1 00:00:00,040 --> 00:00:10,680 Speaker 1: Bloomberg Audio Studios, Podcasts, Radio News. 2 00:00:12,680 --> 00:00:15,800 Speaker 2: Welcome to the Daybreak Asia podcast. I'm Doug Krisner. We 3 00:00:15,920 --> 00:00:19,040 Speaker 2: begin with the results from the world's most valuable publicly 4 00:00:19,079 --> 00:00:22,440 Speaker 2: traded company after the bell in. Vidio posted third quarter 5 00:00:22,520 --> 00:00:25,919 Speaker 2: numbers above estimates, and the company gave a strong forecast 6 00:00:25,960 --> 00:00:29,000 Speaker 2: for revenue in the current period. Sales are expected to 7 00:00:29,040 --> 00:00:32,879 Speaker 2: be about sixty five billion dollars and gross margins are 8 00:00:32,920 --> 00:00:36,360 Speaker 2: expected to reach the mid seventy percent range. So this 9 00:00:36,560 --> 00:00:42,120 Speaker 2: outlook signals demand does remain strong for Invidia's artificial intelligence accelerators. 10 00:00:42,520 --> 00:00:45,479 Speaker 2: We took a deeper dive into the Nvidia story with 11 00:00:45,600 --> 00:00:49,080 Speaker 2: CEO Jensen Wong. He spoke with Bloomberg's Ed Ludlow. 12 00:00:49,200 --> 00:00:53,640 Speaker 3: Jensen, It's been an astonishingly busy day for you in Washington, DC, 13 00:00:53,760 --> 00:00:58,320 Speaker 3: so I'm grateful for your time. You're sold out of Blackwell, 14 00:00:58,720 --> 00:01:01,560 Speaker 3: that's what you said, and also that five hundred billion 15 00:01:01,560 --> 00:01:05,720 Speaker 3: dollar forecast, which is Blackwell Rubin has room to grow. 16 00:01:06,360 --> 00:01:07,640 Speaker 3: How do those fit together? 17 00:01:11,520 --> 00:01:18,160 Speaker 4: I said, Sales are off the charts for Blackwell and 18 00:01:18,280 --> 00:01:22,360 Speaker 4: Nvidia GPUs in the cloud are sold out. We got 19 00:01:22,400 --> 00:01:25,360 Speaker 4: plenty of Blackwells to sell you. We have lots of 20 00:01:25,400 --> 00:01:29,399 Speaker 4: Blackwells coming. We're making a lot of Blackwells, and we 21 00:01:29,480 --> 00:01:34,520 Speaker 4: have a bunch of Vera Rubens coming, and so business 22 00:01:34,600 --> 00:01:38,760 Speaker 4: is very very strong. But we've planned our supply chain 23 00:01:38,800 --> 00:01:41,520 Speaker 4: incredibly well. We have the largest supply chain in the world. 24 00:01:42,200 --> 00:01:47,840 Speaker 4: Our partners TSMC, our memory partners, sk Heinex, Micron, Samsung 25 00:01:48,040 --> 00:01:51,040 Speaker 4: are doing a fantastic job supporting us. And all of 26 00:01:51,120 --> 00:01:54,880 Speaker 4: our systems partners, fox Con and Quantum and Wistron are 27 00:01:54,920 --> 00:01:58,240 Speaker 4: packaging partners. Everybody's doing a fantastic job supporting us. And 28 00:01:58,280 --> 00:02:01,480 Speaker 4: we've done a good job planning for a very very 29 00:02:01,520 --> 00:02:03,880 Speaker 4: strong year, and we've done a good job planning for 30 00:02:03,960 --> 00:02:08,680 Speaker 4: Vera Rubin. So sales are off the charts and video 31 00:02:08,720 --> 00:02:11,760 Speaker 4: GPUs and the cloud is sold out, but we've got 32 00:02:11,760 --> 00:02:13,080 Speaker 4: a bunch of Blackwells to sell. 33 00:02:14,280 --> 00:02:17,000 Speaker 3: Jensen, what's the road ahead for Vera Rubin. It's one 34 00:02:17,000 --> 00:02:19,080 Speaker 3: of the most common questions we get for you of 35 00:02:19,120 --> 00:02:22,200 Speaker 3: how that ramp will go relative to what we saw 36 00:02:22,280 --> 00:02:25,400 Speaker 3: with the Blackwell generations. 37 00:02:27,120 --> 00:02:32,120 Speaker 4: Well, the silicon for Vera Rubin, seven different chips are 38 00:02:32,160 --> 00:02:34,800 Speaker 4: back in our labs and the bring up is happening 39 00:02:34,840 --> 00:02:38,920 Speaker 4: across engineering teams. Probably a couple of twenty thousand people 40 00:02:39,000 --> 00:02:43,240 Speaker 4: are working on bringing up Vera Rubin from silicon to systems, 41 00:02:43,280 --> 00:02:47,400 Speaker 4: the software to algorithms. People are working around the clock 42 00:02:47,880 --> 00:02:51,840 Speaker 4: and this bring up is going beautifully. We're on track 43 00:02:52,000 --> 00:02:56,240 Speaker 4: to deliver Vera Rubin about Q three timeframe of next year, 44 00:02:57,440 --> 00:03:02,040 Speaker 4: continuing our once a year cycle. Vera Ruben is already 45 00:03:03,040 --> 00:03:07,760 Speaker 4: assured a huge success. Everybody's incredibly excited about it. Can't 46 00:03:07,800 --> 00:03:11,760 Speaker 4: wait to show everybody. And then one last thing is 47 00:03:11,800 --> 00:03:16,760 Speaker 4: that the rack architecture, the rack scale architecture is completely revolutionary. 