's interactions. Well now you might have hundreds or thousands of, you know, digital agents working for Ed that I supervise, that you supervise. And that's going to help you be way more productive, get way more things done, expand your creativity. Now it does require a lot more computing and memory and storage and networking and all the things that we're doing together.

[Interviewer (Possibly Bloomberg Host)]

Last one on this, like Jensen outlined the Micron and the SK example three years ago. You gave them the heads up. Do they believe you? Are they sort of acting on that?

[Michael Dell]

They're investing. I mean it's, we're managing through it. But these things are very hard to predict. Right. If you tried to predict, you know, in 2023 what the demand was going to be in 20 and you would have a hard time doing that. So it does take a long time to build these factories. But we've got great relationships with these partners we have for decades that's helping us and they see that we're winning and so they want to work with us even more. And it's really great long term partnership. Even though we'd like more.

[Jensen Huang]

Right now we're in the beginning of the AI build out. This is literally the very beginning of the agentic AI buildout. We're going to be building this out for a decade, maybe more. Because after this, this digital agents will be physical agents.

[Michael Dell]

Then we go to the physical AI. We haven't even started that. I mean you saw some examples of that, you know, in the keynote. But that is a way bigger market and it will require all sorts of new infrastructure capabilities.

[Jensen Huang]

We're going to, for the very first time, bring it to the world's 90 trillion other industry. And so there's a giant industry ahead of us to build towards now. Meanwhile, the supply chain is more than doubling every year. I mean it's probably quadrupling every year, but we'll still have a hard time keeping up with the build out for at least a decade. My sense, China.

[Interviewer (Possibly Bloomberg Host)]

Jensen, you just returned from China. On Friday on Air Force One, the president said that H200 came up, but that China's position is it wants to support its own industry. Could I just ask what the net outcome was of your trip to China and your understanding of what is not or is allowed with H200 and the customers that you have or do not have in China?

[Jensen Huang]

The President wants America to win everywhere, right? The President wants America to lead the AI revolution. And so H2 hundreds are licensed to sell to China, the Chinese. The Chinese government has to decide how much of their local market do they want to protect, and how much of their local market do they want to expand with more AI Capacity. Capacity. My sense is that the demand in China is so incredible, just like it is here. Agentic AI is also making enormous progress there. My sense is that over time, the market will open. President Xi was very clear that he wants China to be an even wider open market. Premier Li Chang was very straightforward and explained, very eloquent that China will be in an open market. So I'm looking forward to trying to be in a more open market.

[Interviewer (Possibly Bloomberg Host)]

To clarify, Jesse, you were able to meet with those officials directly to discuss whether or not you can sell to those Chinese tech companies?

[Jensen Huang]

I didn't discuss directly with them about H200. I was there to represent the United States, and I was honored to do so. I was there to support President Trump and really glad to do so, but that was really the focus of my trip. President Trump had some conversations with the leaders, and I'm looking forward to what they decide.

[Interviewer (Possibly Bloomberg Host)]

Michael, you did not go to China, but I think what's interesting is you are a member of the President's Council of Advisors for Science and Technology, as is Jensen. Your net conclusion on whether or not China will become open to American technology companies to do business there?

[Michael Dell]

You know, we have a business in China. Obviously we comply with all the restrictions and various controls that are in place. But I hope that there's more economic collaboration between the United States and China that ultimately is what will lead to greater outcomes of prosperity for everyone and, you know, a greater likelihood of, you know, successful relationship between the countries and, you know, around the world.

[Interviewer (Possibly Bloomberg Host)]

The final question on that trip, Jensen, is the sharpest rhetoric was probably on Taiwan. We've talked about the supply chain, but what did you take from those comments from President Xi on the issue of Taiwan? Of course, from a manufacturing capacity standpoint, TSMC is a critical partner. You and I have discussed it in the past, but at this moment in time, how top of mind is it for you the security of supply from Taiwan?

