1 00:00:02,440 --> 00:00:07,800 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. I would call it 2 00:00:07,880 --> 00:00:11,120 Speaker 1: all arms of the AI supply chain or market. Gavid 3 00:00:11,160 --> 00:00:15,440 Speaker 1: here and the three CEOs just on stage together moments ago. 4 00:00:15,640 --> 00:00:19,079 Speaker 1: Our host is Michael Dell, CEO and chairman of Dell 5 00:00:19,440 --> 00:00:24,239 Speaker 1: and a company celebrating forty years as well at this event, 6 00:00:24,760 --> 00:00:27,280 Speaker 1: and Video CEO Jensen Wang, it's good to see you. 7 00:00:27,560 --> 00:00:30,920 Speaker 1: And Bill McDermott, chairman and CEO of Service. 8 00:00:30,960 --> 00:00:31,240 Speaker 2: Now. 9 00:00:31,640 --> 00:00:34,159 Speaker 1: I think it's probably sensible to ask, is this the 10 00:00:34,200 --> 00:00:36,800 Speaker 1: first time that the three of you have actually been 11 00:00:36,800 --> 00:00:39,760 Speaker 1: in the same room at the same time. And Michael, 12 00:00:39,840 --> 00:00:42,720 Speaker 1: to you as our host, why the three of you 13 00:00:42,800 --> 00:00:44,240 Speaker 1: in the same room at the same time. 14 00:00:45,840 --> 00:00:48,920 Speaker 3: Well, you know, the technologies world, we love to bring 15 00:00:48,960 --> 00:00:53,160 Speaker 3: our customers and partners together and talk about what's new 16 00:00:53,400 --> 00:00:58,960 Speaker 3: and what's exciting, and you know, this AI opportunity is 17 00:00:59,040 --> 00:01:02,680 Speaker 3: really tremendous and we can never do anything by ourselves. 18 00:01:03,080 --> 00:01:05,119 Speaker 4: But this is a great example. 19 00:01:04,720 --> 00:01:08,440 Speaker 3: Of how you have an ecosystem of companies coming together 20 00:01:09,200 --> 00:01:14,160 Speaker 3: along with all these incredible innovations in GPUs and compute 21 00:01:14,319 --> 00:01:18,759 Speaker 3: storage and networking and all the AI models and software 22 00:01:18,760 --> 00:01:23,720 Speaker 3: companies that are utilizing all this power and it's causing 23 00:01:23,760 --> 00:01:25,920 Speaker 3: a new industrial revolution. 24 00:01:26,520 --> 00:01:28,640 Speaker 1: There are five things that I would like to talk about. 25 00:01:28,720 --> 00:01:30,959 Speaker 1: The first being the relationship between the three of you 26 00:01:31,000 --> 00:01:33,920 Speaker 1: and your companies, how you work together. The second being 27 00:01:34,360 --> 00:01:39,920 Speaker 1: AI infrastructure, how durable. What's happening is AIPC. You know, 28 00:01:39,959 --> 00:01:42,959 Speaker 1: you've been talking about AIPC on social media for some time, 29 00:01:43,760 --> 00:01:47,200 Speaker 1: and officially of course as well US leadership. You know, 30 00:01:47,240 --> 00:01:50,080 Speaker 1: I reflect that I have three American CEOs that around me, 31 00:01:50,480 --> 00:01:53,400 Speaker 1: all pulling towards the same sort of goal. And finally, 32 00:01:53,400 --> 00:01:56,080 Speaker 1: increasingly people ask me to ask you about power and 33 00:01:56,160 --> 00:01:59,720 Speaker 1: energy consumption and whether we should start talking about that. 34 00:02:00,200 --> 00:02:02,360 Speaker 1: But really, gents, and the origin of this, and one 35 00:02:02,360 --> 00:02:04,440 Speaker 1: of the reasons I wanted to have the conversation is GtC. 36 00:02:05,120 --> 00:02:07,960 Speaker 1: I'm paraphrasing, but you said, basically, there is no one 37 00:02:08,040 --> 00:02:12,240 Speaker 1: better end to end systems at scale than Dell. You 38 00:02:12,320 --> 00:02:15,240 Speaker 1: basically said, if you want a server, you phone Michael Dell. 39 00:02:15,680 --> 00:02:19,200 Speaker 1: But why, specifically, how is it that Nvidia interacts with 40 00:02:19,200 --> 00:02:20,600 Speaker 1: that part of Michael's business. 41 00:02:21,000 --> 00:02:21,600 Speaker 5: Well, this is a. 42 00:02:21,560 --> 00:02:26,760 Speaker 6: Really important time where we've re engineered and reinvented every 43 00:02:26,840 --> 00:02:30,720 Speaker 6: layer of computing, from the chip to the operating system 44 00:02:30,760 --> 00:02:33,320 Speaker 6: to the system servers to the way that these data 45 00:02:33,320 --> 00:02:34,400 Speaker 6: centers are put together. 46 00:02:35,120 --> 00:02:37,440 Speaker 5: There's only one company in the world that. 47 00:02:39,040 --> 00:02:41,520 Speaker 6: Can have the ability to build the computing system, the 48 00:02:41,600 --> 00:02:45,480 Speaker 6: storage system, the networking system, all of the software that 49 00:02:45,560 --> 00:02:49,800 Speaker 6: goes along with it, and the path to the world's enterprise. 50 00:02:50,680 --> 00:02:53,360 Speaker 6: We want to bring this generative AI capability to every 51 00:02:53,360 --> 00:02:55,880 Speaker 6: company in the world, and some of them can use 52 00:02:55,880 --> 00:02:58,320 Speaker 6: it in the cloud, but many of the application still 53 00:02:58,560 --> 00:03:01,000 Speaker 6: has to be done on prem and so in order 54 00:03:01,000 --> 00:03:04,480 Speaker 6: for us to bring them into the generative AI revolution, 55 00:03:04,919 --> 00:03:07,360 Speaker 6: we're going to have to go through a partner that 56 00:03:07,480 --> 00:03:11,079 Speaker 6: can help us take this completely new reinvention of a. 57 00:03:11,000 --> 00:03:12,680 Speaker 5: Computer the data center. 58 00:03:12,840 --> 00:03:17,519 Speaker 6: These AI factories can help every customer have a you know. 59 00:03:17,560 --> 00:03:21,320 Speaker 1: Just reimportate Tensen. Yeah, on prem is back just really quick? 