UOB Joined $3.1 Billion GPU Credit Facility

The bank partnered with global lenders to fund AI infrastructure for the platform ZanKore.

Updated on Sept. 22, 2026 in Data Centers

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UOB has joined a $3.1 billion syndicate led by global lenders to finance high-performance graphics processing units for the ZanKore AI infrastructure platform. AI Illustration. Upload story photo >

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UOB has participated in a $3.1 billion credit facility to finance graphics processing units for ZanKore. The AI infrastructure platform was launched by Indosat Ooredoo Hutchinson.

Why it matters

The investment reflects a surge in demand for AI-ready infrastructure throughout South-east Asia. Banks are increasingly positioning themselves to capture growth in this capital-intensive sector.

The $3.1 billion credit facility is specifically earmarked for the acquisition of graphics processing units (GPUs). These hardware assets support the computational demands of the ZanKore AI infrastructure platform.

The players

UOB

United Overseas Bank is a multinational financial institution headquartered in Singapore.

ZanKore

ZanKore is an AI infrastructure platform launched by Indosat Ooredoo Hutchinson to support regional computing needs.

Indosat Ooredoo Hutchinson

Indosat Ooredoo Hutchinson is a major telecommunications company based in Indonesia.

Nvidia

Nvidia is a technology corporation known for designing graphics processing units used in artificial intelligence.

The details

UOB joined a syndicate including Citigroup, ING, and Qatar National Bank to provide the financing. ZanKore, which operates as an AI infrastructure platform, maintains partnerships with Nvidia, Ooredoo, and Nokia.

Timeline

  1. The report regarding UOB AI financing activity was published in September 2026.

The Tech Race

This deal marks a shift in how banks facilitate the global arms race for artificial intelligence computing power. It follows the documented trend of increased AI infrastructure financing in South-east Asia as firms race to build the hardware foundations for generative AI.

The expansion of GPU-dense infrastructure will likely accelerate the deployment of AI services available to businesses and consumers in the region. Users may see faster and more efficient AI-powered digital tools as these underlying platforms become fully operational.

The takeaway

Large-scale credit facilities represent a new frontier for banks seeking to capitalize on the high hardware costs of the AI era. These financial partnerships are essential for tech platforms to scale their compute capacity rapidly.

Further reading

For more on the development of regional digital hubs, see our coverage of Data Centers.

Source note: This article includes information reported by The Business Times.

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Should commercial banks prioritize financing the development of artificial intelligence infrastructure?