1 00:00:00,040 --> 00:00:04,120 Speaker 1: Computer hardware maker HP Enterprise joining the RUSS to artificial 2 00:00:04,160 --> 00:00:07,680 Speaker 1: intelligence in earnings announced this week, HPE saying it expects 3 00:00:07,840 --> 00:00:11,000 Speaker 1: softer demand for service and storage, but it's hoping it's 4 00:00:11,119 --> 00:00:14,120 Speaker 1: new AI venture will offset the slowdown. The plan including 5 00:00:14,160 --> 00:00:18,040 Speaker 1: a bigger partnership with chip Giant in Vidia. Antonio Nery, 6 00:00:18,280 --> 00:00:21,320 Speaker 1: the CEO of HPE, joining us from Barcelona where he's 7 00:00:21,320 --> 00:00:24,040 Speaker 1: been speaking to customers. Antonio, great to catch up with you, sir. 8 00:00:24,239 --> 00:00:27,240 Speaker 1: Let's start with that relationship within video for our audience 9 00:00:27,280 --> 00:00:29,280 Speaker 1: who aren't familiar with it. Can you describe it to 10 00:00:29,360 --> 00:00:31,560 Speaker 1: us and how beneficial it's going to be to both 11 00:00:31,600 --> 00:00:31,760 Speaker 1: of you. 12 00:00:32,960 --> 00:00:35,640 Speaker 2: Yeah, well, good morning, Thanks for having me. As you 13 00:00:35,720 --> 00:00:38,599 Speaker 2: see we are in Barcelona. There's still a show going on. 14 00:00:39,000 --> 00:00:43,440 Speaker 2: We hosted HBEN Discovered here with more than three thousand customers, 15 00:00:43,720 --> 00:00:46,280 Speaker 2: and thanks again for having the opportunity to talk to you. 16 00:00:46,440 --> 00:00:50,320 Speaker 2: So here a discoverer in Barcelona. We announce an expanded 17 00:00:50,400 --> 00:00:53,840 Speaker 2: partnership with Nvidia. Two weeks ago at the. 18 00:00:53,840 --> 00:00:56,360 Speaker 3: Supercomputer event in Denver, we announced a. 19 00:00:56,520 --> 00:01:01,040 Speaker 2: Deep solution for what we call model developers for generative AI, 20 00:01:01,400 --> 00:01:05,600 Speaker 2: using our supercomputing capabilities plus our intellectual property in the 21 00:01:05,680 --> 00:01:10,880 Speaker 2: software space plus Nvidia chipsets and other aspects of what 22 00:01:10,920 --> 00:01:14,760 Speaker 2: they do to provide a massive capability for motor developers 23 00:01:14,760 --> 00:01:18,160 Speaker 2: to speed up the trimming models. And here on Thursday 24 00:01:18,319 --> 00:01:22,240 Speaker 2: I announced an extension of the partnership for enterprise customers 25 00:01:22,520 --> 00:01:25,720 Speaker 2: to what we call fine tune those models. And that's 26 00:01:25,800 --> 00:01:29,440 Speaker 2: the right time to value using our expertise as well 27 00:01:29,480 --> 00:01:32,199 Speaker 2: as our services capabilities and the software to be able 28 00:01:32,200 --> 00:01:33,039 Speaker 2: to deploy. 29 00:01:33,120 --> 00:01:34,959 Speaker 3: On premises and at the edge. 30 00:01:35,160 --> 00:01:37,280 Speaker 2: So this is a complete solution for what we call 31 00:01:37,319 --> 00:01:40,400 Speaker 2: the AI life cycle from trinity to tune into infancy, 32 00:01:40,720 --> 00:01:44,360 Speaker 2: and customer has a massive reception because they want to 33 00:01:44,480 --> 00:01:47,120 Speaker 2: privately fine tune the models with their data in a 34 00:01:47,160 --> 00:01:48,400 Speaker 2: secure and compliant way. 35 00:01:48,840 --> 00:01:52,040 Speaker 1: It's clear your stock is benefiting from the glow of Nvidia. 