48 00:03:17,400 --> 00:03:21,120 Speaker 4: It includes a scale up switch called the mvy Link 49 00:03:21,760 --> 00:03:25,000 Speaker 4: envy Link seventy two. Our fifth generation is the only 50 00:03:25,040 --> 00:03:28,440 Speaker 4: one of its kind in the world. This rack architecture, 51 00:03:28,840 --> 00:03:32,960 Speaker 4: which is incredibly complex, started with Grace Blackwell, then Grace 52 00:03:33,000 --> 00:03:37,800 Speaker 4: Blackwell Ultra. It is transitioned to Grace Blackwell Ultra is 53 00:03:37,800 --> 00:03:43,760 Speaker 4: incredibly seamless. The same rack scale architecture is going to 54 00:03:43,800 --> 00:03:46,800 Speaker 4: be used for Vera Rubin, and so the supply chain 55 00:03:46,880 --> 00:03:50,600 Speaker 4: is all used to it. This complexity that we enjoyed 56 00:03:50,720 --> 00:03:55,240 Speaker 4: with Grace Blackwell transition, we're now incredibly smooth running and 57 00:03:55,280 --> 00:03:57,200 Speaker 4: so I think Vera Ruben is going to be just 58 00:03:57,440 --> 00:03:59,440 Speaker 4: really smooth and we're gonna rap it really hard. 59 00:04:00,440 --> 00:04:03,560 Speaker 3: Jensen I tried to go through what the CFO COLLECT 60 00:04:03,600 --> 00:04:07,200 Speaker 3: CRES said about China. In the quarter gone it seemed 61 00:04:07,240 --> 00:04:10,600 Speaker 3: like there was not meaning for H twenty sales because 62 00:04:10,640 --> 00:04:13,400 Speaker 3: the demand wasn't there even if you were permitted to 63 00:04:13,400 --> 00:04:16,040 Speaker 3: sell H twenty. And then in the current period and 64 00:04:16,080 --> 00:04:19,200 Speaker 3: going forward in video, seems committed to working with both 65 00:04:19,240 --> 00:04:24,640 Speaker 3: the United States and China to sell what COLLECT called 66 00:04:24,839 --> 00:04:28,480 Speaker 3: more competitive compute. Where do we stand with that and 67 00:04:28,839 --> 00:04:32,120 Speaker 3: could you just clarify what COLLECT was talking about in 68 00:04:32,160 --> 00:04:36,000 Speaker 3: the current state of play for China. 69 00:04:37,040 --> 00:04:40,719 Speaker 4: The most important thing she said is that we've said 70 00:04:40,760 --> 00:04:44,719 Speaker 4: for some time now our forecast for China is zero. 71 00:04:45,800 --> 00:04:49,880 Speaker 4: All of our forecasts guidance that we showed zero, we 72 00:04:49,920 --> 00:04:52,599 Speaker 4: should start. That's the most important thing that she said. 73 00:04:52,880 --> 00:04:56,279 Speaker 4: She also said that effectively, China's a very important market 74 00:04:56,279 --> 00:04:59,240 Speaker 4: to us. It's very important to the United States, it's 75 00:04:59,320 --> 00:05:03,200 Speaker 4: very important to China. We would love the opportunity to 76 00:05:03,279 --> 00:05:07,080 Speaker 4: be able to re engage the Chinese market with excellent 77 00:05:07,120 --> 00:05:10,920 Speaker 4: products that we deliver and to be able to compete globally. 78 00:05:11,640 --> 00:05:15,520 Speaker 4: The Chinese market is very large. This year, my guess 79 00:05:15,600 --> 00:05:19,080 Speaker 4: is probably about fifty billion dollars. It's great for the 80 00:05:19,120 --> 00:05:22,799 Speaker 4: American people that we're able to compete in the Chinese market. 81 00:05:23,000 --> 00:05:25,359 Speaker 4: It's great for the China market that we're able to 82 00:05:25,360 --> 00:05:28,800 Speaker 4: provide and video's technology to them. It's great for the 83 00:05:28,839 --> 00:05:33,080 Speaker 4: rest of the world as Chinese software companies and Chinese 84 00:05:33,320 --> 00:05:36,719 Speaker 4: open source models leave China and are used all over 85 00:05:36,760 --> 00:05:39,880 Speaker 4: the world. And so I think it's fantastic that we're able. 86 00:05:40,200 --> 00:05:42,560 Speaker 4: It would be fantastic if we're able to participate in 87 00:05:42,560 --> 00:05:45,600 Speaker 4: the China market. But for now, we should just assume 88 00:05:46,080 --> 00:05:51,160 Speaker 4: the videos forecast for China market is zero. We're going 89 00:05:51,200 --> 00:05:54,240 Speaker 4: to continue to engage the US government, continue to engage 90 00:05:54,240 --> 00:05:58,200 Speaker 4: the China government to advise them and to encourage them 91 00:05:58,240 --> 00:05:59,680 Speaker 4: to allow us to go back and compete in the 92 00:05:59,680 --> 00:06:04,600 Speaker 4: open market. And so until then we should assume zero Jensen. 