NAVER Partners with Brookfield and NVIDIA to Expand Korea’s National AI Factory Infrastructure Buildout

· Source: The AI Journal · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Cloud Computing & IT Infrastructure, Emerging Technologies & Innovation · Depth: Fundamental Awareness, quick

Summary

NAVER, Brookfield, and NVIDIA announced on July 25, 2026, a significant expansion of Korea's sovereign AI factory infrastructure, increasing its NVIDIA DSX AI factory deployment from 55 megawatts to 200 megawatts. This \$10 billion project, located at NAVER's GAK Sejong hyperscale data center in Sejong, South Korea, will be funded by Brookfield with up to \$9 billion, NVIDIA with \$1 billion, and NAVER covering the remainder. The expanded infrastructure, featuring NVIDIA Vera Rubin and Blackwell platforms, aims to provide production-scale AI compute for Korea- and U.S.-based AI innovators, supporting the development of next-generation models and AI-powered services. NAVER, an NVIDIA Cloud Partner, will also advance its HyperCLOVA X models using NVIDIA Nemotron™ 3 Ultra open models and join the NVIDIA Nemotron Coalition, while developing an AI agent platform and a Seoul World Model based on NVIDIA Cosmos™.

Key takeaway

For VPs of Engineering or Data considering national-scale AI infrastructure, this partnership demonstrates a viable model for rapid expansion. You should evaluate similar public-private collaborations, especially those integrating significant capital from partners like Brookfield with advanced computing platforms from NVIDIA. This approach accelerates access to production-scale AI compute, crucial for developing competitive next-generation models and fostering a robust sovereign AI ecosystem.

Key insights

Global partnerships are rapidly expanding Korea's sovereign AI factory infrastructure to boost national AI competitiveness and innovation.

Principles

In practice

Topics

Best for: Policy Maker, VP of Engineering/Data, Director of AI/ML

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Editorial summary, takeaway, and curation by AIssential. Original article published by The AI Journal.