Nvidia reported a 106% year-over-year revenue increase to $96.2 billion, driven by sustained enterprise and hyperscaler AI demand.
Nvidia reported quarterly revenue that more than doubled year-on-year, driven by sustained demand for artificial intelligence infrastructure among cloud providers, technology firms, and AI developers. For its fiscal second quarter ended July 26, 2026, the chipmaker posted $96.2 billion in revenue, marking an 18 percent increase from the previous quarter and a 106 percent jump from the same period last year. Net income rose 126 percent year-on-year to $59.7 billion, while diluted earnings per share climbed 128 percent to $2.46.
Nvidia’s data centre division remained the primary catalyst for this expansion, generating $89 billion in revenue—a 117 percent year-over-year increase that accounted for the vast majority of the company’s total quarterly sales. The figures underscore Nvidia’s central position in the global AI infrastructure boom, as enterprises continue to allocate substantial capital toward GPUs and specialized computing hardware required to train and operate advanced AI models.
“AI has reached its inflection point,” founder and CEO Jensen Huang stated, arguing that the growing use of AI means computing infrastructure is translating directly into revenue. Highlighting this momentum, Nvidia confirmed that its Vera Rubin platform—the next-generation AI computing architecture succeeding Blackwell—has entered full production. Systems built on the new architecture are already being deployed by major cloud providers, including Microsoft Azure, Google Cloud, Oracle Cloud Infrastructure, CoreWeave, and Nebius. Nvidia is positioning Vera Rubin as the foundational layer for the upcoming phase of AI infrastructure, particularly as autonomous AI agents and increasingly complex models demand significantly greater computational capacity.
In parallel, the company unveiled the Vera CPU, engineered specifically for AI workloads, and announced that its Groq 3 LPX inference accelerator has also moved into full production. These developments signal a strategic evolution beyond its traditional role as a GPU manufacturer, as Nvidia positions itself as a comprehensive AI infrastructure provider spanning processors, networking, memory, software, and integrated computing systems.
Looking ahead, Nvidia expects the current trajectory to persist, forecasting $108 billion in revenue for its fiscal third quarter, plus or minus two percent. This projection explicitly excludes any data-centre computing revenue from China. The guidance comes despite ongoing export restrictions on advanced AI chips to Beijing, which remains one of the world’s largest technology markets. Investors reacted strongly to the results, with Nvidia shares recording their strongest post-earnings performance in approximately two years. According to MarketWatch, the company’s market valuation surged by more than $440 billion during Thursday’s trading session. Market expectations have grown increasingly ambitious; analysts note that Nvidia’s outlook implies revenue could expand by more than 70 percent in the fiscal year ending January 2028, prompting speculation that the company could eventually approach $1 trillion in annual revenue.
Despite the robust financial performance, Nvidia is facing heightened scrutiny regarding its broader investment strategy within the AI ecosystem. Reuters reported that the company has temporarily paused certain transactions under a recently launched financing initiative designed to extend credit support to smaller AI cloud providers in exchange for a percentage of their future revenue. The program aims to facilitate chip purchases by improving financing access for cloud operators while creating an additional revenue stream for Nvidia. Under some proposed structures, Nvidia could capture up to 50 percent of revenue generated above a specified threshold. Critics have raised concerns that these investments in AI startups and infrastructure providers may foster circular financing arrangements, artificially inflating perceived demand for Nvidia’s hardware. In response, Nvidia has defended its approach, maintaining that its strategy to expand computing access remains intact and is simply adapting to unprecedented market demand.
Ultimately, Nvidia’s latest results reinforce the conclusion that the AI infrastructure build-out continues to serve as one of the most powerful drivers in the technology sector. By not only supplying silicon but also actively financing, constructing, and architecting the underlying infrastructure required to sustain AI deployment, Nvidia is cementing its role at the core of the supply chain. Its deep partnerships with leading cloud providers, the seamless transition from Blackwell to Vera Rubin, and its concerted efforts to broaden computing accessibility collectively illustrate a deliberate strategy to maintain its dominant position as the industry scales.