93 00:06:04,640 --> 00:06:08,240 Speaker 3: During the call, the US Commerce Department issued a statement 94 00:06:08,440 --> 00:06:11,960 Speaker 3: saying that you are now permitted to export up to 95 00:06:12,040 --> 00:06:16,280 Speaker 3: thirty five thousand Blackwell chips each to both saudiast Humane 96 00:06:16,640 --> 00:06:19,440 Speaker 3: and to the UAE through G forty two. But there 97 00:06:19,440 --> 00:06:22,680 Speaker 3: are some requirements that the US has a view, in 98 00:06:22,720 --> 00:06:28,600 Speaker 3: particular around controls of preventing tech transfer to China through 99 00:06:28,640 --> 00:06:30,479 Speaker 3: the Middle East. What can you tell us about your 100 00:06:30,560 --> 00:06:33,200 Speaker 3: understanding of what the US government's asking of you there 101 00:06:37,680 --> 00:06:38,359 Speaker 3: that that. 102 00:06:41,480 --> 00:06:45,359 Speaker 4: Element has been around for a long time is to 103 00:06:45,440 --> 00:06:50,200 Speaker 4: prevent diversion. Of course, over the years, people have speculated 104 00:06:50,240 --> 00:06:56,080 Speaker 4: about diversion. We've chased down every single concern, and we've 105 00:06:56,520 --> 00:07:01,800 Speaker 4: repeatedly tested and sampled data centers around the world and 106 00:07:02,160 --> 00:07:06,640 Speaker 4: found no diversion. And so this is an area that 107 00:07:07,360 --> 00:07:10,840 Speaker 4: will continue to be rigorous on. And there's a lot 108 00:07:10,840 --> 00:07:15,520 Speaker 4: of different ways to comply, and one of them, of course, 109 00:07:16,000 --> 00:07:19,400 Speaker 4: is to have it be run by American cloud. Another 110 00:07:19,480 --> 00:07:22,440 Speaker 4: way is just to make sure that we have measures 111 00:07:22,600 --> 00:07:26,040 Speaker 4: put in place, whether technology or processes, to ensure that 112 00:07:26,080 --> 00:07:27,040 Speaker 4: no diversion happens. 113 00:07:28,440 --> 00:07:30,800 Speaker 3: Jensen, The number one question I get for you is 114 00:07:30,880 --> 00:07:36,200 Speaker 3: always about energy. How severe is the energy shortage in 115 00:07:36,240 --> 00:07:39,000 Speaker 3: the context of AI expansion, and would you talk a 116 00:07:39,000 --> 00:07:43,080 Speaker 3: bit about power and whether power is a bigger constraint 117 00:07:43,600 --> 00:07:45,960 Speaker 3: for this buildout than the chips themselves. 118 00:07:49,760 --> 00:07:54,200 Speaker 4: When you're growing at the rate and scale of Nvidia, 119 00:07:55,120 --> 00:07:58,600 Speaker 4: Remember we're growing some sixty percent a year just quarter 120 00:07:58,720 --> 00:08:02,560 Speaker 4: to quarter growth of our company as ten billion dollars. 121 00:08:03,080 --> 00:08:05,520 Speaker 4: We grew an entire size of a company just from 122 00:08:05,680 --> 00:08:09,920 Speaker 4: in one quarter, and so the scale and the rate 123 00:08:10,000 --> 00:08:12,960 Speaker 4: at which we're growing everything's a challenge, which is the 124 00:08:12,960 --> 00:08:15,880 Speaker 4: reason why Nvidia has to be world class at our 125 00:08:15,920 --> 00:08:20,280 Speaker 4: supply chain, working with incredible providers and suppliers like TSMC 126 00:08:20,480 --> 00:08:23,720 Speaker 4: and the memory partners and all of our systems partners, 127 00:08:24,080 --> 00:08:29,520 Speaker 4: but also working downstream to work with energy providers, power 128 00:08:29,640 --> 00:08:34,600 Speaker 4: generator companies, all of the land power and shell providers, 129 00:08:34,920 --> 00:08:37,920 Speaker 4: so that we could make sure that as we launch 130 00:08:38,000 --> 00:08:41,280 Speaker 4: into the marketplace, as we deploy into the marketplace, land 131 00:08:41,320 --> 00:08:44,440 Speaker 4: power and shell will be ready for us. One of 132 00:08:44,480 --> 00:08:48,160 Speaker 4: our great advantages is that we have such a large 133 00:08:48,360 --> 00:08:52,160 Speaker 4: network of go to market. We're in every single cloud. 