1 00:00:00,080 --> 00:00:02,480 Speaker 1: The AI high pass centered in large part around the 2 00:00:02,520 --> 00:00:06,000 Speaker 1: workhorse processing chips from Nvidia that are needed to create 3 00:00:06,040 --> 00:00:09,480 Speaker 1: those large language models. But HP Enterprise it's a leading 4 00:00:09,480 --> 00:00:12,760 Speaker 1: seller of the supercomputers needed to crunch that data. Yesterday, 5 00:00:12,920 --> 00:00:15,920 Speaker 1: HPE unveiled it's green Lake for large language models. It's 6 00:00:15,960 --> 00:00:18,880 Speaker 1: a service built to handle the large computing power needed 7 00:00:18,920 --> 00:00:21,320 Speaker 1: to support the new technology. Please to say you there, 8 00:00:21,360 --> 00:00:24,520 Speaker 1: joining me from the showroom of the HPE Discover conference 9 00:00:24,520 --> 00:00:27,360 Speaker 1: out in Las Vegas as Antonio Neer, the CEO of 10 00:00:27,440 --> 00:00:28,880 Speaker 1: Hewlett Packard Enterprise. 11 00:00:28,920 --> 00:00:32,239 Speaker 2: Antonio, great to see you. Thank you. Romain, great to 12 00:00:32,240 --> 00:00:32,760 Speaker 2: see you too. 13 00:00:32,920 --> 00:00:35,120 Speaker 1: Back in twenty nineteen, you guys sort of did this 14 00:00:35,120 --> 00:00:38,120 Speaker 1: big rollout of green Lake Central. This was a big 15 00:00:38,159 --> 00:00:41,919 Speaker 1: push kind of solidify your grip in the cloud market. 16 00:00:42,240 --> 00:00:45,440 Speaker 1: Tell us how artificial intelligence and what you announced this 17 00:00:45,520 --> 00:00:48,120 Speaker 1: week ties into that platform. 18 00:00:48,840 --> 00:00:51,879 Speaker 3: Well, the announcement we made yesterday and AI completes our 19 00:00:51,960 --> 00:00:55,200 Speaker 3: vision and the execution the strategy we have been through 20 00:00:55,480 --> 00:00:58,720 Speaker 3: over the last four to five years, which green Lake 21 00:00:59,040 --> 00:01:03,040 Speaker 3: is our cloud cloud where we offer edge services, hybrid 22 00:01:03,040 --> 00:01:05,880 Speaker 3: cloud services, and now we're going to offer AI services, 23 00:01:05,920 --> 00:01:08,840 Speaker 3: So in many ways complete the entire portfolio because in 24 00:01:08,840 --> 00:01:12,200 Speaker 3: twenty eighteen I stated that the enterprise of the future 25 00:01:12,240 --> 00:01:15,640 Speaker 3: will be edge centric, cloud enabled, data driven, and obviously 26 00:01:15,640 --> 00:01:19,720 Speaker 3: AI is an accelerate of the data driven strategy. And 27 00:01:19,760 --> 00:01:23,440 Speaker 3: we made available an amazing set of services yesterday, with 28 00:01:23,600 --> 00:01:27,440 Speaker 3: the leading service being THEAI Cloud, meaning a public offer 29 00:01:27,920 --> 00:01:32,000 Speaker 3: so customers can come and privately to train their AI 30 00:01:32,160 --> 00:01:34,280 Speaker 3: models in the most sustainable infrastructure. 31 00:01:34,560 --> 00:01:37,119 Speaker 1: I am curious Antonio as to whether this is sort 32 00:01:37,160 --> 00:01:40,400 Speaker 1: of a closed system, meaning for your customers is primarily 33 00:01:40,440 --> 00:01:44,720 Speaker 1: going to be an interaction with HPE versus say an 34 00:01:44,760 --> 00:01:47,960 Speaker 1: Amazon or a Microsoft, where they are using a lot 35 00:01:48,000 --> 00:01:50,240 Speaker 1: more third party companies and third party products. 36 00:01:51,520 --> 00:01:55,280 Speaker 3: Now, actually, if you think about the introduction of the 37 00:01:55,400 --> 00:01:57,960 Speaker 3: first what I call LLM as a service with a 38 00:01:58,120 --> 00:01:59,400 Speaker 3: deep partnership. 39 00:01:58,880 --> 00:02:00,160 Speaker 2: With Ali fil fund job my. 40 00:02:00,240 --> 00:02:03,960 Speaker 3: Company that really focus on giving the ability to customers 41 00:02:04,000 --> 00:02:05,640 Speaker 3: to privately train the models. 42 00:02:06,040 --> 00:02:08,880 Speaker 2: We expect this portfolio to continue to. 43 00:02:08,800 --> 00:02:13,600 Speaker 3: Growth in vertical AI applications. Let's remember remaining that HPE 44 00:02:13,880 --> 00:02:16,440 Speaker 3: has been on the forefront of training AI for a 45 00:02:16,480 --> 00:02:21,160 Speaker 3: long time. Obviously has been very specific to unique customers 46 00:02:21,440 --> 00:02:24,280 Speaker 3: in the government, of the academia or in the climate space. 