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Home»Artificial Intelligence»HPE Works Harder And Smarter To Chase Datacenter Profits
Artificial Intelligence

HPE Works Harder And Smarter To Chase Datacenter Profits

primereportsBy primereportsMarch 11, 2026No Comments8 Mins Read
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HPE Works Harder And Smarter To Chase Datacenter Profits
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The
compute engine and networking ASIC makers are profiting mightily from the GenAI
boom, and so is Taiwan Semiconductor Manufacturing Co, the world’s largest and
most important foundry. Everyone else downstream from them has a very tough
time squeezing profits from sales. Even if business is up, costs for memory and
flash are going up faster, and companies like Hewlett Packard have to work
harder to find and select profitable deals. And they have to walk away from
deals that do not make sense economically.

Every
quarter for many years now, we look at the financials of maybe two dozen key,
publicly traded IT suppliers to try to ascertain how their datacenter businesses
are doing so we can give you a better sense of what is going on out there as
you navigate the churning seas of the GenAI boom and try to negotiate around
some rocks below the water line.

Our
summary chart of the “core systems” business at Hewlett Packard Enterprise is
usually the last thing we show you in our financial analysis of the company,
but this time around we are going to start here because it frames the
conversation. Take a look:

HPE Works Harder And Smarter To Chase Datacenter Profits

You
can see how the GenAI boom and then the acquisition of Juniper Networks in the
past two quarters have helped push up the revenue line for the servers,
storage, switching and now routing, security, systems software, and financing
that HPE sells into the datacenter. These numbers do not include branch, edge,
and campus networking revenues from the newest HPE or other corporate investments.

This
particular dataset has only been cast backwards to the time when Antonio Neri took
the helm as the company’s chief executive officer, which was after the company
bought HPC supplier Silicon Graphics but before it bought its bigger competitor
Cray.

This
has been a tough row to hoe for Neri & Co, hasn’t it? Kudos to Neri and his
predecessors for staying in the game and trying to make some money while
building complex systems for some of the most important organizations in the
world.

As
you can see, the HPE datacenter systems business is now trending along at about
$8 billion a quarter or so, and operating income is trending around $1 billion,
which sure beats half of that and which explains why, in part, why
HPE shelled out $14 billion in cash to buy Juniper
. To be more specific, we
think this core systems business drove $7.81 billion in Q1 F2026, up 16.2
percent, and that operating income for this datacenter stuff was $997 million, up
63.4 percent. The networking profits are helping, clearly.

Looking
ahead, HPE wants to use Juniper to capture more networking revenue. Speaking generally,
the AI systems market might grow to $1 trillion a year by 2030 or so, and $200
billion of that might be for networking. Even if you are a pessimist and say
only a quarter or a third of that network spending will be done by traditional
large enterprises, that is still a hell of a lot more total addressable market
than either HPE or Juniper had been chasing with their respective networking businesses
over the past decade. The trick will be to get GPU and maybe XPU allocations to
build the systems that allow HPE to drive revenues with AI servers and drive
profits with AI networking.

That
is how Broadcom is doing it
with its nascent custom AI systems business,
and that
is how Marvell is doing it
, too.

HPE
did not provide revenue figures for AI servers and AI networking in its financial
presentation for the first quarter of fiscal 2026, which ended on January 31,
which would make life easier, but we can make some pretty good guesses about
how traditional servers did and then subtract it out to get AI server revenues.
With this methodology, what we can tell you is that AI server sales were not
great, even though most of them were to enterprise customers (which is good if
you want AI to mainstream) and not to service providers with bigger budgets.


By
the way, when HPE says AI servers, it means AI servers and HPC servers, which
includes big clusters (and little ones) for simulation and modeling workloads. HPC’s
share of the accelerated system pie changes radically from quarter to quarter,
as it did for SGI and Cray.