134 00:08:52,360 --> 00:08:54,679 Speaker 4: Every single cloud service provider is a customer of ours. 135 00:08:55,080 --> 00:08:59,000 Speaker 4: We're in every single GPU cloud, and so we have 136 00:08:59,040 --> 00:09:01,960 Speaker 4: a large network, not to mention OEMs, not to mention, 137 00:09:02,080 --> 00:09:06,000 Speaker 4: all around the world. Our customer base, our network of 138 00:09:06,040 --> 00:09:09,480 Speaker 4: partners is so large that we will find nooks and 139 00:09:09,520 --> 00:09:13,400 Speaker 4: crannies of power and large scale, medium scale, small scale 140 00:09:13,840 --> 00:09:16,400 Speaker 4: in different parts of the world. And so this is 141 00:09:16,440 --> 00:09:19,120 Speaker 4: a huge advantage of ours, and it stems from the 142 00:09:19,160 --> 00:09:25,280 Speaker 4: fact ed that Nvidia's architecture literally runs every model and today, 143 00:09:25,600 --> 00:09:28,920 Speaker 4: yesterday we announced a big news with Nentropic and so 144 00:09:29,040 --> 00:09:38,120 Speaker 4: now the premiere frontier models, open Ai, Anthropic, Xai, Gemini, 145 00:09:39,000 --> 00:09:44,600 Speaker 4: all the open sources, biological models, physical ai models, everything 146 00:09:44,679 --> 00:09:47,480 Speaker 4: in the world runs on Nvidia. And as a result 147 00:09:47,559 --> 00:09:51,480 Speaker 4: of that, irrespective of which cloud provider you are, it 148 00:09:51,600 --> 00:09:55,960 Speaker 4: is fantastic that we can deploy in your cloud because 149 00:09:55,960 --> 00:09:57,360 Speaker 4: the off take will be incredible. 150 00:09:58,280 --> 00:10:00,800 Speaker 3: Jensen, we can see where the hyperscale is are getting 151 00:10:00,840 --> 00:10:03,320 Speaker 3: the money, where they have the money to deploy and build. 152 00:10:03,800 --> 00:10:07,040 Speaker 3: But you mentioned Anthropic. With Anthropic or indeed open Ai, 153 00:10:07,360 --> 00:10:12,040 Speaker 3: they have tens of billions of dollars of commitments around 154 00:10:12,040 --> 00:10:14,560 Speaker 3: the world. Very simple like, how do you know the 155 00:10:14,600 --> 00:10:16,480 Speaker 3: open ai is good for it that it will be 156 00:10:16,520 --> 00:10:20,440 Speaker 3: able to find the money. 157 00:10:21,320 --> 00:10:27,559 Speaker 4: Well, we're thoughtful along with open Ai, thoughtful in aligning 158 00:10:27,640 --> 00:10:33,800 Speaker 4: on and taking into consideration visibility of demand and their 159 00:10:33,840 --> 00:10:37,599 Speaker 4: financing capabilities. All of that has to be in accordance, 160 00:10:38,080 --> 00:10:41,320 Speaker 4: has to be aligned, has to be coherent before we 161 00:10:41,360 --> 00:10:46,440 Speaker 4: start to build out. And so I think the ambitions large, 162 00:10:46,720 --> 00:10:50,680 Speaker 4: but the execution is disciplined, and that's really really important 163 00:10:50,720 --> 00:10:54,520 Speaker 4: to recognize we're very disciplined with our investment, We're disciplined 164 00:10:54,559 --> 00:10:58,840 Speaker 4: with our buildout. These are very large scale investments, and 165 00:10:58,920 --> 00:11:02,440 Speaker 4: so the two teams are quite disciplined, very disciplined in 166 00:11:02,480 --> 00:11:06,080 Speaker 4: thinking through the investment levels. Now, it's also important to 167 00:11:06,080 --> 00:11:09,679 Speaker 4: take a step back and realize that open AI anthropic. 168 00:11:10,280 --> 00:11:14,439 Speaker 4: These are the fastest growing company in the history of humanity. 169 00:11:14,920 --> 00:11:20,120 Speaker 4: Their off take, their end market demand is absolutely real 170 00:11:20,360 --> 00:11:23,960 Speaker 4: and absolutely incredible, and you could see that they're really 171 00:11:23,960 --> 00:11:26,640 Speaker 4: struggling to keep up with the demand that they have. 172 00:11:27,160 --> 00:11:29,840 Speaker 4: The engineering teams we work incredibly hard to make sure 173 00:11:29,840 --> 00:11:33,600 Speaker 4: that we bring them on more capacity, but also optimizing 174 00:11:33,640 --> 00:11:36,880 Speaker 4: their stack so that the usage of whatever capacity is 175 00:11:36,880 --> 00:11:40,800 Speaker 4: as efficient as possible. And meanwhile, there's so many new 176 00:11:40,920 --> 00:11:43,200 Speaker 4: use cases that they want to put back put out 177 00:11:43,200 --> 00:11:46,599 Speaker 4: into the world, and its currently limited by the capacity 178 00:11:46,600 --> 00:11:49,440 Speaker 4: they have, and so this is a really important time. 179 00:11:49,679 --> 00:11:53,000 Speaker 4: You're seeing an exponential growth in the amount of compute 180 00:11:53,000 --> 00:11:57,600 Speaker 4: demand necessary for AI, You're seeing an exponential growth of 181 00:11:57,920 --> 00:12:02,960 Speaker 4: adoption and use of AI, and the number of applications 182 00:12:02,960 --> 00:12:05,520 Speaker 4: that are going to be using these AI is also growing, 183 00:12:05,679 --> 00:12:07,880 Speaker 