1 00:00:02,759 --> 00:00:07,240 Speaker 1: Bloomberg Audio Studios, podcasts, radio news. 2 00:00:15,120 --> 00:00:18,640 Speaker 2: Welcome to our global audience across Bloomberg television and radio. 3 00:00:19,000 --> 00:00:22,759 Speaker 2: We're joined by AMD's CEO, Lisa Sue. And it was 4 00:00:22,760 --> 00:00:25,480 Speaker 2: such an interesting quarter to look back at data center 5 00:00:25,520 --> 00:00:30,360 Speaker 2: in particular CPU strength, not just accelerators, strong AI outlook 6 00:00:30,360 --> 00:00:34,640 Speaker 2: on accelerators, gaming PC and then some concern about the 7 00:00:34,680 --> 00:00:37,440 Speaker 2: future of the China business. But Caroline and I Lisa 8 00:00:37,479 --> 00:00:40,440 Speaker 2: have talks for quite a while now about AMD as 9 00:00:40,479 --> 00:00:43,400 Speaker 2: the best performing chip stock so far this year. I 10 00:00:43,440 --> 00:00:46,120 Speaker 2: wondered if we start by just asking what in the 11 00:00:46,240 --> 00:00:50,320 Speaker 2: quarter changed for AMD, what the kind of biggest move 12 00:00:50,400 --> 00:00:51,680 Speaker 2: forward was, do you think. 13 00:00:52,520 --> 00:00:55,320 Speaker 3: Yeah, absolutely so, first of all, and Caroline, great to 14 00:00:55,360 --> 00:00:58,400 Speaker 3: be here with you. We always look at these things, 15 00:00:58,440 --> 00:01:01,760 Speaker 3: and so when we have a business where all of 16 00:01:01,800 --> 00:01:05,520 Speaker 3: our businesses are actually performing extremely well, it's a good 17 00:01:05,760 --> 00:01:07,200 Speaker 3: it's a good place to be. So we had a 18 00:01:07,319 --> 00:01:09,640 Speaker 3: very strong first half of the year, you know, second 19 00:01:09,720 --> 00:01:11,600 Speaker 3: quarter up thirty two percent. 20 00:01:11,360 --> 00:01:12,000 Speaker 4: Year over year. 21 00:01:12,120 --> 00:01:15,040 Speaker 3: We're guiding to a third quarter you know, up twenty 22 00:01:15,080 --> 00:01:17,880 Speaker 3: eight percent. And underneath that what you see is, you know, 23 00:01:17,920 --> 00:01:21,440 Speaker 3: first of all, data center business is doing extremely well. 24 00:01:21,480 --> 00:01:25,160 Speaker 3: Our server CPUs are continuing to gain share in cloud 25 00:01:25,240 --> 00:01:27,800 Speaker 3: and in enterprise. One of the things that we're seeing 26 00:01:27,840 --> 00:01:31,520 Speaker 3: with AI is the AI investments from the largest hyperscalers 27 00:01:31,600 --> 00:01:35,600 Speaker 3: are actually pulling you know, both GPU and CPU revenue, you. 28 00:01:35,560 --> 00:01:37,200 Speaker 4: Know, which is good for us overall. 29 00:01:37,240 --> 00:01:39,959 Speaker 3: You know, agentic AI actually requires lots and lots of 30 00:01:40,000 --> 00:01:44,120 Speaker 3: compute going forward. We're also seeing strength in you know, 31 00:01:44,200 --> 00:01:48,600 Speaker 3: PCs as well as gaming. Our products are extremely well positioned, 32 00:01:48,920 --> 00:01:52,320 Speaker 3: whether you're talking about you know, consumer or commercial. And 33 00:01:52,360 --> 00:01:55,360 Speaker 3: then we're also seeing you know, some improvement in the 34 00:01:55,400 --> 00:01:57,840 Speaker 3: embedded side of our business as you know, that is 35 00:01:57,880 --> 00:02:00,440 Speaker 3: also you know, going to I would say, a return 36 00:02:00,480 --> 00:02:02,080 Speaker 3: to growth in the second half of the year. So 37 00:02:02,600 --> 00:02:05,160 Speaker 3: we've seen a lot of positive signals over the last 38 00:02:05,240 --> 00:02:07,360 Speaker 3: ninety days in terms of, you know, what the market 39 00:02:08,080 --> 00:02:11,600 Speaker 3: needs from computing and sort of the investment and things. 