36 00:01:52,440 --> 00:01:54,200 Speaker 1: We can see that. I think Raymond James writing that 37 00:01:54,240 --> 00:01:56,560 Speaker 1: you're getting a seat at the AI table. Can you 38 00:01:56,600 --> 00:01:59,520 Speaker 1: talk to us about the pace of adoption of this technology. 39 00:01:59,720 --> 00:02:01,640 Speaker 1: I think many of us Antonio surprised by some of 40 00:02:01,680 --> 00:02:04,480 Speaker 1: the guidance we had repeatedly from Nvidio that this wasn't 41 00:02:04,520 --> 00:02:07,000 Speaker 1: just a hopeful story about the future, it was real 42 00:02:07,400 --> 00:02:10,840 Speaker 1: and present. Can you talk to us about that well? 43 00:02:10,880 --> 00:02:13,519 Speaker 2: I think there's two comportents, right, So the story is 44 00:02:13,560 --> 00:02:16,360 Speaker 2: absolutely real. We see it in the quality of the 45 00:02:16,360 --> 00:02:20,880 Speaker 2: dialogs with customers which are now accelerating and mobile training. 46 00:02:21,919 --> 00:02:24,040 Speaker 3: So you think about this. At the beginning of twenty 47 00:02:24,080 --> 00:02:25,359 Speaker 3: twenty three, we. 48 00:02:25,360 --> 00:02:27,600 Speaker 2: Had less than one hundred million dollars what I call 49 00:02:27,800 --> 00:02:32,960 Speaker 2: accelerator processing units in our server business. At the end 50 00:02:33,000 --> 00:02:35,560 Speaker 2: of twenty twenty three, we grew that business to three 51 00:02:35,560 --> 00:02:37,720 Speaker 2: point six billions and nobus and that. 52 00:02:37,760 --> 00:02:39,960 Speaker 3: Was literally in ten months. 53 00:02:40,720 --> 00:02:43,720 Speaker 2: And the reason why that's happened is because the technology 54 00:02:43,720 --> 00:02:47,760 Speaker 2: has achieved an inflection point what is ready to be deployed. 55 00:02:48,240 --> 00:02:50,239 Speaker 3: However, our story is not just AI. 56 00:02:50,480 --> 00:02:52,880 Speaker 2: Just to be clear, Jonathan Lissa, our story is a 57 00:02:52,919 --> 00:02:55,480 Speaker 2: combination of a hybrid cloud, a cloud. 58 00:02:55,240 --> 00:02:58,400 Speaker 3: Native world in an AI natered world. Think about it 59 00:02:58,400 --> 00:02:58,760 Speaker 3: this way. 60 00:02:59,480 --> 00:03:02,680 Speaker 2: Most of our data today sits in the cloud native world, 61 00:03:02,680 --> 00:03:05,840 Speaker 2: whereas in your premise and manufacturing flows and hospitals and 62 00:03:05,840 --> 00:03:07,040 Speaker 2: obviously in the public cloud. 63 00:03:07,720 --> 00:03:12,080 Speaker 3: But AI needs that data is one hundred for that data. 64 00:03:12,120 --> 00:03:15,760 Speaker 2: And therefore now we need an AI native architecture to 65 00:03:15,840 --> 00:03:19,200 Speaker 2: train and find tune these models with that data and 66 00:03:19,240 --> 00:03:22,000 Speaker 2: then put it in production, which ultimately is the value 67 00:03:22,040 --> 00:03:25,280 Speaker 2: to change your processes and be able to achieve those outcomes, 68 00:03:25,280 --> 00:03:28,320 Speaker 2: and we deliver all of that to our HPIG platform 69 00:03:28,440 --> 00:03:30,799 Speaker 2: and that's