60 00:03:21,440 --> 00:03:21,880 Speaker 1: Yes or no? 61 00:03:22,680 --> 00:03:26,200 Speaker 5: On prem never left? Okay, but on prem never left. 62 00:03:26,200 --> 00:03:29,400 Speaker 5: But on prem is on prem is you know, on 63 00:03:29,520 --> 00:03:30,519 Speaker 5: prem is cool again? 64 00:03:31,200 --> 00:03:32,960 Speaker 1: On prem is cool again. Save that thought. 65 00:03:33,160 --> 00:03:33,400 Speaker 5: Bill. 66 00:03:33,760 --> 00:03:36,360 Speaker 1: You've been a software CEO for quite a long time. 67 00:03:36,800 --> 00:03:37,520 Speaker 5: You know, I knew you. 68 00:03:37,480 --> 00:03:40,760 Speaker 1: At SAP now at Service Now have you ever had 69 00:03:40,800 --> 00:03:44,360 Speaker 1: to have such a focus on the minut share of 70 00:03:44,400 --> 00:03:48,720 Speaker 1: a semiconductor company, a server company. Have you ever had 71 00:03:48,760 --> 00:03:51,040 Speaker 1: to worry as much about the OEM and the chip 72 00:03:51,080 --> 00:03:53,840 Speaker 1: maker that underpin what you're trying to do well. 73 00:03:53,880 --> 00:03:57,040 Speaker 2: I think Michael Dell and Jensen Wong are at the 74 00:03:57,080 --> 00:04:01,880 Speaker 2: epicenter of the AI revolution. This is enabling Service now 75 00:04:02,480 --> 00:04:05,240 Speaker 2: to be what I dreamt it would be, the defining 76 00:04:05,320 --> 00:04:08,840 Speaker 2: enterprise software company the twenty first century. We run our 77 00:04:08,880 --> 00:04:12,760 Speaker 2: whole cloud on Dell Technologies, and that's a big deal 78 00:04:13,120 --> 00:04:17,279 Speaker 2: because we're talking about four billion workflows and four trillion 79 00:04:17,760 --> 00:04:21,720 Speaker 2: digital transactions on that platform, running a million business processes 80 00:04:21,760 --> 00:04:26,360 Speaker 2: around the world. With Jensen, we were the first enterprise 81 00:04:26,400 --> 00:04:30,960 Speaker 2: company to recognize the greatness of Nvidia, and we began 82 00:04:31,040 --> 00:04:34,359 Speaker 2: building large language models with Jensen five years ago. We 83 00:04:34,400 --> 00:04:38,360 Speaker 2: have completely standardized on Nvidia in our company, the whole stack, 84 00:04:38,920 --> 00:04:41,279 Speaker 2: and we're taking that to market with both of these 85 00:04:41,320 --> 00:04:44,080 Speaker 2: men for a couple of reasons. One, they're great human 86 00:04:44,120 --> 00:04:47,159 Speaker 2: beings and great leaders, and it's an honor to be 87 00:04:47,279 --> 00:04:49,400 Speaker 2: here with them today and to team up with them. 88 00:04:49,760 --> 00:04:53,200 Speaker 2: And two, we keep our promises. And I think customers 89 00:04:53,200 --> 00:04:53,719 Speaker 2: today when. 90 00:04:53,560 --> 00:04:56,160 Speaker 1: They're betting the we were doing business with them when frankly, 91 00:04:56,240 --> 00:04:57,920 Speaker 1: all of this wasn't sexy totally. 92 00:04:57,920 --> 00:05:01,200 Speaker 2: Now It is totally Actually, that's one hundred percent true, 93 00:05:01,440 --> 00:05:04,679 Speaker 2: and we'll always be doing business with them because trust 94 00:05:04,760 --> 00:05:07,400 Speaker 2: is the ultimate human currency, and we trust them with 95 00:05:07,520 --> 00:05:09,000 Speaker 2: our lives. 96 00:05:09,560 --> 00:05:11,719 Speaker 1: This is all very nice, and I'm very grateful and 97 00:05:11,760 --> 00:05:13,560 Speaker 1: honored almost to be here with the three of you. 98 00:05:14,240 --> 00:05:18,760 Speaker 1: That there's a contradiction though that markets are often built 99 00:05:18,800 --> 00:05:23,360 Speaker 1: on choice. Choice, Foster's competition. Competition is the mother of innovation. 100 00:05:23,839 --> 00:05:26,640 Speaker 1: So the saying goes I had the Core Weave CEO 101 00:05:26,680 --> 00:05:28,880 Speaker 1: on my show on Friday, and he was briefly honest 102 00:05:28,880 --> 00:05:33,200 Speaker 1: about it. They look at other silicon, they benchmark, they 103 00:05:33,200 --> 00:05:36,080 Speaker 1: look at how it might work within their system. But 104 00:05:36,120 --> 00:05:38,640 Speaker 1: the reality that he painted to me, Michael is that 105 00:05:38,680 --> 00:05:42,040 Speaker 1: their clients and customers demand in video, so they give 106 00:05:42,080 --> 00:05:44,560 Speaker 1: them video. Would you say that Dell is in the 107 00:05:44,600 --> 00:05:45,880 Speaker 1: same situation. 108 00:05:48,120 --> 00:05:50,839 Speaker 4: Yeah, And we do work a lot of Coral. 109 00:05:50,839 --> 00:05:54,919 Speaker 7: We've so you know, we know about their use case. 110 00:05:55,120 --> 00:05:59,880 Speaker 3: And look, I think the reason that Bill's partner call 111 00:06:00,279 --> 00:06:04,200 Speaker 3: with Nvidia and we and really you know, in videos 112 00:06:04,240 --> 00:06:07,760 Speaker 3: in a leadership position is because they've out engineered other 113 00:06:08,360 --> 00:06:13,640 Speaker 3: folks and they've built a set of capabilities, including software 114 00:06:14,279 --> 00:06:19,000 Speaker 3: over many decades that has prepared for this opportunity. 115 00:06:19,400 --> 00:06:23,599 Speaker 4: But you know you talked about on prem The other. 116 00:06:23,640 --> 00:06:26,560 Speaker 3: Aspect of this is the edge, right, the physical world, 117 00:06:26,960 --> 00:06:31,080 Speaker 3: the PC, the factory floor, you know, all the retail stores. 118 00:06:32,080 --> 00:06:35,719 Speaker 3: AI is going to be everywhere, and you know, having 119 00:06:35,760 --> 00:06:41,760 Speaker 3: that sort of entire ecosystem of capabilities, that's ultimately what's 120 00:06:41,800 --> 00:06:42,719 Speaker 3: going to drive success. 121 00:06:42,760 --> 00:06:45,279 Speaker 4: But you know, the video is in a great position. 