Indonesian AI infrastructure venture Zankore has secured a massive \$3.1 billion senior term loan facility. The landmark deal comes amid surging demand for generative AI across Southeast Asia and the introduction of a groundbreaking credit-enhanced financing model backed by U.S. chipmaker NVIDIA.

An Unprecedented $3.1 Billion Financing Secured Just 34 Days After Launch

On September 9, 2026, Zankore, an AI compute platform based in Jakarta, Indonesia, announced that it had secured a senior term loan facility of up to \$3.1 billion. Established on August 6, 2026, the newly minted venture closed one of the largest AI infrastructure debt financings in the Asia-Pacific region just 34 days after its official launch.

Citigroup served as the sole debt adviser for the transaction, with a syndicate of major global financial institutions—including ING Group, Natixis CIB, Qatar National Bank, and United Overseas Bank (UOB)—acting as senior mandated lead arrangers, underwriters, and bookrunners. Rather than equity financing that dilutes ownership, the choice of a long-term senior debt facility underscores the banking sector’s strong confidence in the predictable cash flows of leased generative AI hardware. The funds will be fully allocated toward acquiring state-of-the-art graphics processing units (GPUs) and constructing hyperscale data center facilities.

A Massive Infrastructure Blueprint: Scaling from 100 MW to 1 GW

The loan proceeds will be used to procure advanced NVIDIA GPUs at scale and build out high-performance data center capacity branded as the “NVIDIA DSX AI Factory.” In its first phase, Zankore is deploying an initial 100 megawatts (MW) of AI computing infrastructure in Indonesia, targeting roughly 200 MW of operational capacity by the first half of 2027.

Over the medium to long term, the company aims to scale its regional compute platform to a massive 1 gigawatt (GW)—or 1,000 MW—across Southeast Asia. Designed to handle end-to-end workloads, the platform will support everything from foundational model pre-training and fine-tuning to inference and autonomous agentic AI deployments. As illustrated in the diagram below, these flexible AI compute resources will be made available to cloud service providers, tech startups, large enterprises, and academic research institutions.

This massive influx of compute capacity is expected to dramatically elevate Southeast Asia’s entire AI development ecosystem.

A Powerful Consortium Uniting Global Telecom Giants and NVIDIA

Zankore’s rapid trajectory is powered by a robust consortium combining global leaders in telecommunications and technology. Qatari telecom giant Ooredoo Group holds a 49% stake in Zankore and has already committed approximately \$800 million in capital to the venture.

The broader shareholder structure includes Indosat Ooredoo Hutchison—Indonesia’s second-largest mobile operator—alongside NVIDIA and Finnish telecommunications vendor Nokia. Under the leadership of Chairman Vikram Sinha, each partner contributes distinct core competencies. Indosat and Ooredoo manage land acquisition, power procurement, fiber connectivity, and regulatory navigation, while Nokia integrates ultra-high-speed network infrastructure and NVIDIA supplies its cutting-edge GPU architectures.

Financial Model Innovation, Geopolitical Context, and Future Outlook

NVIDIA’s Credit-Enhanced Financing Model Reinvents Hardware Debt

A defining feature of this transaction is the novel credit enhancement framework designed by NVIDIA to mitigate financial risk for commercial lenders. Traditionally, commercial banks have been hesitant to provide direct debt financing for semiconductor hardware due to rapid GPU deprecation, uncertain collateral residual value, and geopolitical risks surrounding U.S.-China technology trade friction.

To bridge this gap, NVIDIA extended to this deal the revenue-sharing and credit-support mechanism it introduced across Asia in July 2026. By absorbing a portion of the credit risk and backing customer demand structures, NVIDIA effectively de-risked the loan for syndicate banks. This innovative structure allows high-performance computing resources to reach beyond North American hyperscalers, creating an accessible ecosystem for small-to-medium AI developers and startups across Southeast Asia on an on-demand basis.

Indonesia’s Sovereign AI Strategy: Balancing Data Governance and Economic Growth

Indonesia’s selection as the launchpad for regional AI infrastructure is driven by its massive demographic footprint and rapid digital adoption. Home to 280 million citizens, 200 million internet users, and a \$1.4 trillion GDP, the country generates vast daily data volumes through digital champions such as super-app Gojek and e-commerce giant Tokopedia.

Under initiatives like “Making Indonesia 4.0” and “Golden Vision 2045,” the Indonesian government targets an AI economic contribution equal to 9.7% of GDP by 2030. Concurrently, authorities are tightening data sovereignty frameworks to prevent unauthorized cross-border data transfer, enforced by Government Regulation 71/2019 on data localization and the Financial Services Authority’s (OJK) AI Governance Guidelines for Banking released in April 2025. As illustrated in the diagram below, building domestic sovereign AI infrastructure has become vital to achieving national security alongside economic growth.

Future Outlook: Operational Execution and Geopolitical Compliance Risks

Zankore’s deployment plan begins with bringing 200 MW online in early 2027 before expanding across Southeast Asia. However, long-term success hinges on addressing several critical operational challenges across the archipelagic nation, including power grid stability, sustainable liquid cooling solutions, and specialized technical talent development.

Geopolitical compliance remains another vital factor. While Indonesia is currently not subject to direct U.S. GPU export restrictions, U.S. regulators are increasing scrutiny over offshore compute access arrangements—often referred to as “compute laundering”—where foreign entities route training workloads through third-country data centers. For Zankore to establish itself as a trusted regional AI hub, maintaining stringent identity-anchored access controls and compliance standards while delivering scalable infrastructure will be paramount.

References

• 【OJK Artificial Intelligence Governance for Banking】https://ojk.go.id/en/Publikasi/Roadmap-dan-Pedoman/Perbankan/Pages/Indonesia-Artificial-Intelligence-Governance-for-Banking.aspx

【#Tech #AI #NVIDIA #Indonesia #DataCenter #Semiconductors #Financing #SoutheastAsia】