40 00:02:11,639 --> 00:02:11,800 Speaker 2: You know. 41 00:02:11,840 --> 00:02:14,680 Speaker 3: There are some questions about China, of course, which you know, 42 00:02:14,680 --> 00:02:15,799 Speaker 3: we can certainly talk about. 43 00:02:16,840 --> 00:02:21,239 Speaker 2: Well, let's talk first about the AI Accelerator outlook, because 44 00:02:21,280 --> 00:02:24,120 Speaker 2: actually from analysts to investors to the develop a community, 45 00:02:24,320 --> 00:02:26,120 Speaker 2: when we say that you're coming on the show, we 46 00:02:26,200 --> 00:02:29,240 Speaker 2: get questions from all quarters. You had said that the 47 00:02:29,280 --> 00:02:32,160 Speaker 2: AI Accelerator business will grow to the tens of billions. 48 00:02:32,440 --> 00:02:34,160 Speaker 2: And what I'm kind of seeing is people just want 49 00:02:34,160 --> 00:02:37,000 Speaker 2: granularity from me, Lisa a little bit like when does 50 00:02:37,040 --> 00:02:38,959 Speaker 2: that happen? And when does it happen? And you talked 51 00:02:38,960 --> 00:02:42,760 Speaker 2: about the hyperscalers, but what's the growth pathway to tens 52 00:02:42,760 --> 00:02:44,840 Speaker 2: of billions in accelerator revenue? 53 00:02:45,639 --> 00:02:45,919 Speaker 4: Yeah? 54 00:02:45,960 --> 00:02:49,359 Speaker 3: Absolutely, ed, So let me give you a few important markers. 55 00:02:49,440 --> 00:02:52,080 Speaker 3: So what we said is the second half of the year, 56 00:02:52,520 --> 00:02:55,560 Speaker 3: our growth would be primarily driven in the data center 57 00:02:55,600 --> 00:02:59,880 Speaker 3: by accelerators. We've launched a new product just in ju 58 00:03:00,840 --> 00:03:04,919 Speaker 3: I three fifty five product. It's extremely competitive. We really 59 00:03:05,040 --> 00:03:07,200 Speaker 3: like how we stack up in terms of total cost 60 00:03:07,280 --> 00:03:11,040 Speaker 3: of ownership for inferencing and training workloads. Customers really like 61 00:03:11,080 --> 00:03:14,680 Speaker 3: that product. That's driving some of our second half growth, 62 00:03:14,680 --> 00:03:17,320 Speaker 3: and certainly when we talk about our sequential growth into 63 00:03:17,400 --> 00:03:19,760 Speaker 3: Q three, that's being primarily driven by. 64 00:03:19,560 --> 00:03:21,040 Speaker 4: That accelerator capability. 65 00:03:21,440 --> 00:03:23,800 Speaker 3: And now when you extend forward, you know, I've said 66 00:03:23,880 --> 00:03:28,040 Speaker 3: that the AI TAM for accelerators and data center will 67 00:03:28,040 --> 00:03:31,040 Speaker 3: be over five hundred billion over the next couple of years. 68 00:03:31,240 --> 00:03:33,840 Speaker 3: You know, we expect to get a large portion of 69 00:03:33,840 --> 00:03:36,840 Speaker 3: that new accelerator TAM and that's how we get to 70 00:03:36,920 --> 00:03:40,640 Speaker 3: tens of billions of dollars. Very key is also you know, 71 00:03:40,640 --> 00:03:43,240 Speaker 3: we've accelerated our roadmap and so we are on an 72 00:03:43,320 --> 00:03:46,400 Speaker 3: annual cadence, and next year we'll have yet a new 73 00:03:46,440 --> 00:03:50,040 Speaker 3: capability with our MI four hundred series, which will bring 74 00:03:50,080 --> 00:03:53,720 Speaker 3: full rack level solutions, which will be another giant step 75 00:03:53,760 --> 00:03:56,280 Speaker 3: forward in terms of capability. 76 00:03:56,120 --> 00:03:57,960 Speaker 4: For you know, AI solutions. 77 00:03:58,000 --> 00:04:00,600 Speaker 3: So I think that's the roadmap and path for the 78 00:04:00,640 --> 00:04:04,240 Speaker 3: next couple of years. We're really excited about the traction. 79 00:04:04,400 --> 00:04:07,320 Speaker 3: We're getting lots of customer validation saying hey, you're on 80 00:04:07,480 --> 00:04:10,680 Speaker 3: absolutely the right path, and you know we're making you know, 81 00:04:10,760 --> 00:04:12,360 Speaker 3: strong progress towards those goals. 