122 00:06:45,360 --> 00:06:49,760 Speaker 3: Jensen has done a fabulous job bringing the world the 123 00:06:49,760 --> 00:06:53,480 Speaker 3: most innovative accelerated computing solutions. 124 00:06:53,920 --> 00:06:56,960 Speaker 1: Could you define for US AI factory what is an 125 00:06:56,960 --> 00:06:57,719 Speaker 1: AI factory? 126 00:06:58,680 --> 00:06:58,960 Speaker 4: Sure? 127 00:06:59,000 --> 00:07:03,720 Speaker 3: So an AI factor is really a supply chain that 128 00:07:03,760 --> 00:07:07,120 Speaker 3: creates intelligence. So if you think about a traditional factory, right, 129 00:07:07,160 --> 00:07:09,240 Speaker 3: you've got all these ingredients that we know a lot. 130 00:07:09,200 --> 00:07:11,120 Speaker 7: About supply chains. It's kind of what we do. 131 00:07:11,640 --> 00:07:16,160 Speaker 3: But think about it as a supply chain to create 132 00:07:16,320 --> 00:07:18,200 Speaker 3: intelligence inside your company. 133 00:07:18,600 --> 00:07:21,160 Speaker 7: And to do that, it all starts with data. 134 00:07:21,280 --> 00:07:21,440 Speaker 5: Right. 135 00:07:21,480 --> 00:07:23,600 Speaker 4: If you have no data, you have no AI. 136 00:07:23,880 --> 00:07:24,120 Speaker 5: Right. 137 00:07:24,480 --> 00:07:27,120 Speaker 4: If you have bad data, you have bad AI. So 138 00:07:27,160 --> 00:07:28,600 Speaker 4: you've got to organize your data. 139 00:07:28,680 --> 00:07:31,400 Speaker 3: It's something we know a lot about because data equals storage, 140 00:07:31,440 --> 00:07:33,920 Speaker 3: and we store more data than anybody in the world. 141 00:07:34,120 --> 00:07:37,160 Speaker 3: So you start with the data and then you know 142 00:07:37,440 --> 00:07:44,880 Speaker 3: you get into the ecosystem of all the software and 143 00:07:45,080 --> 00:07:48,440 Speaker 3: the models that you're hearing about, the small and large models, 144 00:07:48,480 --> 00:07:53,680 Speaker 3: the retrieval augmented generation. Of course, it's not just GPUs, 145 00:07:53,760 --> 00:07:57,800 Speaker 3: it's also the networking and storage and the memory that 146 00:07:58,160 --> 00:07:58,800 Speaker 3: come together. 147 00:07:58,960 --> 00:08:01,600 Speaker 1: I don't know if and knows this, but you talk 148 00:08:01,640 --> 00:08:03,480 Speaker 1: a lot about H one hundred is not just a 149 00:08:03,560 --> 00:08:07,200 Speaker 1: chip you hold in your hand. In reality, it's DGX, right, HGX. 150 00:08:07,200 --> 00:08:09,560 Speaker 1: Your staff are probably very nervous over your shoulder, but 151 00:08:09,640 --> 00:08:13,160 Speaker 1: they've let me play with let's say DGX, do a 152 00:08:13,160 --> 00:08:15,119 Speaker 1: deadlift with it to illustrate the points. 153 00:08:15,200 --> 00:08:17,080 Speaker 5: Eighty pounds, thirty eighty pounds. 154 00:08:17,120 --> 00:08:20,680 Speaker 1: Thank you. But that's the scale of what we're talking about. Still, 155 00:08:21,000 --> 00:08:24,440 Speaker 1: the AI market that I see is you selling H 156 00:08:24,480 --> 00:08:27,880 Speaker 1: one hundred in DJX form to the hyperscalers. And I'm 157 00:08:27,880 --> 00:08:31,000 Speaker 1: not yet seeing the AI factory that's going to the 158 00:08:31,120 --> 00:08:35,199 Speaker 1: SME or the enterprise customer. When does that really happen? 159 00:08:35,320 --> 00:08:38,280 Speaker 6: And why today's announcement is such a big deal an 160 00:08:38,320 --> 00:08:39,040 Speaker 6: lots here. 161 00:08:39,240 --> 00:08:40,840 Speaker 5: I'm here to announce. 162 00:08:40,400 --> 00:08:45,920 Speaker 6: This Dell AI factory with Nvidia going to market starting today. 163 00:08:46,640 --> 00:08:48,800 Speaker 5: In order to do this, just think about what an AI. 164 00:08:48,600 --> 00:08:53,400 Speaker 6: Factory is it has CPUs and GPUs, it has networking switches, 165 00:08:54,240 --> 00:08:59,840 Speaker 6: incredible amounts of software in systems connected to storage, and 166 00:09:00,360 --> 00:09:03,880 Speaker 6: the miles of the miles of cables alone necessary to 167 00:09:03,880 --> 00:09:06,720 Speaker 6: build up one of these things. Well, we you know, 168 00:09:07,080 --> 00:09:10,920 Speaker 6: Michael turned it into an easy bit and so that 169 00:09:11,280 --> 00:09:15,000 Speaker 6: just just just as Dell did early days with PCs, 170 00:09:15,120 --> 00:09:18,080 Speaker 6: they're now doing this with AI factories so that any 171 00:09:18,120 --> 00:09:21,840 Speaker 6: company can come to Dell and with a specification or 172 00:09:21,880 --> 00:09:25,400 Speaker 6: the requirement, they could get into the business of producing 173 00:09:26,040 --> 00:09:29,360 Speaker 6: And this is the big idea of producing intelligence at scale. 174 00:09:29,679 --> 00:09:30,880 Speaker 4: Buildings at buyers. 175 00:09:31,080 --> 00:09:33,720 Speaker 3: It's actually already happening. And you know, companies like Service 176 00:09:33,800 --> 00:09:35,000 Speaker 3: now had the. 177 00:09:34,960 --> 00:09:37,640 Speaker 4: Engineering resources to sort of build their. 178 00:09:37,559 --> 00:09:39,720 Speaker 7: Own with our help and capability. 179 00:09:40,280 --> 00:09:44,400 Speaker 3: But now we're already doing this with hundreds of enterprise companies. 180 00:09:44,520 --> 00:09:47,600 Speaker 3: And there's also some services that go into this because 181 00:09:47,840 --> 00:09:50,440 Speaker 3: it's a new thing, it's a new architecture and you 182 00:09:50,480 --> 00:09:55,239 Speaker 3: saw us announce new capabilities today around storage and networking. 183 00:09:55,679 --> 00:09:56,400 Speaker 7: Again, it's this. 184 00:09:56,400 --> 00:09:59,560 Speaker 3: Whole solution and we've created the easy buttons so the 185 00:09:59,679 --> 00:10:03,120 Speaker 3: enterprise just can kind of quickly implement and deploy these tools. 