Nvidia Locks In $366 Billion of AI Infrastructure Demand as Quarterly Revenue Doubles
Quarterly revenue doubles to $96.2B as supply agreements surge to $279B
Nvidia disclosed $366 billion in multiyear artificial intelligence infrastructure commitments Wednesday, a figure that dwarfs the company’s current quarterly revenue and signals an unprecedented lock-in of future demand for its chips and systems.
The commitments, detailed alongside fiscal second-quarter results that showed revenue more than doubling to $96.2 billion, rose from $119 billion just three months earlier. The bulk of the increase — $160 billion — came from supply and capacity agreements, primarily to secure memory components needed for the coming years of AI data-center construction.
Chief Financial Officer Colette Kress said the company has “partnered with our extensive network of suppliers to secure the critical components needed to meet demand for the next several years.” The supply commitments now total $279 billion, up from $119 billion last quarter.
On top of the supply agreements, Nvidia disclosed up to $108.5 billion in phased guarantees tied to customer financing arrangements, with $3.5 billion in maximum gross exposure currently on the balance sheet. The guarantees represent potential exposure rather than current losses or payments.
The scale of the commitments reframes the quarterly earnings beat. Revenue of $96.2 billion exceeded the $92.27 billion consensus estimate, driven by Data Center sales that surged 117% to $89 billion. Adjusted earnings of $2.22 per share topped the $2.09 estimate, and gross margins held at 75%.
Yet the commitments figure — nearly four times the quarter’s revenue — suggests the current results capture only a fraction of the demand pipeline Nvidia has contracted.
The physical manifestation of that pipeline appeared in August, when Nvidia agreed to support SB Energy’s PORTS-Pike Technology Campus in Ohio. The site is expected to host Nvidia infrastructure under long-term leases to OpenAI. Kress estimated each generation of infrastructure deployed there could represent approximately 1.5 million Nvidia GPUs, or $150 billion to $200 billion in Nvidia revenue, with multiple upgrade cycles over 20 years.
“AI has reached its inflection point,” CEO Jensen Huang said in a statement. “Its tokens are productive and profitable. Now, compute is revenue, and demand is accelerating.” He described a shift from a single lab driving the buildout a year ago to “a golden age of new AI labs and startups, multiple frontier labs scaling in parallel, a thriving open-model ecosystem and physical AI coming online.”
Nvidia forecast third-quarter revenue of $108 billion, plus or minus 2%, with gross margins of 74%, plus or minus half a percentage point. The midpoint implies another sequential increase from the second quarter’s $96.2 billion.
Shipments of Hopper data-center products to China represented less than 1% of Data Center revenue during the quarter, a negligible contribution that underscores the effectiveness of U.S. export controls on the company’s most advanced chips.
The stock closed regular trading down 1.59% at $209.66 before rebounding to about $217 in after-hours trading, roughly 3.5% above the close. Huang said the company is preparing to meet accelerating demand with its next-generation Vera Rubin platform, now in full production.
“The AI infrastructure buildout is at full steam,” he said. “Vera Rubin, now in full production, was built to power exactly this moment.”
