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