47 00:02:24,320 --> 00:02:26,840 Speaker 2: So we have deep expertise. 48 00:02:26,280 --> 00:02:29,120 Speaker 3: On how to train and tune these models. But we 49 00:02:29,320 --> 00:02:33,360 Speaker 3: open an HP green Lake for other companies to present 50 00:02:33,440 --> 00:02:36,400 Speaker 3: their AI models so customers can consume it as a service. 51 00:02:36,400 --> 00:02:39,560 Speaker 3: And I expect that we will have relationship with three 52 00:02:39,600 --> 00:02:41,360 Speaker 3: cloud providers because. 53 00:02:41,120 --> 00:02:42,160 Speaker 2: I believe in the end. 54 00:02:42,040 --> 00:02:44,440 Speaker 3: It would be a HYBRIDI model from training. 55 00:02:44,160 --> 00:02:45,640 Speaker 2: And tuning all the way to the inference. 56 00:02:45,960 --> 00:02:49,680 Speaker 1: Does this announcement? Is this more about placating existing customers 57 00:02:49,680 --> 00:02:52,200 Speaker 1: giving them an option or is this about attracting new 58 00:02:52,200 --> 00:02:53,160 Speaker 1: customers Antonio? 59 00:02:54,120 --> 00:02:54,640 Speaker 2: It's both. 60 00:02:54,840 --> 00:02:58,120 Speaker 3: You know, when you think about our hpgree Lakes momentum, 61 00:02:58,520 --> 00:03:02,239 Speaker 3: we already have sixty five and you need customer instances 62 00:03:02,320 --> 00:03:06,480 Speaker 3: that support twenty two thousand organizations to manage more than 63 00:03:06,520 --> 00:03:08,040 Speaker 3: two and a half million devices. 64 00:03:08,080 --> 00:03:11,480 Speaker 2: But what is interesting to me is the data. 65 00:03:11,080 --> 00:03:13,720 Speaker 3: Because in the ENDAI is all about data, and today 66 00:03:13,880 --> 00:03:18,560 Speaker 3: inside the HP green Lake platform, we already manage seventeen 67 00:03:18,840 --> 00:03:21,560 Speaker 3: exabytes of data on behalf of the customers. So now 68 00:03:21,600 --> 00:03:25,240 Speaker 3: we have bytes of data and we have exo scale 69 00:03:25,240 --> 00:03:28,079 Speaker 3: computer capabilities that we can bring to bear so they 70 00:03:28,080 --> 00:03:30,440 Speaker 3: can really drive the insights from that data. 71 00:03:30,840 --> 00:03:33,440 Speaker 1: Most of the analysts Antonio that have been following this 72 00:03:33,520 --> 00:03:36,960 Speaker 1: announcement that seemed to be relatively encouraged by what they heard. 73 00:03:37,280 --> 00:03:40,520 Speaker 1: So there has been sort of a consistent drumbeat about 74 00:03:40,520 --> 00:03:43,760 Speaker 1: the intense competition in this space and how HPE really 75 00:03:43,760 --> 00:03:44,440 Speaker 1: fits in there. 76 00:03:45,760 --> 00:03:48,960 Speaker 3: Of course, there's competitions everywhere we play, I mean at 77 00:03:49,000 --> 00:03:49,480 Speaker 3: the edge. 78 00:03:49,600 --> 00:03:50,560 Speaker 2: We are at the core. 79 00:03:50,600 --> 00:03:53,040 Speaker 3: We are a networking company with HP Aruba, and we 80 00:03:53,240 --> 00:03:57,280 Speaker 3: expanded a portfolio over the last few years. That business 81 00:03:57,400 --> 00:03:59,880 Speaker 3: is on track to be tripled this year since the 82 00:04:00,000 --> 00:04:03,000 Speaker 3: acquisition of Baruba. In the cloud obviously has been a 83 00:04:03,000 --> 00:04:07,040 Speaker 3: super competitive space, and yesterday we expanded our private cloud 84 00:04:07,080 --> 00:04:10,080 Speaker 3: portfolio and we brought automation to the platform in a 85 00:04:10,160 --> 00:04:13,400 Speaker 3: heater genius environment and AI would be competitive too, But 86 00:04:13,600 --> 00:04:16,440 Speaker 3: we always start from the customer point of view, what 87 00:04:16,600 --> 00:04:19,400 Speaker 3: problems we can solve in a way others can't, and 88 00:04:19,480 --> 00:04:22,359 Speaker 3: honestly define where we play and how we win, with 89 00:04:22,480 --> 00:04:25,760 Speaker 3: intent obviously to drive shoholder value, which is ulsom the 90 00:04:25,800 --> 00:04:28,760 Speaker 3: metric that we are accountable too. So I believe HP 91 00:04:28,960 --> 00:04:30,800 Speaker 3: is very well positioned to do that. 92 00:04:30,880 --> 00:04:31,000 Speaker 2: Well. 93 00:04:31,040 --> 00:04:33,720 Speaker 1: Let's talk about shareholder value. What are we looking at 94 00:04:33,760 --> 00:04:38,400 Speaker 1: in terms of the addition to growth, whether it's profitability 95 00:04:38,480 --> 00:04:41,560 Speaker 1: or revenue. 