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Microsoft Leans on Neoclouds to Ease AI Crunch
Bloomberg
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2 months ago
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00:00
There's been $33 billion spent by Microsoft on NeoClouds.
00:04
You're talking European players like N-Scale, Neveus.
00:07
There's also local player CoreWeave.
00:09
Why would the AI data center, like, renter-outer
00:14
that we all know for Azure be turning to others?
00:17
Yeah, it's kind of funky, right?
00:18
It's like if I was paying somebody to write stories
00:21
and I was still writing stories.
00:22
I mean, it's like, essentially,
00:24
because we have huge capacity constraints, right?
00:27
Microsoft needs to get as many chips online as it can,
00:31
both for its customers, itself, and OpenAI,
00:34
and it's needing to kind of pull every single lever it can.
00:37
And so it's emerged as a major customer for all of these names
00:41
like the CoreWeaves and the Neveuses,
00:43
which have become, you know, very newsy in recent months.
00:47
It's like managing assets, right?
00:49
And, you know, the point of a NeoCloud is it's dedicated to AI,
00:53
either training or influence and, you know,
00:55
storage, running other software.
00:57
You know, that's a different thing.
00:59
Talk to me about the figure of $33 billion, though.
01:01
Like, is that news?
01:02
Is it something that we were able to work out
01:04
because Microsoft doesn't disclose it
01:06
in, like, quarterly earnings or something like that?
01:08
So Microsoft has just kind of disclosed it in piecemeal ways,
01:11
and likely it is going to be much higher than that 33.
01:15
What we have been able to discover
01:17
is what this capacity is actually being used for.
01:20
And in many cases, it's for Microsoft to build their own AI models.
01:24
And that's surprising because it's a larger amount of investment
01:28
in their own internal AI teams than many had realized.
01:31
And it points to them saying,
01:33
man, we better catch up with the open AIs and Anthropics
01:36
and have our own models on hand,
01:37
and we're going to use the NeoClouds to do it.
01:39
And Mustafa Suleiman, who came from DeepMind, went to Microsoft
01:43
with an, obviously, inflection being bought in this rather odd way.
01:46
He's the man behind the consumer AI offering.
01:49
He's, I mean, you found out that basically
01:51
the first large language model they're building internally
01:53
under him has been using CoreWeave's assets
01:56
over in Oregon, I think it is.
01:58
Which is another way of saying they're using NVIDIA gear to do it.
02:01
Yeah, using NVIDIA via CoreWeave.
02:04
Right.
02:04
But also what's interesting is the numbers
02:07
that you have to orientate yourself around,
02:09
because basically it allows Amy Hood
02:11
not to have to write this all as capex.
02:13
That's a really important point, right?
02:15
If you buy a bunch of servers,
02:17
now you have to depreciate them.
02:19
Now it's on your capital expenditures,
02:21
not your operating,
02:22
and investors want to see a good balance there.
02:24
And, you know, Microsoft's then able to,
02:26
when it's renting from Neoclouds,
02:28
to say, if in five years,
02:30
we actually don't really need that many GB300s,
02:32
we'd rather use some more Vera Rubens, bye-bye.
02:35
We don't need to deal with all these servers
02:37
that we don't have necessarily a use for.
02:39
That's what it allows them to do, potentially.
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