Zankore Secures $3.1 Billion Financing Backed by Nvidia Credit Support

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Indonesian artificial intelligence infrastructure platform Zankore has finalized a massive $3.1 billion loan to purchase Nvidia graphics processing units, marking one of the largest technology financing deals in Asia. The transaction was underwritten by major financial institutions including Citigroup, ING, Natixis, Qatar National Bank, and United Overseas Bank, with Citigroup acting as the exclusive debt adviser. The capital will fund the construction of an artificial intelligence factory that begins at 100 megawatts and scales up to 1 gigawatt. Uniquely, Nvidia incorporated a credit-support and revenue-sharing mechanism into the agreement. According to Zankore chairman Vikram Sinha, this arrangement bridges the financial gap, allowing smaller enterprises to access critical compute capacity on demand rather than limiting availability strictly to investment-grade clients. Nvidia initially rolled out this collaborative framework in July to broaden data center accessibility for emerging artificial intelligence developers across the market.

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Indonesian AI infrastructure platform Zankore has secured a $3.1 billion loan to make a massive purchase of Nvidia GPUs. The deal includes a support model where Nvidia shares credit risk and introduces a revenue-sharing structure to expand AI computing accessibility even for small and medium-sized enterprises. Investors evaluate that Nvidia's aggressive infrastructure financial support will drive the expansion of the Asian AI ecosystem and GPU demand.

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As Nvidia shares credit risk and combines a revenue-sharing structure in Zankore's $3.1 billion loan, the GPU demand base has expanded to SMEs lacking financial power, securing structural momentum for sustained hardware sales growth. The participation of global major banks like Citigroup in underwriting, which enhances the reliability of infrastructure funding, is also positive.

In the bullish scenario, demand for AI factories in the Asian region could expand to 1 gigawatt, accelerating Nvidia's data center revenue, while in the bearish scenario, the potential default risk of the credit support model could burden Nvidia's financial health. Key indicators to watch include the utilization rate of computing services for SMEs and trends in provisions related to Nvidia's credit guarantees.

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