186 00:10:03,200 --> 00:10:04,840 Speaker 1: You can think about it through the lens of your 187 00:10:04,920 --> 00:10:09,800 Speaker 1: customers that are themselves enterprise companies, probably of smaller size. 188 00:10:10,040 --> 00:10:12,040 Speaker 1: Do you think that they are ready for this AI 189 00:10:12,200 --> 00:10:14,520 Speaker 1: factory investment that they're going to have to make. 190 00:10:14,520 --> 00:10:15,760 Speaker 5: Is I know they are? 191 00:10:16,080 --> 00:10:19,000 Speaker 2: You know, last week, for example, I had the pleasure 192 00:10:19,040 --> 00:10:22,200 Speaker 2: of being with Microsoft and Satia and what they're doing 193 00:10:22,240 --> 00:10:25,800 Speaker 2: on Copilot as an example, is something that every CEO 194 00:10:25,920 --> 00:10:27,600 Speaker 2: is well aware of what. 195 00:10:27,480 --> 00:10:29,600 Speaker 5: They're being and small, big and small. 196 00:10:29,800 --> 00:10:35,400 Speaker 2: And we build our own domain specific models on the 197 00:10:35,440 --> 00:10:40,040 Speaker 2: service now platform. Why does that matter because we're really 198 00:10:40,080 --> 00:10:43,920 Speaker 2: focused on experiences. There's an eleven trillion dollar market in 199 00:10:44,000 --> 00:10:46,840 Speaker 2: terms of GDP impact over the next three years according 200 00:10:46,840 --> 00:10:49,600 Speaker 2: to IDC. That is how we're going to help the 201 00:10:49,679 --> 00:10:54,400 Speaker 2: world economy improve. Companies like Dell Technologies and Nvidia. 202 00:10:54,120 --> 00:10:54,839 Speaker 5: And service Now. 203 00:10:54,960 --> 00:10:58,080 Speaker 2: Yes, but I also acknowledge your point. We have to 204 00:10:58,080 --> 00:11:01,440 Speaker 2: be open and for example, we have great partnership with Microsoft. 205 00:11:01,440 --> 00:11:03,000 Speaker 2: They're not in the room right now, but they're a 206 00:11:03,000 --> 00:11:04,800 Speaker 2: great partner. You talk about them when they're not in 207 00:11:04,840 --> 00:11:07,440 Speaker 2: a room, because that's very important to our customers. To 208 00:11:07,440 --> 00:11:10,320 Speaker 2: have the Copilot and to have the Now assist we're 209 00:11:10,360 --> 00:11:14,439 Speaker 2: reinventing industries with Jensen telecommunications was our first. You think 210 00:11:14,480 --> 00:11:17,400 Speaker 2: about the networking path of a telco company, think about 211 00:11:17,440 --> 00:11:20,800 Speaker 2: service management, think about Dell now would now assist and 212 00:11:20,840 --> 00:11:24,600 Speaker 2: what we can do to combine that with Michael's incredible technologies. 213 00:11:24,960 --> 00:11:28,560 Speaker 2: Every company in the world, and every workflow for every 214 00:11:28,559 --> 00:11:31,720 Speaker 2: company in every industry will be re engineered in twenty 215 00:11:31,800 --> 00:11:32,360 Speaker 2: four months. 216 00:11:33,800 --> 00:11:34,800 Speaker 1: This is a tsunami. 217 00:11:35,200 --> 00:11:38,200 Speaker 2: This is a tsunami of change, and only the smart 218 00:11:38,200 --> 00:11:40,240 Speaker 2: ones are going to recognize. I have to plant the 219 00:11:40,240 --> 00:11:43,040 Speaker 2: flag now. Whether the story is complete or not, it's 220 00:11:43,080 --> 00:11:45,200 Speaker 2: not the issue. The train has moved out. It's on 221 00:11:45,280 --> 00:11:45,600 Speaker 2: the fly. 222 00:11:46,040 --> 00:11:48,560 Speaker 1: So you made this analogy. I think you're channelling Jensen. 223 00:11:48,559 --> 00:11:50,560 Speaker 1: But the idea is that when you stand at the platform, 224 00:11:50,600 --> 00:11:52,800 Speaker 1: the train goes by fast. If you're on the train, 225 00:11:53,200 --> 00:11:57,520 Speaker 1: it doesn't feel fast. I want to extrapolate out there's 226 00:11:57,559 --> 00:11:59,400 Speaker 1: something that Michael Dell is very good at, if you 227 00:11:59,400 --> 00:12:02,679 Speaker 1: don't mind me saying, Michael, which is selling to businesses 228 00:12:02,760 --> 00:12:06,199 Speaker 1: the public sector, probably in places Jensen that you don't 229 00:12:06,280 --> 00:12:11,520 Speaker 1: have experience in. Probably given the mainstave of businesses, the hyperscalers, 230 00:12:12,160 --> 00:12:15,280 Speaker 1: do you believe that Michael Dell will convince those businesses 231 00:12:15,320 --> 00:12:16,839 Speaker 1: to get on the train, no. 232 00:12:16,920 --> 00:12:20,640 Speaker 5: Question about it, and do you need him to. Absolutely. 233 00:12:21,320 --> 00:12:24,560 Speaker 6: We've been partnering with Michael for coming up on three 234 00:12:24,600 --> 00:12:29,200 Speaker 6: decades to reach the world's markets. In the old days, 235 00:12:29,880 --> 00:12:31,520 Speaker 6: one of the first things that we worked on was 236 00:12:32,880 --> 00:12:37,920 Speaker 6: PCs for gamers, and then PCs for industrial designers and 237 00:12:38,040 --> 00:12:39,120 Speaker 6: car designers and so on. 238 00:12:39,120 --> 00:12:41,280 Speaker 5: And so forth. We're able to reach. 