[Jensen Huang]

None of us were involved in any of those conversations except for President Trump. With respect to Taiwan, obviously, Taiwan is still epicenter of the world's technology, manufacturing and technology development. The supply chain is rich in Taiwan. We're also, of course, re industrializing the United States, bringing manufacturing back to United States. We're doing so. So at a time when demand for AI and this beginning of this new computer revolution is happening. And so demand is extraordinary. So as a result, we're building more factories here in the United States. Chip factories, packaging, computer factories, AI factories, of course. So we're building factories of all kinds here. They're also ramping up capacity. And the reason for that is because the demand is just so great across the board.

[Michael Dell]

Board.

[Jensen Huang]

I think that, I think the answer is, is that we want to have, it is possible to have supply chain diversity and resilience and we, everybody should be seeking to improve that. It is also very true that Taiwan will continue to be one of the epicenters of the world's technology hub.

[Interviewer (Possibly Bloomberg Host)]

Michael, I grew up using a Dell computer. You know that we discussed it in the past. Desktop, laptop. You and I never talk about, about computers in that context. We're always talking about supercomputers accelerating computing, both of you.

[Michael Dell]

And I think you should upgrade. I mean, now we have the new XPS 14 or 16. That would be my choice for you.

[Jensen Huang]

So what is the story?

[Michael Dell]

These are the best notebooks we've ever

[Interviewer (Possibly Bloomberg Host)]

had about AI PC. But we're going to get Jensen's take to finish. But what is the role of the PC in this agentic age? Like I'm using a computer at my desk to do work.

[Michael Dell]

Yeah, well, look, I mean it's still the device that is the center of productivity for knowledge work and it is right there in front of everyone. And you know, we have a great business there. And those devices are evolving too. You saw on stage how we're, you know, embedding the ability to run the small models and local models inside your PC. And you know, what's happening is customers are wanting more powerful PCs because they want to be able to do all this great hybrid AI. And so it's a great business. It's still very much alive. And it also gives us incredible scale and strength in our supply chain, which helps us secure all the needed ingredients that we need.

[Interviewer (Possibly Bloomberg Host)]

So you spent 31 years working on the servers design together, accelerated computing. That's the scale we're talking about. Let me just be really.

[Michael Dell]

Well, we started with the PC, but

[Interviewer (Possibly Bloomberg Host)]

why don't you just team up?

[Jensen Huang]

I was, I was trying to sell him a gaming gpu.

[Interviewer (Possibly Bloomberg Host)]

So what's going to happen between the two of you? A PC with a powerful GPU inside it. Why doesn't that happen?

[Michael Dell]

Yeah.

[Interviewer (Possibly Bloomberg Host)]

And what's the plan going forward for that?

[Jensen Huang]

Well, we can't tell you the plan right now.

[Interviewer (Possibly Bloomberg Host)]

Tell me very, very soon.

[Jensen Huang]

We like to tell you there's, there's a. Well, let's.

[Interviewer (Possibly Bloomberg Host)]

You're interested in.

[Jensen Huang]

Think about the arc. Think about the arc. I'm interested in computing, no doubt. Think about the arc of computer. When Michael and I came into the industry, it was kind of at the tail end of mainframes. Not that it was a tail end of mainframes, because mainframes go away. It was tail end of its growth and it was the beginning of personal computers. We're now seeing the beginning of AI in the cloud and that's going to continue to grow. But we're also going to see personal AI instead of personal computers. Want personal AI. So the question is, and the reason for that is just we were talking about earlier, AI needs to be where the context is. If all the information that I have is on my laptop and I need help, I need AI to help me do work on my laptop, then I need the AI to run kind of locally. And if I have, if I have a factory, then I need agents to run in the factory. If I have a hospital, I need agents to run the hospital. That's what the operating room.

[Michael Dell]

In the operating room, it can't, can't, can't be running somewhere else. Right.

[Jensen Huang]

Because that's where the context is, that's where the action is.

[Michael Dell]

Yeah. If you've got an autonomous vehicle, right. The AI has to be running the car inside the vehicle. And so this idea of distributed intelligence and unmetered intelligence. Right. Where you can generate as many tokens as you want ED on your new XPS 16, you just have to get Bloomberg to get you one. Sure we can.

[Interviewer (Possibly Bloomberg Host)]

And on that note, Michael dell, chairman and CEO of Dell Technologies Jensen Wong, CEO of Nvidia live in Las Vegas. Once again, Dell Technologies World 2026 preparing

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