en.Wedoany.com Reported - Nvidia has introduced a revenue-sharing financing model to help AI cloud providers procure computing infrastructure, expanding access to large-scale AI computing resources for startups, enterprises, researchers, and regional providers.

This model targets the AI market's transition from model development to production inference. AI cloud operators can procure Nvidia infrastructure with credit support and share revenue from cloud services sold on that capacity. Nvidia will receive standard product revenue from infrastructure sales, along with a share of cloud revenue generated by the supported capacity. This structure provides AI cloud operators with a financing pathway for large facilities that are typically difficult to fund, especially for emerging companies lacking the balance sheet strength required for capital-intensive projects.

This model reflects changing AI demand. Demand is no longer concentrated solely on training large models but also includes deploying them into production to serve enterprises, software providers, and AI-native companies that require continuous computing resources for inference, fine-tuning, and related workloads.

Two companies are the first to collaborate with Nvidia under this model. Sharon AI is deploying up to 40,000 Nvidia Grace Blackwell GB300 GPUs. Firmus is building the DSX AI Factory campus in Batam, Indonesia, which is expected to expand to 360 megawatts and house up to 170,000 Nvidia GPUs. These projects demonstrate the scale of infrastructure Nvidia aims to simplify financing and accelerate deployment through a structure tied to future usage.

Access to computing resources has been a persistent constraint in the AI field. Many young companies building models, inference services, or agent platforms require substantial hardware, yet struggle to secure the capital needed to lock in supply, even when they can demonstrate potential demand. Nvidia is breaking this bottleneck by aligning its economic interests more closely with cloud providers serving these customers.

This move also shows how suppliers are adapting to the economic model of AI services. As customer usage increases, model builders, inference providers, and enterprises rely on reliable high-performance computing resources while needing more flexible commercial arrangements. Nvidia cites companies such as Baseten, Fireworks AI, and Together AI as examples of where demand is heading.

James Manning, co-founder and CEO of Sharon AI, said: "This strategic collaboration with Nvidia is a pivotal moment for Sharon AI to realize its mission of providing sovereign, large-scale AI computing infrastructure." Tim Rosenfield, co-CEO of Firmus Technologies, said: "AI-native enterprises need scalable, energy-efficient, and cost-effective computing infrastructure to compete globally. The Firmus AI Cloud is building an AI factory aligned with Nvidia's DSX, which will help more customers access the computing power they need to build and scale AI."