what we see a tremendous growth in a 70 00:03:30,919 --> 00:03:34,639 Speaker 2: connectivity business, in a hybrid cloud business, and then obviously 71 00:03:34,680 --> 00:03:36,840 Speaker 2: now in AI, and we have a unique portfolio to 72 00:03:36,840 --> 00:03:38,920 Speaker 2: address all aspects of what customers need. 73 00:03:39,200 --> 00:03:41,200 Speaker 4: Antonio. This year, we've been talking to so many people 74 00:03:41,200 --> 00:03:44,200 Speaker 4: who talk about a winner takes all type of trend 75 00:03:44,360 --> 00:03:49,200 Speaker 4: in tech, in particular Amazon's Aws, Microsoft's zore taking an 76 00:03:49,200 --> 00:03:52,680 Speaker 4: increasing part of the market share. How do you compete 77 00:03:52,720 --> 00:03:55,240 Speaker 4: at a time where people seem to be gravitating toward 78 00:03:55,280 --> 00:03:56,440 Speaker 4: the biggest players. 79 00:03:57,440 --> 00:04:02,360 Speaker 2: Well, there is an interesting opportunity because obviously the last decade, 80 00:04:02,360 --> 00:04:05,280 Speaker 2: think about twenty ten, twenty twenty, it was all about 81 00:04:05,320 --> 00:04:06,440 Speaker 2: the cloud decad. 82 00:04:07,040 --> 00:04:08,240 Speaker 3: You know, the cloud for. 83 00:04:08,280 --> 00:04:12,880 Speaker 2: Us is an experience, is for accelerate speed and agility 84 00:04:12,880 --> 00:04:15,760 Speaker 2: across the business. And now we enter what I called 85 00:04:15,800 --> 00:04:18,320 Speaker 2: the new age of insights, and it's all about deriving 86 00:04:18,360 --> 00:04:21,480 Speaker 2: insights from the data and changing the way you do business. 87 00:04:21,800 --> 00:04:24,120 Speaker 3: But that inflection point. 88 00:04:23,920 --> 00:04:28,560 Speaker 2: Actually requires a different architecture and therefore customers are not 89 00:04:28,800 --> 00:04:32,119 Speaker 2: keen to put the public data you know, the data 90 00:04:32,120 --> 00:04:35,479 Speaker 2: and the public domain and make sure that they control 91 00:04:35,520 --> 00:04:37,160 Speaker 2: that because that's the intellectual property. 92 00:04:37,200 --> 00:04:39,360 Speaker 3: And that creates a massive opportunity for us. 93 00:04:39,600 --> 00:04:43,080 Speaker 2: And we think hPG, like as the fourth Cloud, is 94 00:04:43,120 --> 00:04:45,840 Speaker 2: a design for hybrid, meaning you can take advantage of 95 00:04:45,880 --> 00:04:49,160 Speaker 2: the public cloud, also take advantage your own premises and 96 00:04:49,240 --> 00:04:51,279 Speaker 2: more and more at the edge and be able to 97 00:04:51,320 --> 00:04:54,600 Speaker 2: do everything you need in a unified experience. 98 00:04:55,040 --> 00:04:57,080 Speaker 3: And that's the value that we bring to the table. 99 00:04:57,440 --> 00:05:00,360 Speaker 2: And ultimately we have every aspect of the solution, stock 100 00:05:00,520 --> 00:05:02,640 Speaker 2: and the partnerships like we did this week with a 101 00:05:02,720 --> 00:05:05,080 Speaker 2: media to give that unified experience. 