239 00:12:41,080 --> 00:12:44,480 Speaker 6: The world's enterprise through our partnership with Michael and partnership 240 00:12:44,520 --> 00:12:48,160 Speaker 6: with Dell. And the thing that's really really extraordinary this 241 00:12:48,280 --> 00:12:51,600 Speaker 6: time is that it's not about just delivering a box. 242 00:12:51,720 --> 00:12:56,239 Speaker 6: It's about delivering an entire infrastructure. And that entire infrastructure 243 00:12:56,559 --> 00:13:01,080 Speaker 6: is insanely complex. The last thirty years, both of our 244 00:13:01,120 --> 00:13:05,320 Speaker 6: companies have changed a lot, and this this this he 245 00:13:05,400 --> 00:13:07,800 Speaker 6: said it early that everything that we've done is been 246 00:13:07,880 --> 00:13:11,200 Speaker 6: the perfect preparation for today. If you want to help, 247 00:13:11,360 --> 00:13:13,280 Speaker 6: if you want somebody to help you build an entire 248 00:13:13,320 --> 00:13:16,160 Speaker 6: AI infrastructure, call. 249 00:13:16,120 --> 00:13:17,760 Speaker 5: Dell and they'll come in. 250 00:13:18,080 --> 00:13:20,040 Speaker 6: Not only do they have all the solutions and all 251 00:13:20,040 --> 00:13:22,880 Speaker 6: the technologies, but they'll also have the professional services to 252 00:13:22,920 --> 00:13:25,280 Speaker 6: help you stand it up and put it to work. 253 00:13:25,440 --> 00:13:28,800 Speaker 6: And so we're working with Michael and Dell across everything 254 00:13:28,840 --> 00:13:31,960 Speaker 6: from from CPUs, the GPUs, then they're working the software 255 00:13:32,160 --> 00:13:35,040 Speaker 6: across the entire stack. Now, one of the things that 256 00:13:35,040 --> 00:13:38,480 Speaker 6: that it's so fun listening to Bill, I just sit 257 00:13:38,480 --> 00:13:41,559 Speaker 6: here and just lay back. But you know they've built 258 00:13:41,640 --> 00:13:45,760 Speaker 6: they were early in recognizing the enormous transformative capability of 259 00:13:45,840 --> 00:13:50,080 Speaker 6: generative AI service. Now used to be a platform of tools, 260 00:13:50,720 --> 00:13:52,640 Speaker 6: Now they're going to be a platform of tools and 261 00:13:52,840 --> 00:13:55,960 Speaker 6: agents that help you use those tools. They're sitting on 262 00:13:56,000 --> 00:13:59,040 Speaker 6: a gold mine of opportunities so that we could have 263 00:13:59,400 --> 00:14:02,439 Speaker 6: not just the tools to use to run our companies, 264 00:14:02,840 --> 00:14:05,120 Speaker 6: we're going to have an AI operating system to run 265 00:14:05,160 --> 00:14:08,480 Speaker 6: all of our companies with all the agents necessary to help. 266 00:14:08,320 --> 00:14:08,720 Speaker 5: Us do that. 267 00:14:09,160 --> 00:14:12,600 Speaker 1: The next level down is the AIPC. It is here 268 00:14:13,160 --> 00:14:17,160 Speaker 1: according to today's announcements. Yes, I don't really even know 269 00:14:17,200 --> 00:14:19,840 Speaker 1: where to start. You know, is the AIPC for the 270 00:14:19,920 --> 00:14:22,920 Speaker 1: knowledge worker or is it for every human around the world. 271 00:14:23,440 --> 00:14:25,040 Speaker 1: In the first instance. 272 00:14:26,760 --> 00:14:29,840 Speaker 3: You know, every time you have a new way of technology, 273 00:14:29,880 --> 00:14:34,840 Speaker 3: you got kind of the early adopters and at some point, 274 00:14:35,160 --> 00:14:39,160 Speaker 3: you know, you inflect where there are mainstream use cases 275 00:14:39,960 --> 00:14:43,880 Speaker 3: And what's really going on right now inside companies is 276 00:14:44,560 --> 00:14:50,640 Speaker 3: you had this incredible surge in buying PCs about four 277 00:14:50,720 --> 00:14:51,480 Speaker 3: years ago with. 278 00:14:51,480 --> 00:14:53,960 Speaker 1: The pandemic that was COVID relates right, yes, and there was. 279 00:14:53,920 --> 00:14:56,560 Speaker 3: An enormous you know, we have the biggest installed base 280 00:14:56,640 --> 00:15:00,240 Speaker 3: ever and so now these organizations are getting ready to 281 00:15:00,400 --> 00:15:05,000 Speaker 3: replace those older machines and they're thinking, Wow, this AI thing, 282 00:15:05,360 --> 00:15:06,560 Speaker 3: maybe there's something to it. 283 00:15:06,560 --> 00:15:10,520 Speaker 1: Right that go duaranting there. If you take Bill's position, 284 00:15:10,680 --> 00:15:13,800 Speaker 1: for example, he's made all the infrastructure investment and probably 285 00:15:13,880 --> 00:15:16,360 Speaker 1: software and talent investment, and now he's thinking, Okay, I've 286 00:15:16,360 --> 00:15:19,120 Speaker 1: got to deck out my twenty four thousand staff around 287 00:15:19,160 --> 00:15:20,840 Speaker 1: the world with AIPCS. 288 00:15:20,960 --> 00:15:23,680 Speaker 5: Is that fat one hundred percent? And we can't wait 289 00:15:23,720 --> 00:15:26,000 Speaker 5: to do it. We're ready, We're ready to go. 290 00:15:26,200 --> 00:15:28,160 Speaker 2: The other thing you got to remember, too, is the 291 00:15:28,280 --> 00:15:29,760 Speaker 2: enterprise is a total mess. 292 00:15:30,120 --> 00:15:32,000 Speaker 5: You said that on something Explain what's happening? 293 00:15:32,200 --> 00:15:34,960 Speaker 2: You're an industry was a week about exactly. But the 294 00:15:35,040 --> 00:15:37,000 Speaker 2: industry is very good at what it does. So for 295 00:15:37,040 --> 00:15:40,640 Speaker 2: fifty years a half a century, everybody sold into an 296 00:15:40,640 --> 00:15:45,000 Speaker 2: individual buying center or a silo finance, HR sales development. 297 00:15:45,400 --> 00:15:48,200 Speaker 2: So now what you have is an unintegrated enterprise. So 298 00:15:48,240 --> 00:15:50,560 Speaker 2: if you're a CEO right now, you're looking down to 299 00:15:50,720 --> 00:15:53,360 Speaker 2: use AI. You're like, well, wait a minute. My people 300 00:15:53,400 --> 00:15:57,240 Speaker 2: are swivel chairing between seventeen applications a day, costing them 301 00:15:57,240 --> 00:15:58,960 Speaker 2: almost one third of productivity. 302 00:15:59,000 --> 00:16:00,800 Speaker 1: Why why do you need change? 303 00:16:00,960 --> 00:16:03,440 Speaker 2: Because you can, And a lot of them don't know 304 00:16:03,480 --> 00:16:05,120 Speaker 2: that it is one single device. 