The Ledger, every show

“The part of which makes me feel so confident that there's going to continue to be demand is that we continue to see no end to the scaling laws, which are like the underlying idea that you put more compute in and you get better intelligence levels out of your m…”

“The usable life is longer than the accounting depreciation schedule. And what really matters is the economic usable life. And so what we're starting to see is that like the people who are the naysayers, oh, this is going to be, you're going to throw these GPUs…”

“There's two people in the world that can, and two companies in the world that can do high velocity deployments, SpaceX AI and Lambda”

“The big thing is that cloud compute is not a commodity service. It is a very complicated, highly vertically integrated type of service that spans everything from land, land entitlement, Construction, HPC, high performance computing design, software, virtualiza…”

“I think it's absolutely room for multiple very large players, just like the traditional cloud business has shown that there's room for multiple large winners and multiple large players.”

“Well, I think that we continue to be generally under building.”

“One of the big moats they've got is just The QDNN stack. It's not just CUDA. It's, you know, CUDA is sure. That's like the water we all swim, but like CUDNN has got so many, you know, matrix multiplication, routine optimizations baked into it.”

“The old school traditional legacy cloud business was so latency focused because of some of the applications, but this new fleet of AI applications are far less latency sensitive.”

“You actually look at the chips that we deployed in twenty-twenty-three, H-one hundreds. We're now leasing those out at a higher rate. Now than we were originally in 20, 23.”

“I think it can be matched or beat.”

“I think that for a lot of the pieces of software on your computer, you might see that taking over where, you know, you can get the glimpse of the future with this ASCII art, and then eventually it'll also have a multimodal network that's generating every pixel…”

“I believe that in the future, everybody in the United States will need the computational power of one GPU or more to just do their daily work You know, enjoy life, whether it's getting access, whether it's getting entertained, whether it's being productive, wh…”

“Most of the other NeoClouds either don't have the ability to launch a cluster from their website or max out, I'll say, 32 GPUs.”

“So I don't really foresee a very likely outcome where we have this huge model disruption that would cause a decline in the demand for compute.”

“But broadly in the industry, the thing that is the main bottleneck is basically land-powered shell, which is basically land that is entitled to have a certain amount of megawatt commitment from a utility. And then of course the data center and the mechanical e…”

“Practically no new builds in the United States are using evaporative cooling for doing the, these closed loop direct to chip liquid cooling systems.”

“If you were to talk about the capital stack, let's say you can go back down to power generation, two to three million dollars a megawatt, two to three billion dollars a gigawatt for a power plant. The data center is between 10 and fifteen billion dollars a gig…”

“I would say that generally speaking, when I'm early on something, I tend to be about A decade to a decade and a half early. So I would say that between a decade and 15 years, we will see mass adoption beginning or otherwise happening for neural software.”

“I think a lot of the sort of agent, agentic workflows for things that are not software engineering, I think tend to be overhyped. And I'll tell you that the reason for that is because one of the ways that you get an agentic workflow working really well is that…”

“They're the only server provider, the only chip provider that is available in every single major cloud platform, which is a huge platform advantage.”

“The biggest labs in the world are using multiple different Types of chips to do their inferencing and training on.”

“I think that the, that market is starting to mature that, that, that may be an eventuality is having more complex securities that surround GPUs. But I think for right now, people are starting to realize that it's a great credit investment and that's what's cha…”

“And now it's at, you know, a little bit under a billion dollar revenue run rate. We've fully exited the hardware business.”

“He eventually left and joined another former Lambda team member, Thomas Summers to start Positron, which is an accelerator company. And they're like now valued at over a billion dollars.”

“When you're doing vibe coding with agents, one of the things you'll notice is that your wall clock time, you know, in the world is mostly spent on Running tests, gathering data, searching through code base. A lot of the time is spent actually not just inferenc…”

“Lambda's designed a piece of software that allows us to give you anywhere from 16 up to You know, 4000 GPUs in a web interface.”

“The largest part of that cost structure is the depreciation that is associated with that GPU hour.”

“Generally speaking, when you're doing a training run, you might think that you might be some sort of split between the backwards pass and the forward pass on the model. And the backwards pass might be, let's say, two thirds or more of the compute and the forwa…”

“A lot of the engineers at Lambda are already, you know, doing a fully agent-driven workflow.”