The following is excerpted from the question-and-answer section of the transcript.
(Questions from industry analysts are provided in full, but answers are omitted - download the transcript to see the full question-and-answer session)
Question: Meta Marshall - Morgan Stanley - Analyst
: Great, thanks and congrats on the results. Maybe just on the Server margins. Given the AI revenue contribution, they were a little
bit higher than expected. Could you just break down? Is this from kind of better ProLiant margins?
Better kind of proprietary Cray margins? Just better pricing discipline? Just a little bit more insight into the margin strength we saw
there. Thank you.
Question: Samik Chatterjee - JPMorgan - Analyst
: Thanks for taking my question. And I apologize if there's some background ground, just getting the most questions today on the
gross margin. And Marie, I know you've outlined the factors there in terms of the AI server mix, but hoping you can flesh that out a
bit more in terms of, was there anything outside of the AI server mix that impacted gross margins at the company level in the quarter
itself?
And as we think about sort of your operating discipline going into the next quarter, should we be expecting sort of further moderation
in the gross margins and more operating discipline to help maintain that operating margin outlook? And if I can just add on there
the AI order that you're seeing. You mentioned lumpy deals with customers.
Is that impacting your thinking on gross margins for the aggregate company as we look forward as well in terms of which verticals
those orders are coming from? Thank you.
Question: Amit Daryanani - Evercore - Analyst
: Good afternoon and thanks for taking my question. I guess Marie, I was hoping you could talk a little bit more about the free cash
flow number. It was down a fair bit year over year. Maybe you can just talk about what is driving the downtick in free cash flow. If
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SEPTEMBER 04, 2024 / 9:00PM, HPE.N - Q3 2024 Hewlett Packard Enterprise Co Earnings Call
there's a way to think about the headwind you're seeing from the AI ramps versus the strategic prebuys, just talk about what those
buckets are. And then related to free cash flow, I think last quarter, it was at least $1.9 billion for the full year.
I think this time it's $1.9 billion so seems like a bit of a downtick, maybe I'm overthinking it. But could you just talk about how do you
think about that October quarter free cash flow number as well?
Question: Toni Sacconaghi - Bernstein - Analyst
: Yes, thank you. You did mention repeatedly the lumpiness of AI server deals. And I'm wondering if there was any unusually large
deals in Q3 or whether you're anticipating your AI bookings to be significantly different in Q4. And then just on the free cash flow,
Marie. Net income is going to be about $2.5 billion to $2.6 billion. Free cash flow is going to be about $1.9 billion.
That's about 75% realization. I think since HPE split off, free cash flow realization has actually been even lower than that. How do we
think about that going forward? I presume free cash flow realization will be less than [1] for next year and maybe even the following
year because of Juniper integration charges. Or where is the pathway to where we can see free cash flow to net income being
positive?
Question: Mike Ng - Goldman Sachs - Analyst
: Hey, good afternoon. Thank you for your question. I just had a question about the mix of products and services for the AI systems
orders and revenues that you guys disclosed on slide 12. I think I was struck by two things.
First, the growing share of services as a percentage of AI system orders. Should we expect that to continue over time? And more to
some of the key services you're selling with AI systems.
And then second, the very little services revenue that's being recognized to date. As you recognize that services revenue and AI
systems, should that improve the margins for Server margins and AI system margins? And how much can that improve margins by?
Question: Simon Leopold - Raymond James - Analyst
: Thank you very much. I wanted to see, Antonio, if you could talk a little bit about the trends with traditional servers, given we hear
these arguments that AI-accelerated platforms would cannibalize traditional servers, but you're seeing good growth and good order
patterns. How should we think about the risk that maybe that cannibalization eventually happens? Or how are you really thinking
about traditional versus AI?
Question: Wamsi Mohan - BofA Global Research - Analyst
: Antonio, I was wondering if you could just share some color on what the AI backlog composition is across maybe your portfolio
where you're seeing more strength versus not? And within the enterprise demand commentary that you're calling out, can you share
some color on what kind of projects are being evaluated? I know you called out some verticals like health care and Financial Services.
Curious if you could provide some color on that as well.
Question: Ananda Baruah - Loop Capital - Analyst
: Hey, guys, good afternoon. I really appreciate you taking the question. Maybe Antonio, actually just dovetailing from there, like I'd
love any more insight you can give or context around like what's the HPE sort of sweet spot right now for business you want in gen
AI? Like what types of deployments or workloads? And then how do you see that changing or how do you see that evolving over
the next two years as well? And that's it for me.
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