4: and so we've got to do our best to support 184 00:12:07,920 --> 00:12:11,040 Speaker 4: the scaling out of two of the most consequential companies 185 00:12:11,080 --> 00:12:14,360 Speaker 4: in history, and we're delied to be partnered with them. 186 00:12:15,360 --> 00:12:21,640 Speaker 3: Jensen investors have been worrying about depreciation. Software can actually 187 00:12:21,679 --> 00:12:24,320 Speaker 3: extend life like there are a one hundreds out there 188 00:12:24,559 --> 00:12:29,200 Speaker 3: in the real world still at full utilization. Are people 189 00:12:29,320 --> 00:12:33,360 Speaker 3: underestimating how long your chips stay useful or are they 190 00:12:33,440 --> 00:12:37,800 Speaker 3: kind of misunderstanding in the context of depreciation, how you're 191 00:12:37,840 --> 00:12:41,360 Speaker 3: handling generation to generation updates of GPU. 192 00:12:44,320 --> 00:12:51,560 Speaker 4: And Vidious architect and vidiot is unlike any other accelerator, 193 00:12:52,720 --> 00:12:57,640 Speaker 4: and the reason for that is because of Kuda's diversity 194 00:12:57,679 --> 00:13:01,800 Speaker 4: of capability and versatility. Remember I said two things earlier. 195 00:13:02,440 --> 00:13:06,880 Speaker 4: I said the fact that Nvidia participates and could accelerate 196 00:13:07,040 --> 00:13:11,000 Speaker 4: every phase of AI, pre training, post training, and inference. 197 00:13:11,440 --> 00:13:14,200 Speaker 4: We're the only architecture in the world that does that fantastically. 198 00:13:14,800 --> 00:13:18,160 Speaker 4: The second thing we do we run every single model, 199 00:13:19,120 --> 00:13:23,040 Speaker 4: and so most agentic systems, most clouds are running so 200 00:13:23,120 --> 00:13:26,760 Speaker 4: many different diverse type of models language models, vision models, 201 00:13:26,880 --> 00:13:30,319 Speaker 4: biological models, chemical models, for all the different fields of science. 202 00:13:31,040 --> 00:13:37,160 Speaker 4: Nvidia could be used across the entire lifespan of the technology. 203 00:13:37,559 --> 00:13:40,200 Speaker 4: And so if you look at products that we shipped 204 00:13:40,400 --> 00:13:44,200 Speaker 4: amper A one hundred we shipped six years ago. But 205 00:13:44,280 --> 00:13:47,160 Speaker 4: because we're continuing, our installed bas is so large, our 206 00:13:47,200 --> 00:13:51,920 Speaker 4: diversity is so great, we could continuously update our software 207 00:13:52,440 --> 00:13:54,960 Speaker 4: bring value to our customers on the one hand, but 208 00:13:55,040 --> 00:13:59,640 Speaker 4: because our versatility is so great based on the capability 209 00:13:59,679 --> 00:14:02,160 Speaker 4: they need, they could use our GPUs for a very 210 00:14:02,240 --> 00:14:05,000 Speaker 4: very long time. Now, remember A one hundred and six 211 00:14:05,160 --> 00:14:08,640 Speaker 4: years old. However, it is still an order of a 212 00:14:08,679 --> 00:14:12,240 Speaker 4: magnitude faster than any CPU could put the bear, so 213 00:14:12,360 --> 00:14:14,760 Speaker 4: it is still the best computer. It is still the 214 00:14:14,800 --> 00:14:17,920 Speaker 4: best processor for much of the workload in the cloud, 215 00:14:18,480 --> 00:14:24,440 Speaker 4: and most people misunderstand that because unlike US, most accelerators 216 00:14:25,000 --> 00:14:28,720 Speaker 4: are kind of singular use, because they don't have diversity, 217 00:14:29,000 --> 00:14:31,800 Speaker 4: because they don't have versatility, because they're not great at 218 00:14:31,840 --> 00:14:35,720 Speaker 4: every phase of AI. Once they're used for whatever they 219 00:14:35,720 --> 00:14:39,000 Speaker 4: were designed to do, their value falls off a cliff. 220 00:14:39,280 --> 00:14:42,120 Speaker 4: That is not true with Nvidio Jensen. 221 00:14:42,160 --> 00:14:45,520 Speaker 3: My final question is a point of clarification, if I may. 222 00:14:45,600 --> 00:14:48,800 Speaker 3: You were asked on the call about content and in 223 00:14:48,920 --> 00:14:52,520 Speaker 3: video's contribution to any given piece of AI infrastructure, and 224 00:14:52,600 --> 00:14:55,320 Speaker 3: what you said was Hopper around twenty to twenty five 225 00:14:55,800 --> 00:15:00,360 Speaker 3: black COO about thirty With those figures billions of dollars 226 00:15:00,640 --> 00:15:04,480 Speaker 3: in dollar terms on a one gigawa data center, are 227 00:15:04,480 --> 00:15:06,800 Speaker 3: you talking about percentages of total cost? 