82 00:04:12,880 --> 00:04:16,599 Speaker 1: Lisa, the granularity there was demanded time and time again 83 00:04:16,680 --> 00:04:19,880 Speaker 1: on that earning score with analysts was around China though, 84 00:04:19,920 --> 00:04:21,840 Speaker 1: And I know it's so hard to give because in 85 00:04:21,880 --> 00:04:24,240 Speaker 1: many ways, as m I threeh eight, it's depending on 86 00:04:24,279 --> 00:04:27,280 Speaker 1: the licenses from the US government. How are those discussions 87 00:04:27,320 --> 00:04:29,200 Speaker 1: going with the US government. How quickly do you think 88 00:04:29,200 --> 00:04:30,440 Speaker 1: they can get through the backlog? 89 00:04:31,279 --> 00:04:32,600 Speaker 4: Yeah, Caroline, definitely. 90 00:04:32,680 --> 00:04:35,359 Speaker 3: Look, you know, I know people always want precision, and 91 00:04:35,400 --> 00:04:38,960 Speaker 3: what I will give you is exactly how things are 92 00:04:39,000 --> 00:04:42,040 Speaker 3: playing out from our standpoint, I think we've seen an 93 00:04:42,040 --> 00:04:44,720 Speaker 3: improvement over the last ninety days. You know, ninety days ago, 94 00:04:45,360 --> 00:04:47,320 Speaker 3: you know, we did not expect to believe to ship, 95 00:04:47,760 --> 00:04:49,600 Speaker 3: to be able to ship to China because of some 96 00:04:49,680 --> 00:04:54,120 Speaker 3: of the regulations. I think this administration, you know, the 97 00:04:54,160 --> 00:04:56,680 Speaker 3: Department of Commerce, the government has actually been very open 98 00:04:57,440 --> 00:05:00,880 Speaker 3: to trying to find the right balance between national security 99 00:05:01,120 --> 00:05:06,920 Speaker 3: and ensuring that we have AI USAI technologies proliferated across 100 00:05:07,000 --> 00:05:07,400 Speaker 3: the world. 101 00:05:07,440 --> 00:05:09,039 Speaker 4: So we think that's a great balance. 102 00:05:09,640 --> 00:05:12,120 Speaker 3: We now know that we have a number of licenses 103 00:05:12,200 --> 00:05:15,480 Speaker 3: that are under review. We've been given good indications that. 104 00:05:15,360 --> 00:05:17,880 Speaker 4: Those are moving through the review process. 105 00:05:17,839 --> 00:05:20,719 Speaker 3: And you know, we will certainly inform everyone when the 106 00:05:20,760 --> 00:05:23,599 Speaker 3: licenses are granted. But given that it's hard to predict 107 00:05:23,640 --> 00:05:26,240 Speaker 3: exact timing. Just given all of the things that are 108 00:05:26,279 --> 00:05:28,320 Speaker 3: in front of the government at the moment, we thought 109 00:05:28,360 --> 00:05:30,560 Speaker 3: the right thing to do right now is just say, hey, 110 00:05:31,320 --> 00:05:34,719 Speaker 3: let's not include that in the third quarter revenue. But 111 00:05:34,880 --> 00:05:38,159 Speaker 3: even with that, we're growing twenty eight percent year over year, 112 00:05:38,200 --> 00:05:41,000 Speaker 3: which is fantastic growth rate. And if you asked me, 113 00:05:41,400 --> 00:05:43,520 Speaker 3: you know, what we've learned in the last ninety days, 114 00:05:43,520 --> 00:05:45,760 Speaker 3: We've learned that the demand is even stronger in the 115 00:05:45,800 --> 00:05:49,080 Speaker 3: second half of the year. Then we necessarily thought maybe 116 00:05:49,080 --> 00:05:50,160 Speaker 3: just a few months ago. 117 00:05:50,120 --> 00:05:53,320 Speaker 1: And analysts really cooperated and thought it was right that 118 00:05:53,360 --> 00:05:55,920 Speaker 1: we should see such caution perhaps and not show up 119 00:05:55,920 --> 00:05:58,880 Speaker 1: in the numbers. But Lisa, I'm interested in the inventory 