Naver Cloud and FPT Formed AI Infrastructure Alliance
The companies have partnered to expand AI computing and GPU services across the Asia-Pacific region.
Updated on Oct. 12, 2026 in Data Centers
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Naver Cloud has signed a strategic business agreement with FPT to scale AI infrastructure, including GPUaaS and AI Factory projects. The collaboration aims to provide enterprises in South Korea, Japan, and Vietnam with essential training and inference resources.
Why it matters
The partnership reduces the high cost and technical burden for businesses seeking to build their own AI infrastructure. By combining their specialized technologies, the firms offer optimized computing environments to enterprises across the region.
The partnership leverages FPT's status as a NVIDIA cloud partner and its operational expertise in Vietnam to deploy AI cloud services. Teams will focus on joint infrastructure optimization, inference performance improvements, and the setup of AI agent service environments.
The players
Naver Cloud
This subsidiary of the South Korean technology giant Naver Corporation provides cloud computing and AI infrastructure services.
FPT
FPT is a multinational technology corporation based in Vietnam that serves as a key NVIDIA cloud partner in the region.
The details
Engineers from both companies will work directly at customer sites to integrate their respective technologies and networks. This technical cooperation covers the development and operation of specialized AI Factory and GPU-as-a-Service (GPUaaS) platforms.
Timeline
October 12, 2026: Naver Cloud announced the official signing of the business agreement at its 1784 headquarters building.
The Tech Race
This partnership reflects a broader industry movement to democratize access to NVIDIA GPU cloud architecture for regional enterprises. It marks a shift from centralized western-led computing to localized AI factory models that help firms bypass traditional hardware investment hurdles.
Enterprises in South Korea, Japan, and Vietnam will gain easier access to advanced AI training and inference computing power without needing to maintain expensive hardware internally. This shift allows local developers and businesses to integrate AI agent services into their workflows more efficiently.
The takeaway
The move demonstrates how regional tech leaders are pooling resources to scale AI capabilities for the enterprise market. Companies looking to integrate AI should watch for these hybrid infrastructure models as they become the standard for reducing operational overhead.
Further reading
For more information on the evolving landscape of regional computing facilities, visit Data Centers.
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