305 00:16:05,160 --> 00:16:07,360 Speaker 1: I'm talking about a laptop or a desktop. No, but 306 00:16:07,440 --> 00:16:08,200 Speaker 1: let me explain that. 307 00:16:08,280 --> 00:16:11,160 Speaker 2: Let me explain it's not about a laptop or a desktop. 308 00:16:11,200 --> 00:16:12,240 Speaker 5: It's about integration. 309 00:16:12,920 --> 00:16:17,520 Speaker 2: Eighty five percent of the projects today in digital transformation 310 00:16:17,640 --> 00:16:21,239 Speaker 2: failed to deliver an ROI for one single reason, integration. 311 00:16:21,960 --> 00:16:24,680 Speaker 2: So we are that, as aid Jensen would say, the 312 00:16:24,760 --> 00:16:28,040 Speaker 2: AI operating system for the enterprise that integrates the past 313 00:16:28,440 --> 00:16:33,200 Speaker 2: but invents the future. So Nvidia, Dell Technologies the other future. 314 00:16:33,840 --> 00:16:36,800 Speaker 2: We all have to still integrate the past. Jensen even 315 00:16:36,840 --> 00:16:40,920 Speaker 2: said on premise is school again. So what companies have 316 00:16:41,000 --> 00:16:44,480 Speaker 2: to do is enable AI, but you have to do 317 00:16:44,560 --> 00:16:49,120 Speaker 2: it by dealing with the past also, and I think simultaneously, 318 00:16:49,280 --> 00:16:52,200 Speaker 2: if I was in a CEO's situation and not work 319 00:16:52,200 --> 00:16:54,960 Speaker 2: in the service, now I'd have a copilot, I'd have 320 00:16:55,040 --> 00:16:58,520 Speaker 2: now assist, I'd have the Nvidia stack running everything, and 321 00:16:58,560 --> 00:17:00,880 Speaker 2: I'd be using Dell technology of course to the enterprise, 322 00:17:00,880 --> 00:17:02,360 Speaker 2: and you know what I'm doing that. 323 00:17:03,160 --> 00:17:06,440 Speaker 1: You are doing it. But I grew up with Dell computers, right, 324 00:17:06,640 --> 00:17:09,160 Speaker 1: and I'm talking about me playing Age of Empires cd 325 00:17:09,359 --> 00:17:14,639 Speaker 1: ROM that Dell computer. Right, convince me and millions of 326 00:17:14,640 --> 00:17:16,960 Speaker 1: people around the world that they have a place for 327 00:17:17,000 --> 00:17:20,880 Speaker 1: the AIPC in their lives. You had five models, right, 328 00:17:21,280 --> 00:17:23,600 Speaker 1: and that's quite a lot of choice for first gen 329 00:17:24,080 --> 00:17:26,359 Speaker 1: of a nascent technology. 330 00:17:26,400 --> 00:17:28,840 Speaker 4: All our new PCs will be aipc's right. 331 00:17:29,640 --> 00:17:33,359 Speaker 3: And the reason is that anything that you're doing that 332 00:17:33,440 --> 00:17:37,119 Speaker 3: hasn't edit prompt is going to be sped up because 333 00:17:37,160 --> 00:17:40,760 Speaker 3: every software developer in the world is figuring out how 334 00:17:40,800 --> 00:17:45,399 Speaker 3: to use all this new power in the GPUs and 335 00:17:45,440 --> 00:17:50,520 Speaker 3: the NPUs in these new aipcs. 336 00:17:49,880 --> 00:17:51,880 Speaker 1: Serial processing units for the. 337 00:17:51,680 --> 00:17:54,240 Speaker 4: Exactly so that experience will be better. 338 00:17:54,400 --> 00:17:57,280 Speaker 3: So when your PC is now four years old, it's 339 00:17:57,280 --> 00:17:59,400 Speaker 3: time for you to get a new one, right, You're 340 00:17:59,440 --> 00:18:02,720 Speaker 3: going to want the one that speeds up those new capabilities. 341 00:18:03,080 --> 00:18:05,960 Speaker 7: And inside your company, they're gonna want to make sure. 342 00:18:05,840 --> 00:18:08,119 Speaker 3: You have that that you know, they don't want to 343 00:18:08,119 --> 00:18:11,560 Speaker 3: buy a machine that's gonna last for several years that 344 00:18:11,720 --> 00:18:12,399 Speaker 3: doesn't have. 345 00:18:12,280 --> 00:18:17,439 Speaker 1: That capability Jensen, whereas Nvidia's placed in the AIPC. I 346 00:18:17,480 --> 00:18:19,800 Speaker 1: know you is gaming. That's again I grew up with 347 00:18:19,880 --> 00:18:22,560 Speaker 1: the gaming side of Nvidia. Do you have a place 348 00:18:22,560 --> 00:18:23,720 Speaker 1: in the AIPC market. 349 00:18:23,760 --> 00:18:24,480 Speaker 4: Come back next year. 350 00:18:25,520 --> 00:18:26,600 Speaker 5: There's exactly. 351 00:18:26,640 --> 00:18:28,840 Speaker 6: There are a bunch of bunch of video GPUs and 352 00:18:28,880 --> 00:18:34,240 Speaker 6: del PCs, del workstations. All of our GPUs have the 353 00:18:34,320 --> 00:18:37,760 Speaker 6: same tensor cores that are running in h one hundreds 354 00:18:37,760 --> 00:18:40,480 Speaker 6: in the cloud, and so every one of our GPUs 355 00:18:41,000 --> 00:18:42,600 Speaker 6: use AI to do its work. 356 00:18:43,200 --> 00:18:45,359 Speaker 5: AI of course is going to transform gaming. 357 00:18:45,760 --> 00:18:49,320 Speaker 6: All the NPCs, the non player characters, they're going to 358 00:18:49,359 --> 00:18:50,160 Speaker 6: be checked by. 359 00:18:50,200 --> 00:18:53,040 Speaker 1: That's been time. How it will be cut For example. 360 00:18:52,800 --> 00:18:54,480 Speaker 5: Creating world is going to be easier. 361 00:18:55,160 --> 00:18:59,520 Speaker 6: Instead of instruction driven computing, it's now intention driven computing. 