Sovereign AIInfrastructure DealJul 27, 2026, 6:19 PM· 5 min read· #1 of 3 in ai

Brookfield and Nvidia Partner with Naver on $10 Billion Sovereign AI Infrastructure Buildout in South Korea

Naver, Nvidia, and Brookfield Asset Management have announced a $10 billion proposal to build a 200-megawatt sovereign AI factory in South Korea. The infrastructure project aims to provide domestic computing power for AI development, reducing reliance on foreign hyperscalers.

By Factlen Editorial Team

Sovereign AI Advocates 40%Infrastructure Financiers 30%Global Hardware Providers 30%
Sovereign AI Advocates
Argue that nations must own their physical compute infrastructure to protect data privacy and cultural alignment.
Infrastructure Financiers
View the AI boom as a heavy industrial play, emphasizing that power generation is the true bottleneck.
Global Hardware Providers
See national-scale infrastructure projects as a mechanism to lock in long-term hardware ecosystems.

What's not represented

  • · Environmental Advocates
  • · Local Sejong Residents

Why this matters

As AI models become critical to national security and economic competitiveness, countries are racing to build 'sovereign' infrastructure to keep their data and computing power within their own borders. This $10 billion deal signals that the AI boom is shifting from software development into massive, traditional infrastructure finance.

Key points

  • Naver, Nvidia, and Brookfield Asset Management proposed a $10 billion expansion of South Korea's sovereign AI infrastructure.
  • The project aims to scale Naver's GAK Sejong data center from 55 megawatts to 200 megawatts by 2028.
  • Brookfield has signed a nonbinding term sheet for up to $9 billion, while Nvidia plans a $1 billion direct equity investment.
  • The facility will utilize Nvidia's Vera Rubin and Blackwell platforms to provide domestic AI compute for South Korean enterprises and government.
  • The deal highlights a global shift toward 'sovereign AI,' where nations seek to own their computing power rather than relying on foreign cloud providers.
$10 billion
Total proposed AI infrastructure project value
$9 billion
Brookfield's nonbinding funding commitment
$1 billion
Nvidia's targeted direct equity investment
200 MW
Target capacity for GAK Sejong by 2028
1 GW
Naver's long-term sovereign AI capacity goal

Naver, Nvidia, and Brookfield Asset Management have unveiled a sweeping $10 billion proposal to construct a massive "sovereign AI" infrastructure project in South Korea, marking one of the largest single investments in localized computing power to date. Announced during South Korean President Lee Jae-myung's visit to the AI Summit in San Francisco, the agreement represents a fundamental shift in how nations are approaching the artificial intelligence race. Rather than relying solely on software development and venture capital, countries are increasingly turning to heavy industrial infrastructure finance to secure the physical hardware required to train and deploy advanced models.[1][2]

The core financial mechanism of the partnership relies on a massive influx of traditional infrastructure capital, underscoring the sheer expense of modern AI facilities. Brookfield, a Canadian asset manager that currently oversees approximately $100 billion in assets across the global AI infrastructure value chain, has executed a nonbinding term sheet to provide up to $9 billion in project funding. This level of capital deployment is typically reserved for major public works, such as power plants or transit systems, illustrating the new scale of the AI industry.[5]

To complete the capital stack, Nvidia intends to inject $1 billion directly into Naver Corp as a strategic equity investment, while the South Korean technology giant will supply the remaining capital required to finalize construction and oversee daily facility operations. This tripartite financial structure highlights the immense financial burden of modern artificial intelligence, which single technology entities—even those as large as Naver—can no longer easily scale independently without specialized infrastructure partners.[2][3]

The proposed $10 billion capital structure relies heavily on traditional infrastructure finance.
The proposed $10 billion capital structure relies heavily on traditional infrastructure finance.

The technical roadmap for the project centers on a massive expansion of Naver's existing AI factory, which is located at the company's GAK Sejong hyperscale data center. The facility will scale from its initially planned 55-megawatt deployment to a staggering 200-megawatt capacity by 2028, representing a nearly fourfold expansion in just a few years. Naver has also stated a longer-term intention to eventually reach 1 gigawatt of dedicated AI infrastructure capacity at the site.[1][2][4]

According to Nvidia's technical disclosures regarding the project, the expanded South Korean infrastructure will utilize the Nvidia DSX platform, which is an end-to-end, co-designed architecture purpose-built to minimize token costs and maximize throughput. The buildout will incorporate the chipmaker's next-generation Vera Rubin and Blackwell computing architectures to deliver multi-tenant AI cloud capacity, providing enterprise-grade compute to domestic startups, established industries, and government organizations.[1][3][4]

The primary strategic claim driving this historic $10 billion deployment is the growing geopolitical necessity of "sovereign AI." Naver and South Korean policymakers argue that a nation must physically own and control its computing power rather than renting capacity from foreign hyperscalers like Amazon Web Services, Google Cloud, or Microsoft Azure. This localized approach is increasingly viewed as a matter of national security and economic independence in the intelligence era.

