The Ledger
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Highly leveraged AI infrastructure companies face severe financial fallout without monetization
“And I think not every company probably has that. Level of game plan. And I don't think that maybe not every company is probably doing the same level of thoughtfulness of that. And, you know, at some point, you know, different companies will probably be hit by …”
Guthrie: AI infrastructure will remain supply-constrained for the next two years
“With AI, we're still more supply constrained than we are demand constrained. And I think I, you know, I expect that to continue over the next couple of years as the technology continues to evolve and as people start to integrate AI into more and more workflows…”
Microsoft accesses OpenAI's top models regardless of where they are trained
“Part of what makes our partnership with OpenAI unique is the fact that we do have access to the best models, frankly, whether they're trained on our infrastructure or anywhere else.”
Guthrie: Evaluate AI datacenters by revenue line of sight, not megawatts
“I would focus less on the megawatts that sometimes get reported in the press and more at where are those megawatts and what are you going to do with those megawatts? Is it going to be ultimately capacity that you can use to serve customers? Is it to build bett…”
Guthrie: Microsoft supports OpenAI partnering with other infrastructure providers
“We definitely are building out for open AI. And at the same time, the way our partnership works is we're supportive of others. Participating in that as well.”
Guthrie: Microsoft Fairwater Datacenters Feature Largest Contiguous GPU Blocks Globally
“You know, we recently, for example, announced our Fairwater data, you know, data center regions around the U S we have multiple Fairwaters. And you know, we did a blog post recently of one of our new sites in Wisconsin, and these are, you know, hundreds of meg…”
Guthrie: Microsoft consistently achieves positive ROI repurposing older GPUs
“So far we've always been able to use our GPUs, even ones that we deployed multiple years ago for different use cases and get positive ROI from it. And that's why our depreciation cycle for GPUs is what it is.”
Guthrie: Microsoft plans multi-gigawatt expansion with subsequent Wisconsin datacenters
“Right next to that data center, we're building another data center.
And so those thousands of people that have been working on the first Fairwater data center we just announced are now going to be starting work on the second one.
and then after the second one…”
ChatGPT will stay on Azure despite OpenAI's external infrastructure partnerships
“Is ChatGPT, by the way, going to stay on Azure, even though OpenAI is making these partnerships with NVIDIA and Oracle?
[2466] Scott Guthrie: Yes.”
Guthrie: Every Microsoft GPU server uses in-house custom silicon
“In fact, I think every GPU server that we're running in the fleet right now is using custom silicon at the networking compression storage layer that we've built.”
Guthrie claims Microsoft is likely Nvidia's largest customer in the world
“NVIDIA is a fantastic partner of ours. We're probably one of, if not the biggest customer in the world of theirs. And we partner super deeply with Jensen and his team.”
Guthrie: Microsoft was first worldwide to run GB200 clusters and datacenters
“And we were the first chip, the first one running first rack running the first cluster running the first data center running of any cloud or Neo cloud provider in the world.”
Guthrie: ChatGPT Runs on Azure as World's Largest Consumer App
“We've got the world's largest consumer application with ChatGPT that runs on top of Azure, and we have thousands hundreds of thousands and millions of businesses that are also building their own AI applications on top of us.”
Microsoft uses idle nighttime inference capacity for global AI post-training
“What's nice about post training is that you don't have to do it in one large data center in one location. And so part of the technique that we've been focused on is how do we take this inferencing capacity around the world? And a lot of it is idle at night as …”
Guthrie: Training-only datacenters cannot serve inference without global networking
“If you are, for example, building one large data center that only does training and it's not connected to a wide area network around the world, that's close to the users, it's hard to use that same infrastructure For inferencing because you can't go faster tha…”
AI datacenters will undergo a massive shift to liquid cooling by 2027
“Well, I think one of the biggest changes that's happening right now from a data center perspective, and you're seeing this with the latest NVIDIA GPUs, and I think you're going to see this in a more profound way over the next two years is the shift from air-co…”
Guthrie: Older Air-Cooled Datacenters Cannot Easily Be Retrofitted for Liquid Cooling
“That's a massive technology change. And it does mean that older data centers that are air cooled, you know, they can't just drop in liquid cooling and be effective.”
Guthrie: Permitting takes longer than construction for US datacenters
“Candidly here in the U S the longest Part of building a data center is getting permitting. It's not actually the construction.”
Guthrie: Azure Revenue Growth Reflects Active Consumption, Not Forward Bookings
“Ultimately the Azure business is you know, we get paid based on consumption. It is, it's a consumption based business. Meaning if people aren't actually. Running something, we don't get paid. It's not like they're pre buying a ton of stuff. You know, we recogn…”
Tokens per watt per dollar will dictate AI cloud infrastructure dominance
“The number of tokens you can get per watt per dollar is going to be the game over the next couple years and maximizing the ability of our cloud to deliver the best Volume of tokens for every watt of power, for every dollar that's spent, where the dollar is spe…”