228 00:15:10,280 --> 00:15:10,520 Speaker 1: Oh? 229 00:15:10,680 --> 00:15:15,800 Speaker 4: Thank you, billions of dollars, billions of dollars. Yeah, And 230 00:15:15,880 --> 00:15:20,600 Speaker 4: so for our vera Rubens system, a one gigawak data 231 00:15:20,640 --> 00:15:23,480 Speaker 4: center is probably something along the lines of fifty to 232 00:15:23,520 --> 00:15:27,320 Speaker 4: fifty five, and Video's contribution is probably about thirty five 233 00:15:27,360 --> 00:15:28,320 Speaker 4: of that. 234 00:15:28,320 --> 00:15:31,600 Speaker 2: That was in Nvidia CEO Jensen Wong speaking to Bloomberg's 235 00:15:31,720 --> 00:15:34,280 Speaker 2: Ed Ludlow, bringing it to you here on the Daybreak 236 00:15:34,280 --> 00:15:44,440 Speaker 2: Asia podcast. Welcome back to the Daybreak Asia podcast. I'm 237 00:15:44,480 --> 00:15:48,560 Speaker 2: Doug Prisoner. On Wednesday, President Trump renewed his attacks against 238 00:15:48,560 --> 00:15:51,240 Speaker 2: FED Shair J. Powell. Trump said he would love to 239 00:15:51,360 --> 00:15:54,200 Speaker 2: fire him for not lowering interest rates as much as 240 00:15:54,200 --> 00:15:57,560 Speaker 2: the President would like, and Trump suggested he would fire 241 00:15:57,600 --> 00:16:01,200 Speaker 2: Scott Besant if the Treasury Secretary doesn't help secure lower 242 00:16:01,280 --> 00:16:05,400 Speaker 2: interest rates well. Importantly, the Treasury Secretary has no influence 243 00:16:05,480 --> 00:16:09,200 Speaker 2: on the FED, although Best is leading the selection process 244 00:16:09,240 --> 00:16:12,120 Speaker 2: for the next FED share to replace Powell when his 245 00:16:12,240 --> 00:16:15,400 Speaker 2: term expires in May twenty twenty six. Also today we 246 00:16:15,440 --> 00:16:17,680 Speaker 2: got minutes from the last FED meeting, and they were 247 00:16:17,720 --> 00:16:22,400 Speaker 2: a little hawkish. Policymakers were divided. Several were against lowering 248 00:16:22,480 --> 00:16:24,960 Speaker 2: the Fed's benchmark rate last month, and many said it 249 00:16:25,000 --> 00:16:27,840 Speaker 2: would likely be appropriate to keep rate steady for the 250 00:16:27,840 --> 00:16:31,320 Speaker 2: remainder of this year. So one of the hallmarks of 251 00:16:31,400 --> 00:16:33,960 Speaker 2: the US session was this idea that we have to 252 00:16:34,000 --> 00:16:37,520 Speaker 2: reduce bets on a December rate cut. For a closer look, now, 253 00:16:37,560 --> 00:16:39,960 Speaker 2: I'm joined by Clayton Trick. He is head of portfolio 254 00:16:40,080 --> 00:16:43,880 Speaker 2: management at angel Oak Capital Advisors. Clayton is on the 255 00:16:43,880 --> 00:16:46,560 Speaker 2: line from Atlanta, Georgia. Thank you, sir for making time 256 00:16:46,560 --> 00:16:48,800 Speaker 2: to chat with me. So I'm looking at the swaps 257 00:16:48,840 --> 00:16:51,960 Speaker 2: market pricing right now. Thirty percent probability that we're going 258 00:16:52,000 --> 00:16:55,160 Speaker 2: to get a twenty five basis point rate cut in December. 259 00:16:55,240 --> 00:16:56,880 Speaker 2: Is that how you see things right now? 260 00:16:57,640 --> 00:17:02,440 Speaker 5: Yes, we do. We feel that the press conference right 261 00:17:02,480 --> 00:17:05,040 Speaker 5: after the last meeting, you saw Chim and Pale really 262 00:17:05,080 --> 00:17:07,960 Speaker 5: push against the market. You know, before that you had 263 00:17:08,000 --> 00:17:10,160 Speaker 5: one hundred percent, you know, mere one hundred percent chance 264 00:17:10,200 --> 00:17:12,960 Speaker 5: of a rate cut for the December meeting, and he 265 00:17:13,040 --> 00:17:15,280 Speaker 5: really wanted to push against the market and really keep 266 00:17:15,280 --> 00:17:20,400 Speaker 5: the optionality open. You know. After that we saw continuous 267 00:17:20,400 --> 00:17:24,439 Speaker 5: public appearances from more hawkish and centrist type members, you know, 268 00:17:24,480 --> 00:17:27,560 Speaker 5: thinking you of a FED presidence like Schmid, Logan, Hammock, 269 00:17:27,600 --> 00:17:30,119 Speaker 5: as well as centrists like Bostick and Collins that really 270 00:17:30,359 --> 00:17:33,679 Speaker 5: kind of reiterated their apprehension toward a December cut. So 271 00:17:34,200 --> 00:17:37,080 Speaker 5: not surprising the market is pricing in a much lower 272 00:17:37,119 --> 00:17:39,879 Speaker 5: probability of a cut. But that being said, we haven't 273 00:17:39,920 --> 00:17:42,560 Speaker 5: had a lot of economic data obviously the last couple 274 00:17:42,960 --> 00:17:45,640 Speaker 5: weeks with the government shutdown, so things could definitely change 275 00:17:45,680 --> 00:17:46,600 Speaker 5: here in the coming weeks. 