This localized approach is increasingly viewed as a matter of national security and economic independence in the intelligence era.

By establishing a domestically owned 200-megawatt facility, South Korea aims to ensure that highly sensitive enterprise, startup, and government data remains strictly within its own borders. This localized compute power is considered essential for training culturally and linguistically aligned foundation models, allowing the country to develop AI tools that understand the nuances of the Korean language and legal frameworks without exposing proprietary national data to US-based cloud providers.[1][3]

As direct evidence of this localized development approach, Naver is currently utilizing its existing infrastructure to develop a highly specialized "Seoul World Model." Built on top of Nvidia Cosmos world foundation models, this ambitious project utilizes proprietary urban street-view and spatial data to create highly accurate digital twins and autonomous agents specifically tailored to the South Korean market and urban environment.[3]

The sheer scale of the 200-megawatt target—and Naver's stated long-term goal of reaching 1 gigawatt of capacity—exposes the primary bottleneck currently constraining global artificial intelligence development: power generation. A 200-megawatt facility draws enough continuous electricity to power a small city, fundamentally shifting AI from a purely software-based endeavor into a heavy industrial challenge that requires grid-level coordination and massive cooling logistics.[2]

Naver plans to scale its sovereign AI capacity to 200 megawatts by 2028, with a long-term goal of 1 gigawatt.
Naver plans to scale its sovereign AI capacity to 200 megawatts by 2028, with a long-term goal of 1 gigawatt.

Brookfield's involvement as the exclusive capital partner for the project underscores this transition from software to heavy industry. By bringing massive capital deployment capabilities and global power infrastructure expertise to the table, the Canadian asset manager is addressing the physical realities of scaling intelligence that traditional chipmakers and software developers simply cannot solve on their own.[2][3][4]

For Nvidia, the multi-billion dollar partnership serves as a strategic mechanism to tighten its grip on where and how the world's largest AI workloads are built. By committing $1 billion into Naver and aligning with Brookfield's massive data center funding, Nvidia effectively ties its proprietary DSX platform directly into South Korea's national infrastructure, locking in a long-term hardware ecosystem that will be difficult for competitors to displace.[4]

Despite the historic scale and ambition of the announcement, the final execution of the sovereign AI factory remains contingent on several significant financial and logistical uncertainties. The headline $10 billion figure relies heavily on Brookfield's nonbinding term sheet, meaning the vast majority of the capital has not yet been fully secured or legally committed to the project.

Furthermore, Nvidia's $1 billion direct equity investment is subject to standard closing terms that place the burden of execution squarely on its South Korean partner. These conditions explicitly require Naver to successfully finalize at least $9 billion in binding project financing before the chipmaker's equity injection clears, meaning the entire deal hinges on Naver's ability to close the infrastructure funding in a tightening global capital market.[2]

Sovereign AI ensures that a nation's data and computing power remain within its borders.
Sovereign AI ensures that a nation's data and computing power remain within its borders.

Finally, scaling a single facility to a 200-megawatt—let alone 1-gigawatt—capacity will require unprecedented coordination with South Korea's national energy grid. The long-term viability of the sovereign AI project depends entirely on whether the local power infrastructure can reliably support the massive, continuous electricity demands of high-density accelerated computing without destabilizing regional supply or violating the country's environmental commitments.[4]

How we got here

  1. June 2026

    Naver and Nvidia announce an initial agreement to build a 55-megawatt AI factory at the GAK Sejong data center.

  2. July 24, 2026

    South Korean President Lee Jae-myung attends the AI Summit in San Francisco, emphasizing national AI cooperation.

  3. July 27, 2026

    Naver, Nvidia, and Brookfield announce the $10 billion proposal to expand the facility to 200 megawatts.

  4. 2028

    Target completion date for the full 200-megawatt sovereign AI infrastructure buildout.