96 00:04:40,600 --> 00:04:43,960 Speaker 3: Obviously, AI will be a huge boost of revenue growth, 97 00:04:44,000 --> 00:04:46,360 Speaker 3: and we talked about this in the Q two earnings 98 00:04:46,400 --> 00:04:48,919 Speaker 3: where we specifically call out. 99 00:04:48,920 --> 00:04:50,080 Speaker 2: In ninety days. 100 00:04:50,120 --> 00:04:53,239 Speaker 3: Just in Q two, we booked an incremental eight hundred 101 00:04:53,320 --> 00:04:56,320 Speaker 3: million dollars just for this type of AI world loads. 102 00:04:56,680 --> 00:04:59,960 Speaker 3: Since then, our pipeline has grown out to over three billion, 103 00:05:01,200 --> 00:05:04,279 Speaker 3: and so this is where you see the momental maccelerated. 104 00:05:04,320 --> 00:05:05,760 Speaker 2: And the reason why they are coming. 105 00:05:05,560 --> 00:05:08,800 Speaker 3: To us is because they know we have the capabilities, 106 00:05:09,040 --> 00:05:12,200 Speaker 3: but also we have the trust. Trust is everything when 107 00:05:12,240 --> 00:05:14,760 Speaker 3: it comes down to AI, and to build trust, you 108 00:05:14,800 --> 00:05:17,760 Speaker 3: need to have model completion, and to have model completion, 109 00:05:17,880 --> 00:05:20,720 Speaker 3: need to have this capability. So we expect this business 110 00:05:20,760 --> 00:05:23,280 Speaker 3: to continue to grow and write profitable growth for our. 111 00:05:23,279 --> 00:05:25,240 Speaker 1: Sholders well as you seek to get a little bit 112 00:05:25,279 --> 00:05:27,839 Speaker 1: more traction on this, particularly when it comes to revenue growth. 113 00:05:27,920 --> 00:05:30,120 Speaker 1: Is that going to be enough, Antonio to make up 114 00:05:30,160 --> 00:05:31,680 Speaker 1: for some of the lack that we've been seeing in 115 00:05:31,720 --> 00:05:32,560 Speaker 1: the compute segment? 116 00:05:33,800 --> 00:05:36,920 Speaker 3: Now, listen, last year our compute business grew double digits 117 00:05:36,960 --> 00:05:41,200 Speaker 3: and we drove an amazing profitability. And we know compute 118 00:05:41,200 --> 00:05:44,000 Speaker 3: tends to be cyclical. You know there are period of 119 00:05:44,080 --> 00:05:48,359 Speaker 3: times where you modernize and you add compute capacity depending 120 00:05:48,400 --> 00:05:50,359 Speaker 3: on where you want to host the WORL loads and 121 00:05:50,400 --> 00:05:53,680 Speaker 3: the coperiods that will go through digestion. But remember Green Lake, 122 00:05:53,760 --> 00:05:57,920 Speaker 3: and that's an accelerator of our compute demand because ultimately 123 00:05:58,400 --> 00:06:00,919 Speaker 3: that comput demand stays there for a longer period of 124 00:06:00,960 --> 00:06:04,279 Speaker 3: time with hybrid prosmology and honestly, high got attached rates. 125 00:06:04,279 --> 00:06:05,920 Speaker 2: So that's why we are. 126 00:06:05,880 --> 00:06:08,520 Speaker 3: Growing the edge, we are growing the hybrid cloud, and 127 00:06:08,560 --> 00:06:11,160 Speaker 3: now we go to grow the AI together with the 128 00:06:11,240 --> 00:06:13,919 Speaker 3: data and COMPUTA will continue to be a very important 129 00:06:13,920 --> 00:06:17,919 Speaker 3: aspect of portfolio, but over time the portfolio mix is 130 00:06:18,000 --> 00:06:20,760 Speaker 3: going to go to those that line up businesses just mentioned. 131 00:06:20,920 --> 00:06:22,400 Speaker 2: All right, Antoni, we're gonna have to leave it there. 132 00:06:22,400 --> 00:06:25,039 Speaker 1: I appreciate you taking time out from the conference HPE 133 00:06:25,160 --> 00:06:28,520 Speaker 1: Discover out there in Las Vegas. Antonio Nery, the CEO 134 00:06:28,760 --> 00:06:30,200 Speaker 1: of Hewlett Packard Enterprise,