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

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Bloomberg Tech 22 min 5 speakers 4 chapters transcribed 8 days ago
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James Reed 0:00
Building a successful business is hard. Building one that lasts is even harder. The jobs market is tough. Industries are evolving. AI is advancing. How do you adapt and stay ahead? I'm James Reid, chairman and CEO of Reid and host of the All About Business podcast. Every Monday, I sit down with founders, CEOs, and entrepreneurs who've built extraordinary businesses, the people who get things done. I asked them about the decisions that mattered, the risks they took, the mistakes they made, and what they'd tell you to do differently. Whether you're building a business, leading a team, or simply fascinated by how successful people think, you'll hear honest conversations about the good, the bad, and the ugly of building something that lasts.
James Reed 0:45
If you want top insights and actionable advice to apply to your career or business venture, listen to James Reid All About Business. Listen on Apple, Spotify, YouTube, or wherever you get your podcasts. See you next time. Bloomberg Audio Studios.
Ed Ludlow 1:06
Podcasts. Radio. News. Gentlemen, good morning. Hello. Michael, in the quarter gone, 1,000 new clients for AI Server, for AI Factory. That'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 1:31
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 1,000 GPUs. 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 see the improvement in all the models, and now we have the agenda 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 we have an enormous opportunity.
Ed Ludlow 2:22
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 part of this cycle?
Jensen Huang 2:46
Intelligence has to be performed, produced at the point of 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 Lilly, 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 Azure, proprietary data, and all of the skills associated with your companies. And so now we have agents that are here, AIs that can do work. ChatGPT was fantastic, a launch generative AI. But it just made
Ed Ludlow 3:34
content, that was
Jensen Huang 3:34
it. 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
Ed Ludlow 3:45
AI. 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 1,000 new clients with the GPUs to build their own on-prem local AI factory?
Michael Dell 4:02
Well, the supply chain that Jensen has built and we've 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 being added and customers are figuring out how they start to scale these systems up. 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's 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 and outcomes.

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