Viewpoints in depth

Sovereign AI Advocates

Nations must own their physical compute infrastructure to protect data privacy and cultural alignment.

Proponents of sovereign AI argue that relying on US-based hyperscalers like AWS, Google Cloud, or Microsoft Azure poses a long-term national security risk. By building domestic infrastructure, countries can ensure that sensitive government and enterprise data never leaves their borders. Furthermore, local compute allows for the training of foundation models that are deeply aligned with a nation's specific language, culture, and legal frameworks, rather than importing Western-centric models.

Infrastructure Financiers

The AI boom is fundamentally a heavy industrial and real estate play.

Financial institutions view the next phase of the AI revolution not as a software challenge, but as an infrastructure bottleneck. The sheer power requirements of gigawatt-scale data centers demand traditional project finance, grid-level energy coordination, and massive real estate development. Firms like Brookfield see this as a generational investment opportunity, shifting capital away from speculative venture capital and into hard, physical assets that generate long-term yield.

Global Hardware Providers

National-scale projects lock in long-term hardware ecosystems.

For companies like Nvidia, investing directly into sovereign AI projects is a strategic maneuver to secure market dominance. By co-financing these massive data centers, hardware providers ensure that their proprietary platforms—such as the DSX architecture and Blackwell chips—become the foundational layer of a nation's AI economy. This creates an incredibly sticky ecosystem where domestic startups and enterprises are inherently built on top of the provider's specific hardware stack.

What we don't know

  • Whether Naver can successfully secure the $9 billion in binding project financing required to trigger Nvidia's $1 billion equity investment.
  • If South Korea's national energy grid can reliably support the massive electricity demands of a 200-megawatt, and eventually 1-gigawatt, accelerated computing facility.
  • How quickly the supply chain for advanced liquid cooling and power infrastructure can deliver the necessary components to meet the 2028 target.

Key terms

Sovereign AI
Artificial intelligence infrastructure and foundation models that are physically located within a country and controlled by domestic entities, ensuring data privacy and national security.
Hyperscale Data Center
A massive, highly efficient data center designed to support robust, scalable applications and massive data storage, typically consuming tens to hundreds of megawatts of power.
Nvidia DSX
An end-to-end, co-designed hardware and software architecture purpose-built by Nvidia to accelerate the deployment of multi-tenant AI cloud capacity.
Foundation Model
A large-scale artificial intelligence model trained on a vast quantity of data that can be adapted to a wide range of downstream tasks.
Megawatt (MW)
A unit of power equal to one million watts, used to measure the massive electricity consumption of industrial-scale data centers.

Frequently asked

What is the goal of the $10 billion investment?

To expand Naver's GAK Sejong data center in South Korea into a 200-megawatt "sovereign AI factory" that provides domestic computing power for AI development.

Who is paying for the infrastructure?

Brookfield Asset Management has signed a term sheet for up to $9 billion, Nvidia plans to invest $1 billion directly into Naver, and Naver will cover the remaining costs.

Why is South Korea building its own AI infrastructure?

To avoid relying on US-based cloud providers, ensuring that South Korean data, government operations, and culturally specific AI models remain under domestic control.

Is the $10 billion deal finalized?

Not entirely. Nvidia's $1 billion investment is subject to standard closing conditions, including a requirement that Naver successfully secures the $9 billion in binding project financing.

Sources

Source coverage

5 outlets

3 viewpoints surfaced

Sovereign AI Advocates 40%Infrastructure Financiers 30%Global Hardware Providers 30%
  1. [1]NvidiaGlobal Hardware Providers

    NAVER, NVIDIA and Brookfield Announce Proposed Expansion of Korea's Sovereign AI Infrastructure

    Read on Nvidia
  2. [2]Data Centre MagazineInfrastructure Financiers

    NAVER, NVIDIA & Brookfield plan $10bn AI factory in Korea

    Read on Data Centre Magazine
  3. [3]Industry Asia PacificGlobal Hardware Providers

    NAVER, NVIDIA, and Brookfield Expand South Korea's AI Infrastructure

    Read on Industry Asia Pacific
  4. [4]Simply Wall StGlobal Hardware Providers

    Nvidia (NVDA) Is Taking Korea's AI Buildout To $10 Billion

    Read on Simply Wall St
  5. [5]StockTitanInfrastructure Financiers

    Brookfield Asset Management Highlights Partnership with NAVER and NVIDIA for Korea's Sovereign AI Factory

    Read on StockTitan
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