120 00:05:58,920 --> 00:06:00,880 Speaker 1: that you had been very clear about the eight hundred 121 00:06:00,920 --> 00:06:03,640 Speaker 1: million dollar knock on the fact that you couldn't access 122 00:06:03,720 --> 00:06:05,840 Speaker 1: China for a while. I know that most of those 123 00:06:05,880 --> 00:06:08,680 Speaker 1: manufacturing hadn't been complete, but do you think you can 124 00:06:08,839 --> 00:06:11,240 Speaker 1: unwind that eight hundred million how much do you think 125 00:06:11,240 --> 00:06:12,800 Speaker 1: can you bring that back to bear? 126 00:06:13,960 --> 00:06:18,159 Speaker 3: Well, we certainly expect that once licenses are approved that 127 00:06:18,240 --> 00:06:22,719 Speaker 3: we will restart our supply chain and get those in place. 128 00:06:23,360 --> 00:06:24,960 Speaker 3: We do have, you know, a bit of time that 129 00:06:25,000 --> 00:06:26,960 Speaker 3: it takes to complete those, but we would expect to 130 00:06:27,000 --> 00:06:29,560 Speaker 3: be able, you know, to ship some of those products 131 00:06:29,600 --> 00:06:32,520 Speaker 3: as licenses are approved. And you know, again the exact 132 00:06:32,560 --> 00:06:36,400 Speaker 3: timing will depend on when licenses are approved. But I 133 00:06:36,480 --> 00:06:38,880 Speaker 3: again would hope that we don't get caught up in 134 00:06:39,360 --> 00:06:43,040 Speaker 3: you know, something that I would say is moving actually 135 00:06:43,080 --> 00:06:45,760 Speaker 3: in the right direction, and really see like the overall 136 00:06:45,839 --> 00:06:48,560 Speaker 3: business is doing extremely well. Right when I look at 137 00:06:48,680 --> 00:06:51,360 Speaker 3: data center growth. When I look at client and gaming growth, 138 00:06:51,640 --> 00:06:53,840 Speaker 3: and really the return to growth in the embedded those 139 00:06:53,839 --> 00:06:58,320 Speaker 3: are the key aspects to really understand about where the 140 00:06:58,320 --> 00:06:59,240 Speaker 3: business is today. 141 00:07:00,480 --> 00:07:03,600 Speaker 2: Lisa. The final question that we have on China, if 142 00:07:03,640 --> 00:07:06,400 Speaker 2: I may, is something that we've also discussed quite often 143 00:07:06,440 --> 00:07:09,920 Speaker 2: with Nvideo and Jensen One, which is the idea that 144 00:07:10,600 --> 00:07:14,720 Speaker 2: in the interim period you just outlined, China's domestic chip 145 00:07:14,760 --> 00:07:18,520 Speaker 2: makers have made some progress on their own accelerators. Does 146 00:07:18,560 --> 00:07:20,960 Speaker 2: a m D make an assessment of that of how 147 00:07:21,080 --> 00:07:27,160 Speaker 2: performance a comparable Huawei or other Chinese accelerator is relative 148 00:07:27,200 --> 00:07:28,960 Speaker 2: to them? I three hundred family. 149 00:07:30,080 --> 00:07:32,640 Speaker 3: And of course I mean long it's a very competitive 150 00:07:32,680 --> 00:07:35,520 Speaker 3: market out there. At the end of the day, everybody 151 00:07:35,560 --> 00:07:39,400 Speaker 3: wants AI computing, like AI computing is the foundation for 152 00:07:39,640 --> 00:07:42,040 Speaker 3: you know, all the great things that we know that 153 00:07:42,080 --> 00:07:45,520 Speaker 3: AI can add to, you know, businesses and you know 154 00:07:45,560 --> 00:07:49,400 Speaker 3: sort of the overall capabilities. So yes, we're always looking 155 00:07:49,440 --> 00:07:52,800 Speaker 3: at the competitive environment. That being the case, you know, 156 00:07:52,840 --> 00:07:56,440 Speaker 3: I think we are well positioned overall. Our roadmap for 157 00:07:56,600 --> 00:07:58,920 Speaker 3: the rest of the world is very strong, and we 158 00:07:58,960 --> 00:08:01,160 Speaker 3: think it is just getting strong longer as we go forward, 159 00:08:01,400 --> 00:08:03,400 Speaker 3: and as it relates to China. It's something that we 160 00:08:03,480 --> 00:08:05,760 Speaker 3: have to work through with the administration, but as I said, 161 00:08:05,800 --> 00:08:09,840 Speaker 3: we've had very close conversations and we're making good progress there. 