276 00:17:46,840 --> 00:17:49,119 Speaker 2: We also heard today from Kevin Hassett to the Director 277 00:17:49,160 --> 00:17:51,960 Speaker 2: of the National Economic Council, and Hassett, as we know, 278 00:17:52,000 --> 00:17:54,000 Speaker 2: as one of the finals to become the next FED 279 00:17:54,040 --> 00:17:57,800 Speaker 2: share I found it interesting that today he was discussing 280 00:17:57,880 --> 00:18:00,840 Speaker 2: consumer price pressures and saying that they may not be 281 00:18:00,920 --> 00:18:04,720 Speaker 2: fully tamed up until this point when I've heard Hasset speak, 282 00:18:05,119 --> 00:18:08,080 Speaker 2: there's been a dubbish quality today that seemed to tilt 283 00:18:08,160 --> 00:18:11,239 Speaker 2: a little on the hawkish side. So Clayton, can you 284 00:18:11,280 --> 00:18:14,120 Speaker 2: give me your sense of how you view the inflation 285 00:18:14,200 --> 00:18:15,000 Speaker 2: story right now? 286 00:18:16,359 --> 00:18:19,200 Speaker 5: Yeah, we have continued to believe that, you know, core 287 00:18:19,320 --> 00:18:21,720 Speaker 5: goods inflation was going to put a little bit of 288 00:18:21,760 --> 00:18:24,640 Speaker 5: upward pressure with tariffs, and it was going to take 289 00:18:24,720 --> 00:18:29,600 Speaker 5: some time. That being said, thirty five percent of core PCE, 290 00:18:30,640 --> 00:18:33,399 Speaker 5: thirty five percent of core CPI is shelter, and that 291 00:18:33,480 --> 00:18:36,000 Speaker 5: has continued to decelerate. That's what we've got in the 292 00:18:36,040 --> 00:18:39,840 Speaker 5: most recent number, the figure that we got within CPI 293 00:18:39,960 --> 00:18:43,520 Speaker 5: during the shutdown, and we expect home prices to continue 294 00:18:43,560 --> 00:18:46,840 Speaker 5: to decelebrate or fall, which will continue to bring down 295 00:18:47,200 --> 00:18:51,360 Speaker 5: the shelter component of inflation. On the good side, that 296 00:18:51,359 --> 00:18:53,480 Speaker 5: that's going to take a lot longer to flow through. 297 00:18:53,920 --> 00:18:56,119 Speaker 5: That being said, we're already getting some rhetoric from from 298 00:18:56,240 --> 00:18:58,879 Speaker 5: DC talking about how they may be rolling back some 299 00:18:58,960 --> 00:19:03,000 Speaker 5: of the tariffs on specific things that are having to 300 00:19:03,040 --> 00:19:06,560 Speaker 5: do with consumer spending. So we could see kind of 301 00:19:06,560 --> 00:19:11,359 Speaker 5: a slight rollback of tariffs into next year. Shelter is 302 00:19:11,359 --> 00:19:14,800 Speaker 5: going to continue to put downward pressure on core inflation, 303 00:19:14,960 --> 00:19:17,199 Speaker 5: and so we don't think inflation is really going to 304 00:19:17,280 --> 00:19:20,439 Speaker 5: rise much from here, but could see remaining in the 305 00:19:20,520 --> 00:19:24,840 Speaker 5: high twos. So FED funds now in the high threes. 306 00:19:24,960 --> 00:19:26,640 Speaker 5: We think there is room for them to be looking 307 00:19:26,680 --> 00:19:29,320 Speaker 5: to cut but I'm not surprised you're getting a little 308 00:19:29,359 --> 00:19:31,440 Speaker 5: bit of pushback in the most recent comments. 309 00:19:31,480 --> 00:19:34,439 Speaker 2: So, if you're expecting some more easing and you're not 310 00:19:34,560 --> 00:19:37,600 Speaker 2: expecting inflation to be a problem, what's your investment strategy 311 00:19:37,680 --> 00:19:38,080 Speaker 2: right now? 312 00:19:39,320 --> 00:19:42,680 Speaker 5: Yeah, so there are significant opportunities, especially with recent and 313 00:19:42,680 --> 00:19:45,240 Speaker 5: the recent pullback, we've been keeping some dry powder on 314 00:19:45,280 --> 00:19:48,800 Speaker 5: the sidelines, really looking to step into areas like agency 315 00:19:49,040 --> 00:19:52,000 Speaker 5: and non agency mortgage backed securities. There's been a lot 316 00:19:52,000 --> 00:19:55,600 Speaker 5: of comments recently regarding how corporate credit is on the 317 00:19:55,640 --> 00:19:58,040 Speaker 5: tighter end of the range. You know, really that market's 318 00:19:58,080 --> 00:20:00,919 Speaker 5: highly correlated to where equity valuations are. But outside of 319 00:20:00,960 --> 00:20:04,320 Speaker 5: corporate credit, thinking of