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Nvidia has $13B in cash. Why did it just borrow $25B more?

NVIDIA
Image credits: NVIDIA
  • Nvidia raised $25 billion by selling bonds, even though it already has more than $13 billion in cash. This is its first debt deal since 2021.
  • Investors wanted to buy $85 billion worth of bonds, which was over three times the amount Nvidia planned to offer. This strong demand led Nvidia to increase the deal from its original $20 billion target.
  • The bigger question is what Nvidia’s move says about the next stage of AI development.

Nvidia just borrowed $25 billion, which seems unusual since it doesn’t actually need the cash.

Nvidia, the leading AI chip maker, completed its first bond sale since 2021. The company raised money through seven different bond offerings, with some maturing as late as 2056. Investors wanted $85 billion worth of bonds, so Nvidia increased the deal from the original $20 billion plan.

Goldman Sachs, JPMorgan, and Morgan Stanley managed the bond sale.

Why is a cash-rich company raising debt?

At the end of its most recent quarter on April 26, 2026, Nvidia had $13.24 billion in cash and another $37 billion in marketable debt securities. Altogether, it held over $50 billion in liquid assets.

A company with that much cash isn’t borrowing $25 billion because it’s short on funds. Instead, it’s making sure it can act quickly when new opportunities come up.

Sources told Reuters that Nvidia’s main goal wasn’t to fund a specific project. Instead, the company wanted to set a clear market rate for its borrowing costs, giving investors a reference point for lending to such a valuable company. A spokesperson said the money will go toward general corporate needs, including refinancing and paying off existing debt.

While that explanation might sound ordinary, it’s actually important. By setting a clear borrowing rate, Nvidia gives itself the option to raise more money quickly and at known costs if the AI race speeds up. 

With how things are going, this looks more like planning ahead than just being cautious.

The AI spending wave Nvidia is riding

Industry estimates say that major tech companies will spend over $700 billion on AI this year, up from about $400 billion in 2025. Microsoft, Amazon, Google, and Meta are building data centers faster than ever before.

All of these new data centers need chips, and right now, Nvidia is the company everyone turns to for them.

Nvidia’s graphics chips are now the main hardware behind large language models, generative AI, and business AI systems. The company is also speeding up how quickly it releases new processors, which keeps customers loyal and competitors trying to catch up.

Each new generation of Nvidia chips offers much better performance for training and running advanced AI models. For companies already using Nvidia’s technology, switching to another provider is becoming more expensive and difficult.

Why bond investors piled in with $85B

Unlike the big tech companies spending huge amounts on AI infrastructure, Nvidia is further up the supply chain. It provides the key components for these systems, so it benefits from the AI boom without having to spend as much as the companies building the infrastructure. This advantage is one reason investors were so eager.

When investors order $85 billion worth of bonds for a $25 billion deal, it’s a clear sign they believe Nvidia will be important for years to come.

Nvidia’s chips are at the heart of data centers run by Microsoft, Amazon, Google, Meta, OpenAI partners, and many other companies. As the need for computing power grows and demand stays ahead of supply, Nvidia’s position becomes even stronger.

What comes next

This bond sale is less about raising money and more about showing Nvidia’s intentions. The company isn’t borrowing because it’s short on cash. It’s preparing for an even bigger wave of AI growth and wants to be ready to act quickly when needed.

With $700 billion in AI spending expected this year and Nvidia as the main supplier, the real question wasn’t if investors would be interested, but how many would want in.

The answer, it turns out, was a lot.

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