162 00:08:09,880 --> 00:08:13,120 Speaker 3: So from that standpoint, you know, I think the overall 163 00:08:13,160 --> 00:08:16,480 Speaker 3: competitiveness of our AI roadmap has never been stronger, and 164 00:08:16,520 --> 00:08:19,720 Speaker 3: we're excited about what we can deliver across you know, 165 00:08:19,800 --> 00:08:23,160 Speaker 3: AI GPUs as well as you know, our our CPU 166 00:08:23,240 --> 00:08:26,360 Speaker 3: franchise and all of the rest of our portfolio. 167 00:08:27,600 --> 00:08:31,080 Speaker 2: This is Bloomberg Tech Live on Bloomberg Television and Bloomberg Radio, 168 00:08:31,120 --> 00:08:34,280 Speaker 2: and we're speaking with a m D CEO, Lisa Sue 169 00:08:34,760 --> 00:08:40,200 Speaker 2: Strong in PC strong in server, particularly CPU. Is that 170 00:08:40,360 --> 00:08:43,800 Speaker 2: an a m D capturing market share story or is 171 00:08:43,840 --> 00:08:48,640 Speaker 2: that just a rebound in demand generally story? Lisa Well, I. 172 00:08:48,679 --> 00:08:49,400 Speaker 4: Think it's both. 173 00:08:49,600 --> 00:08:49,680 Speaker 2: Ed. 174 00:08:49,800 --> 00:08:53,520 Speaker 3: I think the demand is is good. I think the 175 00:08:53,559 --> 00:08:58,880 Speaker 3: demand patterns are better. But clearly we're very very competitive 176 00:08:58,920 --> 00:09:02,640 Speaker 3: with our products. I think we leadership CPUs in both 177 00:09:02,679 --> 00:09:07,160 Speaker 3: server and client. We've shown significant traction in cloud as 178 00:09:07,240 --> 00:09:09,800 Speaker 3: well as enterprise, and I think going forward you're going 179 00:09:09,880 --> 00:09:12,800 Speaker 3: to see, you know, enterprise customers want the best solution 180 00:09:12,920 --> 00:09:16,440 Speaker 3: out there, and that is you know, a MD for computing. 181 00:09:16,640 --> 00:09:21,120 Speaker 1: And gaming NISA so strong. I'm interested into the nuance 182 00:09:21,280 --> 00:09:23,240 Speaker 1: of pull forward because you said on the call that 183 00:09:23,280 --> 00:09:25,640 Speaker 1: you didn't see a whole lot of pull forward. Are 184 00:09:25,640 --> 00:09:28,280 Speaker 1: people trying to get ahead of tarifs and price increases, 185 00:09:28,480 --> 00:09:29,560 Speaker 1: But did you see any. 186 00:09:30,880 --> 00:09:32,640 Speaker 4: You know, very little, Caroline. 187 00:09:32,720 --> 00:09:36,080 Speaker 3: I think what we look at mostly is not just 188 00:09:36,160 --> 00:09:40,480 Speaker 3: what we're selling in to customers, but we actually look 189 00:09:40,520 --> 00:09:43,840 Speaker 3: at what's being sold out at end customers, and what 190 00:09:43,880 --> 00:09:47,400 Speaker 3: we're seeing being you know, really transferred to end customers 191 00:09:47,559 --> 00:09:51,560 Speaker 3: is good demand. I mean, people are refreshing their data centers, 192 00:09:51,880 --> 00:09:53,960 Speaker 3: which is very positive. Right We're in a place where 193 00:09:54,000 --> 00:09:57,960 Speaker 3: computing is important, and so we're seeing strong refresh cycles 194 00:09:58,320 --> 00:10:01,280 Speaker 3: on the data center side. We're seeing strong pull through 195 00:10:02,040 --> 00:10:06,079 Speaker 3: of our of our solutions in the in the enterprise, 196 00:10:06,520 --> 00:10:09,920 Speaker 3: in PC, and then from a gaming standpoint, again, we 197 00:10:09,960 --> 00:10:12,840 Speaker 3: have a very strong product cycle. So you