If
my model is right, and I obviously think it is pretty close, then AI/HPC server
sales – what HPE used to call APU system sales – were down 39.2 percent to $517
million, and that was down from a pretty weak $850 million in AI/HPC server
sales in the year ago period and down 40.4 percent sequentially from a pretty
weak $867 million in Q4 F2025 ended in October last year. In the trailing
twelve months, HPE’s AI/HPC sales are off 14.5 percent to $3.85 billion in fact.

But
this may be on purpose as HPE is walking away from bad service provider deals
and focusing on more profitable enterprise and sovereign deals. Neri did say on
the call with Wall Street analysts that the $5 billion backlog it has for
AI/HPC systems is primarily comprised of deals with enterprises and sovereigns.

Our
best guess is that traditional ProLiant servers drove $3.72 billion in sales in
Q1 F2026, up 8 percent year on year and up 1.9 percent sequentially from a
pretty good $3.65 billion in Q4 F2025. Maybe it is a good thing that HPE didn’t
do a lot of AI/HPC system sales in the quarter because it would have hurt
profits, particularly with DRAM and flash memory prices skyrocketing.

Here
how Neri characterized the impact of memory and flash shortages and price
spikes on HPE:

“The
IT market is facing a sharp acceleration in supply tightness and increasing
component costs, most notably in DRAM and NAND. We expect elevated prices to
persist well into 2027. We are taking a series of distinct actions to address
the current industry dynamics.”

“First,
we are focused on securing supply. We have expanded our long-term multiyear
agreements with our key silicon and memory partners to secure the capacity
needed to meet customer demand. Second, we are protecting our margins. We have
adopted an agile pricing posture with price adjustments across the entire
portfolio with shorter quote commitment cycles. We have amended our quoting
terms with a right to reprice existing orders for commodity cost increases
between quoting and shipment. And third, we are proactively communicating with
customers and channel partners, providing lead time and cost visibility along
with alternative configuration recommendations to shape demand.”

“DRAM
and NAND now make up over half of the bill of materials cost of a traditional
server, and the share will continue to rise as component costs increases. As a
result, we expect higher average unit prices in both our server and storage
products. Networking is more insulated, with memory comprising a significantly
smaller portion of the bill of materials. Given the supply dynamics, our fiscal
2026 strategy prioritizes higher margin product orders, which have an impact on
our AI systems revenue growth rate for the year.”

Here
is a full breakdown of the revenues and profits of the new HPE groups and
divisions, which were announced this week:


Let’s
ponder this new Networking division. Neri said that networking, including HPE
and Juniper products, now accounts for nearly 30 percent of the company’s
revenue and more than half of the company’s profits. Obviously, over the next
two quarters, as the Juniper numbers are added to the financials, it will grow
by around 2.5X year on year, but it is not clear how much the combined
businesses are actually growing. Basically, this buys HPE two more quarters of
easy compares and then we will know how Networking is really performing. (I still
don’t know what will happen to the “Rosetta” Slingshot Ethernet interconnect
for HPC systems, now that I think on it. . . .)


HPE’s
datacenter switching business was up 4.8X to $444 million. HPE had a teeny tiny
routing business (probably based on Broadcom chips) that only drove $1 million
a year ago, but after the acquisition, it is up 77,900 percent to $780 million
in Q1 F2026.

Servers
are still the revenue driver, as you can see, and brought in $4.23 billion in
the period, but it was down 2.7 percent because of (purposely) sluggish AI/HPC
system sales. Storage in the aggregate doesn’t change much at HPE quarter to
quarter and year to year, and was up six-tenths of a point to $1.06 billion
this time around. Financial services, which also trundles along, was up
three-tenths of a point to $876 million in the quarter.

Add
it all up, and HPE had 9.3 billion in sales, up 18.4 percent, with operating
income of $470 million, up 8.5 percent, and net income of $452 million, off
27.9 percent and bolstered by some tax accounting stuff. The company exited Q1
F2026 with $4.84 billion in cash and $17.71 billion in long term debt, most of
which came through the Juniper acquisition.

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