Nvidia is no longer positioning itself as simply the company selling the chips behind the artificial intelligence boom. It is increasingly using its enormous financial strength to make sure the wider AI industry grows around its technology.

That strategy was once again in focus after Nvidia reported another blockbuster quarter, with CEO Jensen Huang explaining why the company continues to invest heavily across the AI ecosystem, including in companies that are also among its biggest customers.

Nvidia reported revenue of $96.2 billion for its fiscal second quarter, more than double the $46.7 billion recorded a year earlier. Its Data Center business generated $89 billion, up 117% year-on-year, as demand for the computing infrastructure required to build and run AI systems continued to surge.

But beyond the huge revenue numbers, investors are increasingly paying attention to something else: Nvidia's growing financial involvement in the companies and infrastructure projects that ultimately use its chips.

During the company's earnings call, analysts questioned Nvidia about the scale of its investments across the AI industry and whether backing companies such as OpenAI and Anthropic could create problems, particularly as some of those companies are also developing their own custom processors.

Huang's response made Nvidia's strategy clear.

The company does not see itself as simply competing to sell an individual GPU. Nvidia wants its technology to become the platform underneath much of the global AI industry.

"We are building a platform, not a single chip," Huang said during the earnings discussion, arguing that Nvidia's technology covers the entire AI lifecycle and can operate across different cloud providers.

For Nvidia, that means putting its technology wherever AI is being developed - from large language models and cloud computing to robotics, manufacturing, scientific research and physical AI.

The company has been aggressively expanding that ecosystem through investments, partnerships and financing arrangements.

Nvidia has backed companies including OpenAI, Anthropic, CoreWeave and Nebius, while also supporting large-scale infrastructure projects that require enormous amounts of Nvidia computing equipment.

Its relationship with CoreWeave is one example.

Nvidia initially invested in the AI cloud infrastructure company in 2023. CoreWeave's business largely revolves around providing customers access to computing infrastructure powered by Nvidia GPUs. Nvidia later committed another $2 billion investment in CoreWeave in January 2026.

Nvidia has also expanded its relationship with Safe Superintelligence, the AI company founded by former OpenAI chief scientist Ilya Sutskever. The partnership will give the company access to Nvidia's next-generation Vera Rubin computing platform and significantly increase the amount of computing power available for its research.

The strategy creates a powerful cycle for Nvidia.

As more AI companies receive funding and build larger computing systems, they need more processors, networking equipment and software. Nvidia already supplies much of that infrastructure.

By investing in companies developing the next generation of AI products, Nvidia is effectively helping expand the market in which its own technology is used.

Huang has described the opportunity as a rare chance to participate financially in companies that could become some of the most important technology businesses in the world.

He also said one of his regrets was that Nvidia had not invested more, and earlier, in some of these companies.

The strategy, however, has attracted criticism.

Some investors and analysts have questioned whether Nvidia's investments create what is sometimes described as "circular financing."

The concern is relatively straightforward: Nvidia invests money in AI companies or infrastructure providers, and those companies then use significant amounts of capital to purchase Nvidia technology.

That can make it difficult to determine how much demand is coming naturally from customers and how much is being supported by financing from companies already benefiting from the AI boom.

Nvidia has rejected the idea that its investments artificially create demand.

Huang has argued that Nvidia's investments usually represent only a small portion of the total capital required by these companies and that the underlying demand for AI computing remains strong.

The company's latest results appear to support that confidence for now.

Nvidia expects revenue to reach about $108 billion in the third quarter, plus or minus 2%. The company has also said it expects strong growth to continue as its new Vera Rubin platform enters full production.

Nvidia is also working with major financial institutions including Apollo, BlackRock, Blackstone, Brookfield, Goldman Sachs and KKR on independent financing platforms intended to mobilise more than $500 billion in third-party capital for AI infrastructure over time, subject to final agreements.

The bigger picture is becoming increasingly clear.

Nvidia's ambition is no longer just to manufacture the chips used in the AI revolution. It wants to sit at the centre of the entire ecosystem - supplying the computing hardware, software, networking technology and, increasingly, some of the capital required to keep that ecosystem expanding.

That approach carries risks if AI investment eventually slows.

But if AI continues developing into the massive global computing platform Huang expects, Nvidia would not simply benefit from selling more chips.

It would have helped finance, connect and build much of the ecosystem using them.