know, there's 198 00:10:12,920 --> 00:10:16,240 Speaker 3: it's always hard to tell exactly what the impact of 199 00:10:16,400 --> 00:10:19,400 Speaker 3: the current tariffs are, but I would say that that's 200 00:10:19,440 --> 00:10:22,000 Speaker 3: the smaller part of the impact on our business. The 201 00:10:22,120 --> 00:10:26,360 Speaker 3: larger part is just strong products, you know, very good 202 00:10:26,440 --> 00:10:29,800 Speaker 3: traction from customers and looking at a stronger second half. 203 00:10:29,640 --> 00:10:31,880 Speaker 1: Of the year, a stronger second half of the year 204 00:10:31,960 --> 00:10:35,320 Speaker 1: where you take some market share from Nvidia. Lisa, how 205 00:10:35,360 --> 00:10:38,400 Speaker 1: are you seeing that grow out and the ability to 206 00:10:38,440 --> 00:10:40,120 Speaker 1: compete with the next ranger chips. 207 00:10:40,960 --> 00:10:45,000 Speaker 3: Well, we are very bullish on our overall roadmap capability. 208 00:10:45,320 --> 00:10:47,880 Speaker 3: I think the second half of the year has a 209 00:10:47,960 --> 00:10:52,079 Speaker 3: number of customers, you know, really broadly adopting a MD. 210 00:10:53,920 --> 00:10:56,360 Speaker 2: Lisa, I have a question from our audience, if that's 211 00:10:56,400 --> 00:10:58,960 Speaker 2: okay a viewer of Bloomberg Tech and as you know, 212 00:10:59,080 --> 00:11:02,720 Speaker 2: like loads of AMD employees, your peers, technology industry people 213 00:11:02,960 --> 00:11:04,000 Speaker 2: want to hear what you have say. I'm just going 214 00:11:04,080 --> 00:11:07,880 Speaker 2: to read it to you. Can Lisa, please explain AMD's 215 00:11:07,920 --> 00:11:10,880 Speaker 2: winning and gaming and consoles. But AI is where the 216 00:11:10,920 --> 00:11:13,640 Speaker 2: margins are. Now, what's the plan to make a MD 217 00:11:14,040 --> 00:11:18,040 Speaker 2: indispensable to the next open AI and not just cost 218 00:11:18,040 --> 00:11:21,679 Speaker 2: effective alternative? I think to invideor is what they're saying. 219 00:11:22,440 --> 00:11:22,920 Speaker 4: Well ed. 220 00:11:23,480 --> 00:11:25,280 Speaker 3: The best way to say that is for you know, 221 00:11:25,320 --> 00:11:27,480 Speaker 3: those of you who know us as a company, you 222 00:11:27,480 --> 00:11:29,640 Speaker 3: know we execute extremely well. 223 00:11:30,160 --> 00:11:31,920 Speaker 4: You know, our roadmaps are strong. 224 00:11:32,200 --> 00:11:35,760 Speaker 3: We're very excited about all of the progress that we've made. 225 00:11:35,800 --> 00:11:38,400 Speaker 3: You know, I three hundred was an excellent product. I 226 00:11:38,440 --> 00:11:42,280 Speaker 3: three p fifty is you know, a big increase above that, 227 00:11:42,640 --> 00:11:44,880 Speaker 3: and then our next generation is also and the key 228 00:11:44,960 --> 00:11:47,880 Speaker 3: for us if you look at our history, our history 229 00:11:48,120 --> 00:11:51,000 Speaker 3: is doing what we say we're going to do, delivering 230 00:11:51,000 --> 00:11:54,360 Speaker 3: to customers, delivering total cost of ownership and with that, 231 00:11:54,840 --> 00:11:57,160 Speaker 3: you know, being a great partner. And so from that standpoint, 232 00:11:57,200 --> 00:12:00,240 Speaker 3: I think you can be very confident that we have 233 00:12:00,280 --> 00:12:02,600 Speaker 3: a strong roadmap and we're going to execute on it well. 234 00:12:02,920 --> 00:12:07,360 Speaker 3: And you know, our largest customers want to have a 235 00:12:07,440 --> 00:12:09,520 Speaker 3: dependable and good partner. 236 00:12:10,600 --> 00:12:13,040 Speaker 1: It's been wonderful spending time with you, Lisa sou A 237 00:12:13,200 --> 00:12:15,440 Speaker 1: m d CEO. We thank you very much