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Nvidia weighs playing the cosigner for Nscale's AI data center

Nvidia weighs playing the cosigner for Nscale's West Virginia AI data center, potentially guaranteeing billions in debt financing to secure a major customer for its chips.


Nvidia weighs playing the cosigner for AI cloud provider Nscale's planned Anthropic data center in West Virginia, according to recent reports. This potential arrangement would mark a significant shift in Nvidia's financial backing strategy, as the company would essentially be co-signing loans for one of its major customers. The stakes are high in the rapidly expanding AI infrastructure space, and Nvidia's involvement could help keep Nscale's ambitious buildout plans on track despite growing investor concerns about the massive amounts of capital involved.

Nvidia's role as financial backer in AI infrastructure

Under what's known as a residual value guarantee, Nvidia would step in if Nscale defaulted on construction payments, temporarily take over the facility, and help find a buyer and new tenant. This goes beyond Nvidia's typical support for cloud providers, which has mostly covered leases and chip purchases rather than construction financing. The proposed arrangement would specifically help Nscale secure financing for the electricity and construction costs of its West Virginia campus, which is expected to use Nvidia's next-generation Vera Rubin chips.

The discussions come at a critical time for both companies. Nscale is seeking to go public at a valuation of up to $35 billion, while Anthropic has signed a $44.6 billion contract for the project's first building alone. The companies are also discussing a second deal worth roughly $45 billion for another building. This level of commitment shows how deeply entangled the AI industry has become in complex financial arrangements to support its expansion.

Nvidia weighs playing the cosigner for troubled AI infrastructure

Nscale has faced significant challenges in getting its projects off the ground. As of August, the company had only about 25,000 advanced AI chips running, a fraction of the nearly 500,000 it plans to deploy. Its West Virginia campus has encountered environmental issues, with runoff from the construction site flooding nearby homes more than once. After months of negotiations, the project finally won state certification in September.

The financial pressures aren't limited to Nscale. Neoclouds, which rent out AI computing power without a cash-rich core business behind them, have come under increasing scrutiny from investors. Shares of CoreWeave, Nebius, and IREN had each fallen more than 30% in October, reflecting growing concerns about the sustainability of their business models. This broader industry context makes Nvidia's potential involvement even more significant.

Nvidia has already been a major financial backer of the AI sector, extending roughly $170 billion in investments and credit support to neoclouds and large customers. This includes $1 billion in convertible financing committed to Nscale in September. The proposed guarantee would deepen these financial ties while helping secure a major customer for Nvidia's chips.

The situation also reflects Anthropic's own strategic positioning. As one of the largest buyers of AI computing power, Anthropic has spread its infrastructure spending across multiple chipmakers. One investor noted that Anthropic's involvement likely explains Nvidia's interest in keeping Nscale's project on track. At the same time, Anthropic faces questions about how it will finance its rapid expansion, especially after Blackstone warned that the company may receive a below-investment-grade credit rating following its IPO.

As the AI industry continues its explosive growth, we're seeing increasingly complex financial arrangements that go beyond simple hardware sales. What other creative financing solutions might we see as companies scramble to build the infrastructure needed to power the next generation of AI applications? How I give my apps away for free might seem unrelated, but it shows how different business models can emerge in tech spaces. Similarly, AI agents you can text represent another innovative approach to delivering AI capabilities.

Source: TechCrunch

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