Aolani Partnered With NVIDIA for AI Expansion
The Singapore-based firm plans to deploy 22,000 advanced GPUs across Southeast Asia by early 2027.
Updated on Sept. 21, 2026 in Data Centers
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Singapore-based Aolani has entered a strategic compute collaboration with NVIDIA to scale artificial intelligence infrastructure. The deal aims to accelerate AI access across the region by deploying 22,000 Blackwell Ultra GPUs in Malaysia and the Philippines.
Why it matters
The initiative seeks to democratize AI compute access in Asia by integrating infrastructure capabilities with advanced hardware. By utilizing a unique revenue-sharing model, the collaboration intends to unlock new financing paths for large-scale AI factory development.
Aolani maintains an AI factory capacity exceeding 100 megawatts. The planned expansion utilizes NVIDIA Blackwell Ultra GPUs to reach a total fleet deployment target of 48,000 units.
The players
Aolani
A Singapore-based infrastructure firm founded in 2023 that specializes in AI factory development.
NVIDIA
A global technology company known for designing and manufacturing the high-performance GPUs essential for modern artificial intelligence systems.
The details
Founded in 2023, Aolani leverages a revenue-sharing and credit-support framework to facilitate its infrastructure build-out. This integration with NVIDIA technology supports the firm's ambition to broaden the availability of high-performance computing resources.
Timeline
Aolani became an NVIDIA Cloud Partner in 2023.
The collaboration was officially announced on September 21, 2026.
Aolani expects to deploy 22,000 GPUs in Malaysia and the Philippines by early 2027.
The Tech Race
This collaboration mirrors the broader industry trend of aggressive capital deployment into the Southeast Asian data center market, currently seeing $50 billion in regional hyperscaler investment. It marks a significant shift as specialized firms move to compete with legacy providers by using revenue-sharing models to secure the latest hardware.
Increased regional availability of AI compute may lower development costs for local startups and software developers. Users in the Philippines and Malaysia can expect improved localized performance for latency-sensitive applications as the new data center capacity comes online.
The takeaway
As firms like Aolani secure large allocations of next-generation hardware, the bottleneck for AI development is shifting from silicon availability to specialized infrastructure capacity. Readers should monitor regional energy and power availability, as these factors will increasingly dictate where large-scale GPU deployments can successfully launch.
Further reading
Learn more about the infrastructure evolution in our Data Centers section.
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