362 00:18:59,600 --> 00:19:02,960 Speaker 6: So it's easier to write programs. Python programs will be 363 00:19:03,000 --> 00:19:06,400 Speaker 6: even easier to write. Video conferencing will be a lot 364 00:19:06,480 --> 00:19:07,800 Speaker 6: better because of it. 365 00:19:09,040 --> 00:19:11,840 Speaker 1: But what you did with Blackwell and other products, is 366 00:19:11,920 --> 00:19:15,240 Speaker 1: you innovated by saying, okay, let's combine GPU is CPU. 367 00:19:15,800 --> 00:19:17,800 Speaker 1: Is that the next itseration for you in AI PC? 368 00:19:17,960 --> 00:19:20,679 Speaker 1: You go, okay, here's the Nvidia CPU that goes with it. 369 00:19:21,200 --> 00:19:25,240 Speaker 6: We want to support every CPU the world makes. And 370 00:19:25,480 --> 00:19:28,760 Speaker 6: there are places that one x eighty six, we support 371 00:19:28,840 --> 00:19:31,840 Speaker 6: x eighty six. There are places that prefer ARM, We 372 00:19:31,880 --> 00:19:35,560 Speaker 6: support ARM. We just went to i C and the 373 00:19:35,680 --> 00:19:38,600 Speaker 6: top most energy efficient supercomputers in the world are now 374 00:19:38,640 --> 00:19:42,359 Speaker 6: powered by Grace Hoppers, And so wherever it makes sense, 375 00:19:42,400 --> 00:19:45,199 Speaker 6: we'll support the right CPUs, but we'll support every CPU. 376 00:19:45,560 --> 00:19:48,720 Speaker 1: Let's talk about the US leadership side of this. With 377 00:19:48,880 --> 00:19:54,399 Speaker 1: three American CEOs, is that news frankly in and of 378 00:19:54,440 --> 00:19:58,160 Speaker 1: itself that across all parts of the supply chain, they 379 00:19:58,160 --> 00:20:03,480 Speaker 1: are American companies that are leading. Michael Dell, I'm not. 380 00:20:03,400 --> 00:20:06,480 Speaker 3: Really sure that it's news because it's been uh, you know, 381 00:20:06,480 --> 00:20:10,240 Speaker 3: the US has been has been leading UH in innovation 382 00:20:10,880 --> 00:20:12,160 Speaker 3: for for quite some time. 383 00:20:12,920 --> 00:20:14,760 Speaker 4: But it's certainly a great thing. 384 00:20:14,800 --> 00:20:19,040 Speaker 3: For for UH, for the United States and and the 385 00:20:19,160 --> 00:20:23,520 Speaker 3: US economy to have, you know, great companies like Nvidia, 386 00:20:23,760 --> 00:20:27,560 Speaker 3: Service Now and Microsoft you know here in you know, 387 00:20:28,200 --> 00:20:32,600 Speaker 3: driving innovations, driving productivity and efficiency, and you know, the 388 00:20:32,640 --> 00:20:38,640 Speaker 3: world requires these new technologies to enable everything. 389 00:20:38,920 --> 00:20:42,320 Speaker 1: You talked on stage about your your experience and the 390 00:20:42,320 --> 00:20:46,119 Speaker 1: supply chain, your global experience of doing business. But do 391 00:20:46,240 --> 00:20:50,560 Speaker 1: you see the same investment in Europe, Latin America, Southeast Asia, 392 00:20:50,640 --> 00:20:52,240 Speaker 1: as you do in the United States, and both the 393 00:20:52,240 --> 00:20:53,720 Speaker 1: corporate and public sector side. 394 00:20:54,800 --> 00:20:55,359 Speaker 4: It's coming. 395 00:20:55,640 --> 00:20:57,240 Speaker 3: You know, Jens and I spent a lot of time 396 00:20:57,280 --> 00:21:01,080 Speaker 3: talking about this and how it's expanding out. And you 397 00:21:01,119 --> 00:21:04,560 Speaker 3: know we're seeing You saw an example from South Korea 398 00:21:04,680 --> 00:21:08,000 Speaker 3: on stage, yes, right, with Samsung Sung. You see this 399 00:21:08,400 --> 00:21:11,920 Speaker 3: in the Middle East, you see it in sovereign AIS 400 00:21:11,960 --> 00:21:14,920 Speaker 3: that are being built up. And you know, for our 401 00:21:15,040 --> 00:21:19,840 Speaker 3: country to encapsulate its own culture, language, and beliefs, that's 402 00:21:20,040 --> 00:21:22,040 Speaker 3: happening in every country in the world. 403 00:21:21,800 --> 00:21:24,080 Speaker 1: Which esid you and I've discussed sovereign AI in the past. 404 00:21:24,320 --> 00:21:27,119 Speaker 1: You know some recent US being Japan as an example. 405 00:21:27,400 --> 00:21:29,439 Speaker 1: But I go back to my same question about the 406 00:21:29,560 --> 00:21:33,359 Speaker 1: durability of this market moving beyond the hyperscalas to see 407 00:21:33,400 --> 00:21:37,120 Speaker 1: big commitments at the nation state level. Again, is today's 408 00:21:37,200 --> 00:21:40,919 Speaker 1: news and indication that that happens because of AI factories 409 00:21:41,080 --> 00:21:43,040 Speaker 1: or are they running two separate paths. 410 00:21:43,880 --> 00:21:50,280 Speaker 6: No country can afford to outsource its intelligence on first principles, 411 00:21:51,160 --> 00:21:54,720 Speaker 6: every country has its native natural resource called its language, 412 00:21:54,720 --> 00:21:56,160 Speaker 6: it's culture, it's intelligence. 413 00:21:57,000 --> 00:21:58,920 Speaker 5: And now people realize. 414 00:21:58,800 --> 00:22:03,000 Speaker 6: That because their country's data is part of their natural resource, 415 00:22:03,119 --> 00:22:06,639 Speaker 6: not just the copper, minds and the gold, or know, 416 00:22:06,760 --> 00:22:10,040 Speaker 6: the lithium or whatever it is. It's also part the 417 00:22:10,119 --> 00:22:12,320 Speaker 6: data is also part of their natural resource. And they 418 00:22:12,320 --> 00:22:15,480 Speaker 6: have to make sure that they harness that natural resource 419 00:22:15,640 --> 00:22:19,679 Speaker 6: and translated transferred into artificial intelligence. And where to do that, 420 00:22:19,680 --> 00:22:23,359 Speaker 6: they need AI factories in every single country. It's also 421 00:22:23,400 --> 00:22:27,000 Speaker 6: the case that many countries have excess. 422 00:22:26,600 --> 00:22:29,360 Speaker 1: Power, you mean energy energy. 