Aolani Secured NVIDIA Collaboration for AI Factories
The Singapore-based firm plans to deploy 22,000 Blackwell Ultra GPUs across Malaysia and the Philippines by early 2027.
Updated on Sept. 21, 2026 in Data Centers
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Aolani has signed a strategic compute collaboration with NVIDIA to expand its regional AI factory infrastructure. The company plans to reach a total deployment exceeding 48,000 GPUs, leveraging a revenue-sharing and credit-support financing model.
Why it matters
This initiative aims to accelerate access to high-performance AI compute across Southeast Asia, addressing the regional infrastructure gap. It facilitates the scaling of large-scale AI operations through a specialized financial framework integrated with hardware procurement.
Aolani currently maintains an AI factory capacity exceeding 100 megawatts. Future infrastructure scaling will incorporate NVIDIA Blackwell Ultra GPUs to bolster compute density compared to existing fleet configurations.
The players
Aolani
A Singapore-based infrastructure firm founded in 2023 that specializes in AI factory development and compute financing.
NVIDIA
A global leader in accelerated computing that designs GPUs and software platforms used for AI training and data center operations.
The details
Aolani utilizes a revenue-sharing and credit-support model to finance its capital-intensive AI factory construction. By integrating these financial instruments directly with NVIDIA technology procurement, the company aims to bypass traditional funding constraints for large-scale GPU clusters. The planned expansion involves deploying NVIDIA Blackwell Ultra GPUs — the latest generation of high-performance graphics processing units designed for large-scale AI training and inference tasks.
Timeline
2023: Aolani was founded and became an NVIDIA Cloud Partner.
September 21, 2026: Aolani announced the new strategic compute collaboration with NVIDIA.
Early 2027: Aolani is scheduled to deploy 22,000 GPUs in Malaysia and the Philippines.
The Tech Race
Aolani is positioning its AI-specific factory model within the broader $50 billion regional investment wave by hyperscalers targeting Southeast Asian data centers. This effort represents a focused attempt to standardize AI-ready compute architectures in a market historically dominated by general cloud service providers.
Enterprise and developer access to high-performance AI compute in Malaysia and the Philippines is expected to increase significantly by early 2027. The project requires no immediate changes for end-users, but local firms should monitor the service availability of Aolani’s new GPU-accelerated capacity.
The takeaway
Aolani is attempting to prove that a dedicated revenue-sharing model can successfully scale AI-specific compute infrastructure in emerging markets. Investors and stakeholders should watch for the completion of the Malaysia and Philippines sites in early 2027 to gauge the model's performance.
Further reading
For more on the regional infrastructure landscape, explore the Data Centers section.
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