Everyone knows that the AI boom is built upon the voracious consumption of chips (largely sold by Nvidia) and electricity. And while the legacy cloud operators, like Amazon or Microsoft, are in this space, the nature of the computing shift is opening up new space for new players in the market. One of the hottest companies is CoreWeave, a company backed in part by Nvidia, which has grown its datacenter business massively. So how does their business actually work? How do they get energy? Where do they locate operations? How are they financed? What's the difference between a cloud AI and a legacy cloud? On this episode, we speak with CoreWeave's Chief Strategy Officer Brian Venturo about what it takes to build out operations at this scale.

Everyone knows that the AI boom is built upon the voracious consumption of chips (largely sold by Nvidia) and electricity. And while the legacy cloud operators, like Amazon or Microsoft, are in this space, the nature of the computing shift is opening up new space for new players in the market. One of the hottest companies is CoreWeave, a company backed in part by Nvidia, which has grown its datacenter business massively. So how does their business actually work? How do they get energy? Where do they locate operations? How are they financed? What's the difference between a cloud AI and a legacy cloud? On this episode, we speak with CoreWeave's Chief Strategy Officer Brian Venturo about what it takes to build out operations at this scale.

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday and Thursday.

Bloomberg's Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets and economics. Join the conversation every Monday and Thursday.

Bloomberg's Joe Weisenthal and Tracy Alloway analyze the weird patterns, the complex issues and the newest market crazes. Join the conversation every Tuesday and Thursday for interviews with the most interesting minds in finance, economics and markets.

Odd Lots

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday and Thursday. 

On Bloomberg’s Odd Lots podcast Joe Weisenthal and Tracy Alloway explore the most interesting topics in finance, markets, and economics. Join the conversation every Monday and Thursday.

CoreWeave's CSO on the Business of Building AI Datacenters

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/d27ab234-5c99-4dbd-98b7-b195014cf0c0/transcript

 From cars to toys to clothes, we're just used to seeing the label "Made In China" on all sorts of things. But how did China become a go-to destination for manufactured goods in the first place? Who actually recognized that there was a huge opportunity to tap the abundant, low-cost labor to sell goods to Western consumers? On this episode of the podcast we speak with Elizabeth Ingleson, a professor at the London School of Economics and the author of the book Made in China: When US-China Interests Converged to Transform Global Trade. Ingleson traces the roots of the US-China trade relationship to a handful of US entrepreneurs in the early 1970s who first went into the country and recognized its opportunity as an export powerhouse. We discuss who these individuals were, the obstacles they had to overcome, and how they reshaped the entire global economy.

From cars to toys to clothes, we're just used to seeing the label "Made In China" on all sorts of things. But how did China become a go-to destination for manufactured goods in the first place? Who actually recognized that there was a huge opportunity to tap the abundant, low-cost labor to sell goods to Western consumers? On this episode of the podcast we speak with Elizabeth Ingleson, a professor at the London School of Economics and the author of the book Made in China: When US-China Interests Converged to Transform Global Trade. Ingleson traces the roots of the US-China trade relationship to a handful of US entrepreneurs in the early 1970s who first went into the country and recognized its opportunity as an export powerhouse. We discuss who these individuals were, the obstacles they had to overcome, and how they reshaped the entire global economy.

The American Entrepreneurs Who First Opened The Chinese Market

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/34384770-d565-4eae-9fa1-b19b011a9a9e/transcript

The stock market has had a torrid run in 2024 despite the fact that interest rate cuts haven't materialized in the way people had expected at the start of the year. In fact, outside of a few blips here and there (like spring 2020), US stocks have been phenomenal performers for years. Tom Lee, the founder of Fundstrat and FS Insight has been bullish for a long time, having caught the correct side of this lengthy trend. On this episode, we speak to the former JPMorgan strategist about how he thinks about the market, what he sees happening right now in macro and demographic trends, and why he thinks it’s plausible that the market could roughly triple in the next six years.

The stock market has had a torrid run in 2024 despite the fact that interest rate cuts haven't materialized in the way people had expected at the start of the year. In fact, outside of a few blips here and there (like spring 2020), US stocks have been phenomenal performers for years. Tom Lee, the founder of Fundstrat and FS Insight has been bullish for a long time, having caught the correct side of this lengthy trend. On this episode, we speak to the former JPMorgan strategist about how he thinks about the market, what he sees happening right now in macro and demographic trends, and why he thinks it’s plausible that the market could roughly triple in the next six years.

Why Tom Lee Thinks We Could See S&P 15,000 by 2030

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/2bbe3361-90b2-4dcd-9b11-b1960127ef32/transcript

Virtually everyone, across the ideological spectrum, has the view right now that it's too hard to build things (or get things done generally) in America. New infrastructure is thwarted by red tape and permitting. New housing is thwarted by YIMBYism. Even something that doesn't require much new construction -- like NYC's attempt to impose congestion pricing -- is difficult to get done after years and years of wrangling. What is the core problem? And what can be done to address it? On this episode, we speak with John Arnold, who started his career as an energy trader at Enron, before going on to found a highly successful energy hedge fund. Now in his role as the co-founder of Arnold Ventures, he works on policy solutions to address these key bottlenecks. We discuss how he goes about philanthropy to affect policy change, the problems he's identified, and what solutions could be put in place to improve domestic development.

Virtually everyone, across the ideological spectrum, has the view right now that it's too hard to build things (or get things done generally) in America. New infrastructure is thwarted by red tape and permitting. New housing is thwarted by YIMBYism. Even something that doesn't require much new construction -- like NYC's attempt to impose congestion pricing -- is difficult to get done after years and years of wrangling. What is the core problem? And what can be done to address it? On this episode, we speak with John Arnold, who started his career as an energy trader at Enron, before going on to found a highly successful energy hedge fund. Now in his role as the co-founder of Arnold Ventures, he works on policy solutions to address these key bottlenecks. We discuss how he goes about philanthropy to affect policy change, the problems he's identified, and what solutions could be put in place to improve domestic development.

John Arnold on Why It's So Hard To Build Things in America

https://api.omny.fm/orgs/e73c998e-6e60-432f-8610-ae210140c5b1/clips/6146ee0d-6791-455d-ae45-b193012e9e67/transcript

CoreWeave's CSO on the Business of Building AI Datacenters

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