102 00:05:05,400 --> 00:05:08,440 Speaker 4: We've been hearing all about consolidation in big tech. How 103 00:05:08,520 --> 00:05:11,800 Speaker 4: much are some of the biggest cloud providers kind of 104 00:05:11,800 --> 00:05:14,880 Speaker 4: trying to get into that market where it's basically the 105 00:05:15,000 --> 00:05:20,520 Speaker 4: hybrid trying to have bespoke solutions for companies versus having 106 00:05:20,520 --> 00:05:21,760 Speaker 4: the market to yourself. 107 00:05:23,240 --> 00:05:24,400 Speaker 3: I mean, the market is big. 108 00:05:24,520 --> 00:05:27,080 Speaker 2: I think you know, we're talking about over a trillion 109 00:05:27,120 --> 00:05:30,359 Speaker 2: dollar market opportunity from a tea perspective, and I believe 110 00:05:30,400 --> 00:05:33,599 Speaker 2: the eye opens an incremental one point six trillion dollar 111 00:05:33,720 --> 00:05:37,240 Speaker 2: opportunity for everyone. So there's plenty of market out there 112 00:05:37,480 --> 00:05:39,520 Speaker 2: and you think about us as a company. This year 113 00:05:39,520 --> 00:05:42,000 Speaker 2: we grew five and a half percentage revenue. We expand 114 00:05:42,040 --> 00:05:44,919 Speaker 2: the gross margin very rapidly. It takes to the mix. 115 00:05:44,760 --> 00:05:47,360 Speaker 3: And the value will bring to the table, achieve. 116 00:05:47,000 --> 00:05:50,400 Speaker 2: Record breaker performance in long gap, the little edgy to 117 00:05:50,480 --> 00:05:53,320 Speaker 2: share and free cash flow, and we believe there's a 118 00:05:53,360 --> 00:05:56,960 Speaker 2: plenty of runway here. But ultimately the winner is about 119 00:05:57,000 --> 00:06:00,560 Speaker 2: all delivered in a simple, simple experience with the knowledge 120 00:06:00,600 --> 00:06:05,720 Speaker 2: is easy to deploy and consume and ultimately accelerate business outcomes. 121 00:06:05,760 --> 00:06:08,960 Speaker 3: It's not just about thinking about technology and speeds and feeds. 122 00:06:09,240 --> 00:06:12,920 Speaker 2: It's about delivering that agility to deliver those of business outcome. 123 00:06:13,000 --> 00:06:15,680 Speaker 3: I thick HP is uniquely position with the fourth cloud. 124 00:06:15,680 --> 00:06:17,239 Speaker 3: I call it hpgreen Lake. 125 00:06:17,800 --> 00:06:20,880 Speaker 1: Too much tech. Let's finish on football. Are you happy 126 00:06:20,880 --> 00:06:23,039 Speaker 1: that Messi is no longer in Barcelona and we have 127 00:06:23,120 --> 00:06:24,480 Speaker 1: him here in America now? 128 00:06:24,480 --> 00:06:28,680 Speaker 2: Antonio, Well, I'm happy that missus Argentina and I was 129 00:06:28,720 --> 00:06:31,280 Speaker 2: born in Argentina and I had the honor. 130 00:06:31,000 --> 00:06:35,400 Speaker 3: And pleasure to meet both of them. In fact, I 131 00:06:35,440 --> 00:06:36,160 Speaker 3: was able. 132 00:06:35,960 --> 00:06:38,640 Speaker 2: To play one time again with Deva Maradona and I. 133 00:06:38,520 --> 00:06:40,960 Speaker 3: Have say for us as an incredible pride. 134 00:06:40,960 --> 00:06:43,640 Speaker 2: But obviously having him in the United States gives me 135 00:06:43,720 --> 00:06:45,920 Speaker 2: the opportunity to go watching more often. 136 00:06:46,120 --> 00:06:48,760 Speaker 1: Amazing. I want to hear that Maradonna story one day. Antonio, 137 00:06:48,800 --> 00:06:51,760 Speaker 1: thank you, Antonia, Nearda, if you the pack at, thank 138 00:06:51,760 --> 00:06:53,039 Speaker 1: you sir on the latest