Chairman & Chief Executive Officer, Dell Technologies
Dell Technologies World 2026 Keynote | May 18–21 | Las Vegas
Jensen Huang joined Dell CEO Michael Dell onstage to unveil the next-generation Dell AI Factory, powered by NVIDIA. The spotlight was on scaling AI factories and disaggregated inference using Dell and NVIDIA networking. Jensen shares his vision for the future of computing at #DellTechWorld. From AI factories and accelerated infrastructure to the next evolution of intelligent systems, the architecture of computing itself is being reinvented in real time. Michael Dell emphasized a pragmatic approach to scaling AI, balancing ambition with power availability and data quality.
About Michael Dell
Michael Dell discussed Dell Technologies' financial performance and AI strategy at several events. During a March 2026 conversation with Travis Kalanick, he said the company expected approximately $140 billion in annual revenue. At a June 2026 Citi event, Dell described demand for AI infrastructure as exceeding supply, noting that the biggest challenge was keeping up with demand. At Dell Technologies World in May 2026, he appeared onstage with Nvidia CEO Jensen Huang to unveil a new generation of Dell AI Factory products, and he stated that the company had been leading the market in AI infrastructure since first announcing the Dell AI Factory two and a half years prior. In July 2026, Dell announced at the White House that the Michael & Susan Dell Foundation would contribute $6.25 billion to the "Invest America Act," a program that seeds investment accounts for American children. Speaking at the White House alongside President Donald Trump, Dell said the contribution would provide $250 to 25 million eligible children born between 2016 and 2024. He framed the donation as a public-private partnership intended to give older children similar investment benefits to those the federal program provides to newborns.
Transcript (39 segments)
M
Michael Dell0:00
Please join me in welcoming a great partner and friend, a true leader and visionary of the AI age, Nvidia's Jensen Huang.
J
Jensen Huang0:17
Nice to see you.
M
Michael Dell0:19
Jensen, it's great to have you back here at Dell Tech World. You know, we've been talking about agents and...
J
Jensen Huang0:31
I'm here every year selling Dell.
M
Michael Dell0:33
We appreciate it, man. We appreciate it. So, give us your perspective on where we are in this agentic, recursive self-improvement world. It looks like every time we wake up there's been some leap in the model and the capabilities and it doesn't seem to be plateauing. Give us your perspective from the front lines.
J
Jensen Huang1:01
Well, two years ago when I was here we had just started with the generative AI journey. Generative AI can of course generate content, but remember it can also generate content to think with, generate thoughts, which led us to reasoning, which led us to planning, which led us to agentic systems. So now we have for the very first time useful AI, which is the reason why your demand, my demand is going parabolic, utterly parabolic.
M
Michael Dell1:31
Because agentic systems, the AI has to understand, has to reason, has to think, it has to plan, use tools, look at the results of the tools, think about it some more, come up with maybe an improved plan, and so it iterates until it can get the job done using a whole bunch of different tools. Well, the amount of computation necessary because it's running autonomously for so long instead of just responding to a query, the amount of computation has grown 100x, a thousandx, and depending on the work that you're doing, sometimes we'll kick off a software programming job, it doesn't finish for a week. Of course, it did in a week what would have taken a whole team a month to do. And so big deal in productivity but gigantic leap in computation requirement. So let's just say that computing went up by a hundred or a thousand times. Meanwhile, because it's so useful, the number of people using agents is now all over the place. Every enterprise, all our company, your company, everybody's using agents all over the place to do software development, devops, all of our CI/CD work, QA testing. The amount of software work that we do in the company now supported by agents is incredible. One engineer, a really good engineer today is working with an agent, but a really great engineer in the future is going to be orchestrating a whole bunch of agents who are going to be orchestrating a whole bunch of sub-agents to do work. Well, between the amount of computation and the amount of demand going up, the product of that, that's our demand. And so we've now arrived at the era of useful AI which is really just really exciting for all of us because until now it's been novel, interesting, incredibly exciting but really at the enterprise level many of you have said before last couple years the impact of AI, the potential is incredible but the actual use was minimal. Now it's taken off.
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Jensen Huang3:40
And we're starting to see now, you know, we didn't a couple years ago when we started this, we didn't have 5,000 enterprise customers. Now we have, you know, the biggest companies in the world like you saw with, you know, Lilly and Samsung and Honeywell, they're piling into this in a big way, but really that's just starting, right? And to reimagine their workflows to be able to understand the trajectory of how this is improving and how it can affect ultimately what their companies can become, that really is just an idea. I mean, we haven't seen that in any scale. I mean there are some companies that are doing it but it's a very small number today.
M
Michael Dell4:22
No doubt. And well, you're experiencing and I'm experiencing, our company has always gone fast, but it's gone... it's really going fast now. And just the amount of content that's being created internally, the progress that's being made, you know, people said that AI is going to make us more productive. There's no question about that. What took months now takes weeks. What took weeks now takes days. And what takes days now takes hours. And things that would take an hour, you and I pretty much expect it instantly now. And so what has really changed is that our ambition has changed. There's no question my ambition has changed. You know, I wanted to be somebody to do something, make a contribution, but that was the old Jensen, you know, the new Jensen, I got big ambitions now.
J
Jensen Huang5:13
You got to, you know, we all have to ask ourselves the question, how high is up? Well, it's pretty high, right?
M
Michael Dell5:18
Yeah. So, we've got all these great products, you know, we're embedding AI in everything and enabling this distributed inference and intelligence. This is the best room I've ever been in.
