Nscale's $3.5B pre-IPO raise hinges on $103B contract book

For capital markets participants, Nscale's financing is a live test of how much value investors are willing to assign to contracted AI compute capacity before revenue materializes. The double-digit discount, $30 billion conversion cap, and Goldman Sachs-led process reveal the terms that sophisticated players now demand in AI infrastructure deals.

Nscale, a London-based AI-focused cloud computing provider, is in talks to raise as much as US$3.5 billion in pre-IPO financing, according to people familiar with the matter cited by The Business Times. The proposed structure is unusually explicit: up to US$1.5 billion in convertible notes led by Daniel Loeb's Third Point and about US$2 billion in financing from Nvidia, with Goldman Sachs working on the fundraising. An eventual IPO could raise another US$3 billion, Bloomberg News reported. No deal is final, but the contours alone signal that the AI infrastructure capital cycle has entered a new phase of scale and strategic involvement.

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The proposed structure is unusually explicit: up to US$1.5 billion in convertible notes led by Daniel Loeb's Third Point and about US$2 billion in financing from Nvidia, with Goldman Sachs working on the fundraising.

The financing mechanics are designed to reward early investors while capping dilution. Nscale is offering the convertible notes at the equivalent of the IPO price minus a double-digit percentage point discount. The discount adjusts up to a US$30 billion valuation, above which the conversion price remains the same. That structure effectively gives Third Point and other noteholders a discounted entry into the IPO, with a ceiling on the conversion price that preserves upside if Nscale debuts above the US$30 billion mark. For Nvidia, the potential US$2 billion financing is more than passive capital: it would deepen ties between a leading GPU supplier and a customer that needs access to large quantities of AI accelerators. The strategic alignment is typical of an AI infrastructure market where compute providers and chipmakers are increasingly interdependent.

Nscale's investor pitch is built on a striking contract book. The company is briefing investors that the total value of its contracts is about US$103 billion, following a US$45 billion agreement to provide computing power to Anthropic. It estimates it could generate annual revenue of about US$18.1 billion and annual adjusted EBITDA of around US$13.6 billion, while cautioning that those estimates are illustrative rather than formal guidance. Those figures dwarf the current financials of many established data center operators, underscoring both the demand for AI compute and the speculative nature of long-term capacity commitments. Investors will need to assess whether the contract value translates into recognized revenue, what utilization assumptions underpin the projections, and how counterparty concentration with Anthropic affects risk.

The broader industry context matters. AI cloud providers have been raising billions from both public and private investors to fund GPU-heavy data center buildouts. Nvidia frequently provides financing or investment to customers that commit to large GPU purchases, helping drive demand for its own chips while participating in the value creation of its ecosystem. Nscale's effort, if completed, would rank among the largest pre-IPO AI infrastructure capital raises. It follows a pattern in which AI compute startups pair large customer agreements with vendor-backed debt or equity to fund capital-intensive expansion, then test public markets once scale is visible.