Nvidia's $500 billion GPU bet: compute is the new asset
·2 min read·Intermediate
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Imagine investing not in stocks or real estate, but raw computing power. Nvidia, alongside financial behemoths, is making that a reality.
In 30 seconds
01Nvidia and six financial giants committed $500 billion for a new scheme.
02They aim to turn computing power (compute) into a recognized "asset class."
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What this means for you
For you, the average user, this means AI services might become more accessible or efficient, as companies gain more resources to develop them. Or, more likely, it will create another layer of financial intermediaries sucking value out of the system.
Smart search engine Perplexity AI needs serious muscle to grow. They just found it in Crusoe, who'll rent them a whole lot of computing power for years.
·2 min·2·Beginner
03This will finance access to expensive GPUs for AI companies, but comes with a price.
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Who's funding this "compute" revolution?
Six of the biggest names in global finance, including BlackRock and Goldman Sachs, have teamed up with Nvidia. Their goal is to mobilize a staggering $500 billion for an idea that sounds like sci-fi, but is very real. These giants are Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR.
They aren't just investing; they're creating an entirely new market. The premise is that computing power, especially Nvidia's GPUs essential for AI, can be treated as a valuable asset, much like gold or oil. It's an ambitious move, to say the least.
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What does "compute as an asset" actually mean?
Basically, GPUs-those incredibly expensive graphics cards that power artificial intelligence-will be considered an "asset" to invest in. Just like real estate or stocks, "compute" can now be bought, sold, or leased. This initiative aims to unlock significant capital.
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Nvidia's initiative with six financial giants aims to classify GPU computing power as a financial asset. So, instead of physically buying GPUs, AI companies can access this computing power through complex financial instruments. A fancy way to say: "you don't have to buy the horse, we'll rent you the racetrack."
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Why should we care about this?
For AI startups or companies, this is both a blessing and a curse. On one hand, access to GPUs, which cost an arm and a leg, becomes easier. They no longer have to shell out millions for hardware, but can "rent" the necessary power.
This financial model could make initial AI infrastructure more accessible for startups. On the other hand, this "democratization" of compute isn't free. It risks creating a system where companies become dependent on these new "lords of compute." Whoever controls the means of production-in this case, computing power-holds the power. Aren't we just putting a new label on an old problem here?
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