J
Jensen Huang5:31
Which is your favorite?
M
Michael Dell5:34
Well, it's hard to... I love all my kids.
J
Jensen Huang5:40
How about the one on the end? You got to love that one most, though.
M
Michael Dell5:45
Well, this is incredible. And so Michael and I have been working on a whole new line of computers to run agents. The way to think about agents is this. There's a large language model. It's gigantic. It's the most computationally intensive piece of software the world's ever known. And that would run in that system towards the end, that NVL72, the world's largest scale-up single domain computer. Okay, it's just one giant system operating as one computer. And that system has a large language model in it. It could, you know, one terabyte, 10 terabyte of parameters, no problem. And so that's one giant system. That's the brain. However, an agent starts with the harness. That harness has to sit in a secure and governed container. We call it a sandbox. And so the NVIDIA open-source sandbox is the security system that just about everybody in the industry is using. Inside we have a reference harness we call NeMo Cloud.
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Jensen Huang6:51
NeMo Cloud runs on a CPU and that CPU could be a CPU in there, a CPU in here, a CPU in there. It can also run Neotron or any of the models, open-source models that you would create your own specialized agents for your own companies trained for your own special domain of data or skills and that would run locally if you like and then the large language models could run in the cloud and so you have this hybrid AI. The thing that's really cool is that Nvidia's architecture is the only architecture in the world that runs every frontier AI model. And lately, recently in the last year or so, Anthropic has been really leaning into the NVIDIA architecture. So now we support every single frontier model. We support every open-source model and we support them in the cloud or locally. As you can see our computer is the first one in the world that runs in every cloud but it also runs locally. And if you have your models that you're quite sensitive about, our systems are built with confidential computing. This way you don't have to trust the operator that's operating the data center with your secure data. And so all of these architectures now run at every cloud, runs every model, runs hybrid AI, and runs agentic systems. And so you have your harness, it runs on a CPU. The CPU also uses tools and the CPU we created, I think you mentioned it earlier, called Vera.
M
Michael Dell8:23
Yes.
J
Jensen Huang8:24
The CPUs of the past were built for hyperscale clouds and so you're renting the CPU cores and so you're optimizing for as many CPU cores as possible. Well, agents in this new world, you're generating tokens. You're not renting CPU cores anymore. You're generating tokens and marketing that, that's the economics of this AI era. And so the AI wants to run its work and generate as many tokens as possible as quickly as possible because that's the output of the intelligence. Vera CPU has the highest single threaded performance of any CPU in the world. It has three times the memory bandwidth of the fastest CPU in the world. And as a result, Starburst, DuckDB, all these databases run incredibly fast because the agents are pounding on the databases. So the CPUs better be super fast. The agents want to get through its work. So the CPU has got to be super fast. Otherwise, that big machine down there is waiting for the agent to get its work done. And so now you have the harness running on the systems here, local AI models running on the systems here, and giant models running in the cloud or in your own data center on that big machine down there.
M
Michael Dell9:40
Well, let's go check it out. But as we do that, you know, what's exciting is to think about, in the past as humans, we would do work, right, and we would pass it on to the next human. But now we have all these agents that we're managing, right? And an individual can manage, I don't know, a thousand, a hundred agents and so the possibilities that that unlocks in terms of human creativity and what humans are going to be able to do and I love this idea of the unmetered intelligence, right, where you've got the power in your own PC, in your own data center and you can use it with your own data, that's sort of super cool. That's I think...
J
Jensen Huang10:25
You don't have to struggle with token anxiety.
M
Michael Dell10:28
Yeah. You know, you tell your employees run out of tokens or get that dreaded bill. But Jensen, since you're here, would you do us the honor of autographing this latest...
J
Jensen Huang10:43
All right. Well, we got to climb up here. I'm not as tall as you are.
M
Michael Dell11:01
This is, what's the date today? 18th.
J
Jensen Huang11:04
May 18th.
M
Michael Dell11:05
We're not going to sell this one. This one is...
J
Jensen Huang11:11
You got to sign it, too.
M
Michael Dell11:12
I already signed it.
J
Jensen Huang11:13
You did? Yeah.
M
Michael Dell11:14
Well, you got it right here. Dell, Dell. Here we go. Here we go. Michael's already signed it right here.
J
Jensen Huang11:29
And so this is Michael. This is a hundred times larger than this one, the station, right? Exactly the same architecture. The GB300. GB300 in here. That's a 100 times larger than this one. This is the only computer, deskside computer in the world that can run a terabyte, a one trillion parameter AI model. Okay, so this is incredible.
M
Michael Dell11:56
Would have been unimaginable even a year or two ago.
J
Jensen Huang11:59
I know it. One trillion. I mean this would basically be a cloud just two days ago, you know. And so this is a station and this is 100 times bigger. So, this one. And that's five, six times larger than this one.
M
Michael Dell12:18
And this is one of my favorites. This is the smallest GB10.
J
Jensen Huang12:24
Same architecture as that one is that one. It's incredible, right? One architecture.
M
Michael Dell12:28
Incredible. We really appreciate you being here. We treasure the incredible partnership with Nvidia and all we've been able to do for customers around the world and look forward to...
J
Jensen Huang12:41
And we grew up together practically.
M
Michael Dell12:42
Yes, we did. 31 years we've been doing this.
J
Jensen Huang12:45
Yeah. Thank you guys. Keep up the great work. Thank you everybody.
M
Michael Dell12:51
Thank you Jensen. Bye Dell.