Nvidia is broadening its role in the artificial intelligence industry beyond designing the chips powering the AI revolution, unveiling a new revenue-sharing initiative that will allow fast-growing startups to exchange future earnings for access to high-performance computing infrastructure.
The strategy stemmed from the company’s ambition to become not just the dominant supplier of AI hardware but also a long-term financial partner to the next generation of AI companies.
The initiative, announced on Thursday, comes as access to computing power has become one of the biggest constraints on AI development globally. Training and deploying advanced AI models requires enormous numbers of graphics processing units (GPUs), most of which are supplied by Nvidia. That scarcity has created an environment where compute capacity has become as valuable as capital, prompting startups to seek alternative financing arrangements that reduce upfront infrastructure costs.
Under the new partnership program, Nvidia will provide eligible AI startups with token credits that grant access to computing infrastructure powered by its chips. Instead of paying entirely in cash, participating companies will share a portion of future product revenue and cloud-services income with Nvidia, creating a financing model that aligns the chipmaker’s returns with the commercial success of its customers.
The arrangement effectively transforms Nvidia from a hardware supplier into an infrastructure financier, enabling promising AI companies to scale faster while giving Nvidia exposure to the future revenues of businesses built on its technology.
The company said the program is designed for cloud-native AI companies, foundation model developers and enterprise AI firms. Nvidia will act as an intermediary, helping startups secure full-stack computing infrastructure that combines its industry-leading GPUs with networking, software and cloud resources.
Building An AI Ecosystem, Not Just Selling Chips
The latest initiative underpins how Nvidia is steadily expanding its influence across every layer of the AI value chain. For years, the company generated most of its revenue by selling GPUs to hyperscale cloud providers such as Amazon Web Services, Microsoft Azure, Google Cloud, and Oracle Cloud. Those companies, in turn, rented computing capacity to AI developers.
The new model allows Nvidia to participate more directly in the growth of AI startups themselves, giving it exposure to recurring revenue rather than relying solely on hardware sales.
Industry analysts have described Nvidia as evolving into an AI infrastructure platform rather than simply a semiconductor manufacturer. The company now offers chips, networking equipment, software frameworks such as CUDA, AI development platforms, cloud partnerships and, increasingly, financial structures that help customers gain access to computing resources.
The strategy also strengthens customer loyalty by tying startups more closely to Nvidia’s technology stack from the earliest stages of development.
Nvidia named two Australian companies as the initial infrastructure partners supporting the program. Sharon AI plans to deploy up to 40,000 Nvidia GPUs, providing large-scale computing resources for participating startups.
Meanwhile, AI infrastructure company Firmus Technologies is building a major data center in Batam, Indonesia. Once completed, the facility is expected to scale to 360 megawatts of power capacity and accommodate as many as 170,000 Nvidia GPUs, making it one of Southeast Asia’s largest AI computing hubs.
The expansion highlights Nvidia’s efforts to diversify AI infrastructure geographically as demand for computing power accelerates across Asia-Pacific.
AI industry executives now see GPUs as the “new oil” because computing power has become the critical resource determining which companies can build competitive AI systems.
Demand has grown so rapidly that access to GPUs has become a strategic advantage, with some industry participants reportedly treating compute capacity almost like financial assets through arrangements resembling futures contracts that lock in future access and pricing. Unlike previous technology cycles where capital was often the primary bottleneck, today’s AI startups frequently cite access to computing resources as their biggest challenge.
By allowing startups to exchange future revenue for immediate compute access, Nvidia is addressing one of the sector’s most significant constraints while expanding its own long-term growth opportunities.
Alternative Financing Gains Traction Across AI
Revenue-sharing agreements have become increasingly common as AI companies grapple with enormous infrastructure costs. Training frontier AI models can require investments running into hundreds of millions or even billions of dollars, making traditional financing insufficient for many startups. Instead, developers are increasingly turning to strategic partnerships involving revenue sharing, equity investments, and infrastructure financing.
OpenAI has entered into several strategic agreements involving investments and partnerships with companies including Amazon and AMD as it expands its AI infrastructure. Across the industry, companies are seeking ways to secure long-term computing capacity without placing excessive strain on their balance sheets.
For Nvidia, the model also creates an opportunity to benefit financially from the rapid expansion of AI applications long after its chips have been delivered. Earlier this month, the company disclosed plans to raise debt that sources said could total at least $20 billion. Nvidia said the proceeds would be used for general corporate purposes, including refinancing existing debt, while giving it additional financial flexibility as demand for AI infrastructure continues to surge.
The financing underlines Nvidia’s confidence that AI investment remains in its early stages, with hyperscale cloud providers, governments and enterprises expected to spend hundreds of billions of dollars over the coming years on data centers and advanced computing infrastructure. That spending wave has already transformed Nvidia into one of the world’s most valuable companies and the undisputed leader in AI semiconductors.
The revenue-sharing initiative indicates the company now wants to capture value beyond chip sales by participating directly in the commercial success of AI startups.
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