- Nvidia's latest 10-Q for the quarter ending April 2026 indicates revenue concentration: three customers accounted for 21%, 17%, and 16% of revenue and 64% of accounts receivable in total.
- Nvidia announced an agreement with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR to create a financing platform for AI infrastructure; CEO Jensen Huang said, “In AI, compute is revenue. NVIDIA compute is uniquely suited for this role.”
- Consensus estimates put data center revenue at $85.7 billion (range: $83.5B–$91.5B) and total revenue at $92.2 billion.
- Nvidia’s Groq 3 LPX entered full production after the quarter ended; forward guidance on customer adoption, production capacity, and integration with Rubin systems is expected.
- Projections for Rubin systems, shipping in the fall, will shed light on the Blackwell-to-Rubin transition and test market elasticity based on up to 10 times lower inference cost per token; Morgan Stanley estimates Rubin’s contribution of nearly $9 billion in the quarter ending in October.
Nvidia, the world’s largest company by market capitalization, reported earnings on August 26, showcasing its pivotal role in the AI boom.
Data center revenue is projected at $85.7 billion, with total revenue expected to reach $92.2 billion. This growth is driven by the increasing demand for Nvidia's semiconductor chips from frontier AI labs and major tech companies, which are essential for building the computing capacity necessary to enhance productivity and support U.S. economic growth.
The upcoming launch of Rubin systems is anticipated to further solidify Nvidia's market position. These systems, which are set to ship in the fall, are expected to offer up to 10 times lower inference costs per token compared to previous models, marking a significant advancement in AI technology.567
According to Morgan Stanley, Rubin is projected to contribute nearly $9 billion in revenue for the quarter ending in October. This transition from Blackwell to Rubin is crucial for Nvidia as it navigates the evolving landscape of AI infrastructure.
CEO Jensen Huang emphasized the company's strategy, stating, “In AI, compute is revenue. NVIDIA compute is uniquely suited for this role.” As Nvidia continues to innovate and expand its offerings, its earnings serve as a scorecard for the broader AI boom, reflecting the growing reliance on advanced computing solutions across various industries.
“Nvidia's latest 10-Q shows revenue concentration, with three customers accounting for 21%, 17%, and 16% of revenue and 64% of accounts receivable. The company also announced a financing platform with Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs, and KKR, as CEO Jensen Huang said, "In AI, compute is revenue."”
Forbes