423 00:22:29,960 --> 00:22:33,000 Speaker 6: Excess energy, and so that excess energy how to be 424 00:22:33,040 --> 00:22:40,120 Speaker 6: transferred translated into intelligence. And this new industry, this industry 425 00:22:40,160 --> 00:22:41,880 Speaker 6: of producing intelligence is one. 426 00:22:41,800 --> 00:22:43,520 Speaker 5: Of the greatest opportunities I've ever seen. 427 00:22:44,040 --> 00:22:45,920 Speaker 6: One of the things that you were asking about earlier 428 00:22:45,960 --> 00:22:49,520 Speaker 6: about how quickly AI will be adopted. It is far 429 00:22:49,680 --> 00:22:54,920 Speaker 6: easier to interact with a computer that understands your intention 430 00:22:55,080 --> 00:22:58,520 Speaker 6: what you want because it's intelligent, than it is to 431 00:22:58,680 --> 00:23:02,200 Speaker 6: program the computer one line of instruction at a time. 432 00:23:03,000 --> 00:23:06,440 Speaker 6: The world has very few experts and C plus plus 433 00:23:06,480 --> 00:23:09,160 Speaker 6: and C, but the world has many people who knows 434 00:23:09,160 --> 00:23:12,280 Speaker 6: how to converse and ask somebody for help. And now 435 00:23:12,320 --> 00:23:15,160 Speaker 6: you could interact with a computer in that very natural 436 00:23:15,240 --> 00:23:15,760 Speaker 6: human way. 437 00:23:15,880 --> 00:23:18,440 Speaker 5: Tesla, really yeah, and so we've really lowered the bar. 438 00:23:18,800 --> 00:23:19,600 Speaker 5: Let me ask computer. 439 00:23:19,960 --> 00:23:23,679 Speaker 1: We're running out of time, gentlemen, but Jensen. Overnight we 440 00:23:23,760 --> 00:23:27,080 Speaker 1: had a new Taiwanese president sworn in. You've told me 441 00:23:27,119 --> 00:23:29,720 Speaker 1: your position on China, but you've both talked on stage 442 00:23:29,720 --> 00:23:32,639 Speaker 1: about how global this is. You're still quite dependent on 443 00:23:32,680 --> 00:23:37,480 Speaker 1: TSMC to manufacture your chips. Do you still focus on 444 00:23:37,520 --> 00:23:40,560 Speaker 1: what's happening in Taiwan? What's happening in China? You've been 445 00:23:40,680 --> 00:23:44,280 Speaker 1: very clear about your product cide with China, but still geopolitically, 446 00:23:45,200 --> 00:23:48,040 Speaker 1: US leadership impacts a key market. 447 00:23:49,760 --> 00:23:54,359 Speaker 6: Well, Taiwan is at the epicenter of the world's technology supply. 448 00:23:54,480 --> 00:23:59,119 Speaker 6: Why chain Without Taiwan, it would be very difficult for 449 00:23:59,680 --> 00:24:01,879 Speaker 6: my and I to do our jobs. It would be 450 00:24:01,960 --> 00:24:05,120 Speaker 6: very difficult for us to serve Bill and his company, 451 00:24:05,480 --> 00:24:08,879 Speaker 6: And so the technology industry depends very heavily on Taiwan, 452 00:24:08,880 --> 00:24:10,280 Speaker 6: who continues to for some time. 453 00:24:10,800 --> 00:24:15,600 Speaker 1: Let's end on energy and power. People are conscious about it. 454 00:24:15,680 --> 00:24:18,399 Speaker 1: You know, Bill, we talked about your infrastructure investment, We 455 00:24:18,520 --> 00:24:23,400 Speaker 1: talked about Babe, AIPC upgrade cycle. But your costs did 456 00:24:23,400 --> 00:24:25,200 Speaker 1: it keep you up at night? That's a classic question, 457 00:24:25,280 --> 00:24:25,640 Speaker 1: isn't it. 458 00:24:25,680 --> 00:24:27,960 Speaker 2: Well, I think it's all about the returns that you 459 00:24:28,000 --> 00:24:32,199 Speaker 2: get on the investment. If we weren't expanding our margin 460 00:24:32,280 --> 00:24:35,680 Speaker 2: profile and growing our revenues at a record clip, it 461 00:24:35,800 --> 00:24:38,720 Speaker 2: probably keep me up. But we are because the AI 462 00:24:38,840 --> 00:24:41,360 Speaker 2: revolution is the biggest market we've ever sold into. 463 00:24:41,400 --> 00:24:42,600 Speaker 5: I do want to make a couple points. 464 00:24:42,600 --> 00:24:45,480 Speaker 2: One is it's very important what you started out the 465 00:24:45,520 --> 00:24:50,480 Speaker 2: interview with the openness. So with LM's we have a 466 00:24:50,480 --> 00:24:54,240 Speaker 2: policy where any customer doing their own LLLM or working 467 00:24:54,280 --> 00:24:56,880 Speaker 2: with another large language model, they can bring their own 468 00:24:56,920 --> 00:25:00,159 Speaker 2: to service now and fully integrated into the platform. That 469 00:25:00,240 --> 00:25:02,760 Speaker 2: on the record, because this openness is a key part 470 00:25:02,800 --> 00:25:04,720 Speaker 2: of our overall strategy. What does that matter? 471 00:25:05,000 --> 00:25:06,600 Speaker 5: Because of the globalization effect. 472 00:25:06,640 --> 00:25:09,520 Speaker 2: If you look at Neom, we're doing a smart city 473 00:25:09,800 --> 00:25:11,959 Speaker 2: in the Kingdom of Saudi Arabia. If you look at 474 00:25:11,960 --> 00:25:16,320 Speaker 2: our great brand ambassador Idris Elba, We're now going to 475 00:25:16,400 --> 00:25:19,680 Speaker 2: build a smart city together in Sierra Leone, and all 476 00:25:19,720 --> 00:25:23,160 Speaker 2: over the globe, public sector, private sector, all these industries 477 00:25:23,200 --> 00:25:26,040 Speaker 2: are changing all at once. I gave the Schwartz Group example, 478 00:25:26,359 --> 00:25:28,879 Speaker 2: because they're running a great company in Germany, number one 479 00:25:28,920 --> 00:25:32,240 Speaker 2: retailer in Europe. Everything is being reinvented in that company 480 00:25:32,240 --> 00:25:32,720 Speaker 2: by AI. 481 00:25:32,880 --> 00:25:35,760 Speaker 5: So please know it. This is not like a little thing. 482 00:25:35,840 --> 00:25:38,120 Speaker 2: This is the biggest thing any one of the three 483 00:25:38,119 --> 00:25:39,640 Speaker 2: of us have ever seen in our lifetime. 484 00:25:40,960 --> 00:25:44,800 Speaker 1: That's pretty intense place to end it. Michael Dell Chairman, 485 00:25:44,880 --> 00:25:47,440 Speaker 1: and Coeodell, thank you for hosting us here in Vegas. 486 00:25:47,520 --> 00:25:50,640 Speaker 1: He does want of Nvidia film McDermott of service now. 487 00:25:50,920 --> 00:25:51,640 Speaker 1: Thank you.