Pricing for the longest 30-year tranche is being discussed at a spread of about 0.9 percentage points above comparable US Treasuries . The offering is being managed by three major bookrunners: JPMorgan Chase, Goldman Sachs, and Morgan Stanley .
All bonds are investment-grade, a clear distinction from a separate, earlier financing deal. In February 2026, a data center project that Nvidia plans to lease was funded by a $3.8 billion junk bond sale, which attracted roughly $14 billion in investor orders, signaling strong market appetite for AI-linked debt .
Nvidia's decision to borrow might seem counterintuitive given its financial health. The company reported $13.24 billion in cash and cash equivalents for the quarter ending April 2026 and generates immense profits from its dominant position in AI chips . However, the company stated that proceeds from the bond sale will be used for “general corporate purposes, including the repayment and refinancing of outstanding debt” . Broader reporting connects the capital raise to the immense costs of its AI expansion, including research and development, supply chain prepayments, and strategic investments .
This move is not a sign of financial distress, as one report noted, but rather a reflection of the "frantic nature of the free-for-all to claim AI market share" . For projects with return horizons spanning multiple years or even a decade, long-term debt is a standard corporate tool for managing cash flow while pursuing expensive, multi-year infrastructure bets .
Nvidia is far from alone in tapping debt markets. A wave of technology companies, including Alphabet and Amazon, have been flooding the bond market with hundreds of billions of dollars in sales to finance the construction of data centers and other AI infrastructure . Nvidia, which supplies the essential chips for these projects, is now joining its customers in securing long-term funding to keep pace with the AI buildout. The firm’s last corporate bond sale was in June 2021, when it raised just $5 billion—a fraction of the current target, reflecting how dramatically its capital needs have scaled with the generative AI revolution .