the securitized bond market, that areas 320 00:20:04,440 --> 00:20:08,359 Speaker 5: is still actually really wide compared to corporate spreads thinking 321 00:20:08,440 --> 00:20:10,320 Speaker 5: back to twenty twenty one and spreads, we're a lot 322 00:20:10,400 --> 00:20:15,160 Speaker 5: tighter across the market. You're significantly wider in securitized bonds 323 00:20:15,240 --> 00:20:18,119 Speaker 5: versus investment grade and higher corporate. So we see that 324 00:20:18,160 --> 00:20:20,520 Speaker 5: as an attracted area of the market. And from a 325 00:20:20,560 --> 00:20:23,600 Speaker 5: credit perspective, the housing market we view is actually still 326 00:20:23,640 --> 00:20:26,480 Speaker 5: in very good shape, and so mortgage bond should huddle 327 00:20:26,600 --> 00:20:30,560 Speaker 5: pulled up well in either continued muddling along the economy 328 00:20:31,000 --> 00:20:33,359 Speaker 5: or you know, an environment where the FED needs to 329 00:20:33,400 --> 00:20:36,160 Speaker 5: actually maybe be cutting more because the layer market is 330 00:20:36,440 --> 00:20:37,359 Speaker 5: turning in the other direction. 331 00:20:37,480 --> 00:20:39,679 Speaker 2: What about on the equity side, Clayton, I'm curious to 332 00:20:39,920 --> 00:20:42,399 Speaker 2: know where you're focused in the equity space. 333 00:20:43,920 --> 00:20:46,520 Speaker 5: Yeah, so we're continuing to watch obviously the moves impact 334 00:20:46,520 --> 00:20:50,360 Speaker 5: that's very important for the coming growth and data centers 335 00:20:50,440 --> 00:20:54,080 Speaker 5: and anything around AI led cap X. That being said, 336 00:20:54,280 --> 00:20:56,479 Speaker 5: we think it's actually very notable to continue to be 337 00:20:56,600 --> 00:21:01,800 Speaker 5: watching performance of public BDCs. Tinded to see discussions and 338 00:21:01,840 --> 00:21:04,919 Speaker 5: concerns around middle market lending about the growth and private 339 00:21:04,960 --> 00:21:09,639 Speaker 5: credit public market publicly traded BDCs is an area that 340 00:21:09,640 --> 00:21:13,240 Speaker 5: we can continue to get insight into that area of 341 00:21:13,280 --> 00:21:17,240 Speaker 5: the market. We've seen that really decouple from SMP and 342 00:21:17,320 --> 00:21:20,360 Speaker 5: tech performance really since the second quarter, and so we're 343 00:21:20,359 --> 00:21:23,119 Speaker 5: really keeping a keen focus heading into the year to 344 00:21:23,160 --> 00:21:27,280 Speaker 5: see where those the valuations within that market looks heading 345 00:21:27,320 --> 00:21:28,160 Speaker 5: into twenty twenty six. 346 00:21:28,359 --> 00:21:33,520 Speaker 2: And what about opportunities offshore? Are you finding any. 347 00:21:33,359 --> 00:21:36,480 Speaker 5: We definitely think of vests should be thinking globally right now. 348 00:21:38,160 --> 00:21:41,200 Speaker 5: US acceptionalism in the last few years has really stuck out, 349 00:21:41,200 --> 00:21:44,159 Speaker 5: and now you're seeing global opportunities coming back from an 350 00:21:44,200 --> 00:21:46,480 Speaker 5: equity perspective. We think that's still going to be the case, 351 00:21:46,520 --> 00:21:49,800 Speaker 5: and so you know, we're we're recommending investors really focus 352 00:21:50,040 --> 00:21:53,919 Speaker 5: on global diversification, not just US equities heading into next year. 353 00:21:53,960 --> 00:21:55,720 Speaker 2: All right, Clayton, we'll leave it there. Thank you so much. 354 00:21:55,760 --> 00:21:59,679 Speaker 2: Clayton Trick, head of portfolio management at Angel Oak Capital Advisors, 355 00:22:00,119 --> 00:22:02,400 Speaker 2: on the line from Atlanta, Georgia, here on the Daybreak 356 00:22:02,440 --> 00:22:07,520 Speaker 2: Asia Podcast. Thanks for listening to today's episode of the 357 00:22:07,560 --> 00:22:11,760 Speaker 2: Bloomberg Daybreak Asia Edition podcast. Each weekday, we look at 358 00:22:11,760 --> 00:22:16,240 Speaker 2: the story shaping markets, finance, and geopolitics in the Asia Pacific. 359 00:22:16,480 --> 00:22:19,760 Speaker 2: You can find us on Apple, Spotify, the Bloomberg Podcast 360 00:22:19,840 --> 00:22:23,200 Speaker 2: YouTube channel, or anywhere else you listen. Join us again 361 00:22:23,240 --> 00:22:26,520 Speaker 2: tomorrow for insight on the market moves from Hong Kong 362 00:22:26,640 --> 00:22:31,040 Speaker 2: to Singapore and Australia. I'm Doug Prisner, and this is 363 00:22:31,080 --> 00:22:31,639 Speaker 2: Bloomberg