Nvidia has launched a new revenue-sharing partnership program designed to provide fast-growing artificial intelligence startups with critical computing resources in exchange for a portion of their future product and cloud revenues. Announced Thursday, the initiative aims to alleviate the persistent liquidity and compute access challenges that have constrained emerging AI developers. Under the scheme, participating companies receive token credits to power their operations, while Nvidia facilitates direct access to full-stack infrastructure built around its graphics processing units. Two infrastructure providers were named as initial deployment partners to execute the program. Australia-based Sharon AI will deploy up to 40,000 Nvidia GPUs to support the initiative, while Singapore-headquartered Firmus Technologies is constructing a data center in Batam, Indonesia. The Batam facility is slated to scale to 360 megawatts of capacity, ultimately housing up to 170,000 Nvidia GPUs. These deployments underscore the strategic importance of scalable compute availability as the industry grapples with GPU shortages that have been compared to oil futures in terms of market volatility and supply constraints. The partnership model reflects a broader industry shift as AI firms navigate tightening capital markets. Chipmakers and cloud providers are increasingly adopting revenue and equity-sharing arrangements to circumvent liquidity shortfalls while securing long-term compute commitments. This trend has drawn major players across the sector, including partnerships involving OpenAI, Amazon, and AMD. Nvidia’s move simultaneously positions the company as a central intermediary in the AI ecosystem, bridging the gap between infrastructure developers and application builders. The announcement coincides with broader financial maneuvers by the chipmaker. Earlier this month, Nvidia disclosed plans to raise up to $20 billion in debt financing, with proceeds allocated to general corporate purposes and the refinancing of existing obligations. The revenue-sharing program and accompanying infrastructure expansion reinforce Nvidia’s strategy to entrench its hardware across the AI value chain while mitigating customer cash flow constraints through shared economic models. As GPU demand continues to outpace supply, such partnerships are expected to become a standard mechanism for sustaining rapid development cycles in the artificial intelligence sector.