Nvidia and SK Group forge $500 billion AI partnership spanning data centers and memory chips

Reviewed byNidhi Govil

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Nvidia has locked in a massive $500 billion partnership with South Korea's SK Group to secure high-bandwidth memory supply and build large-scale AI data centers. SK Telecom will construct a 2-gigawatt facility using Nvidia's Vera Rubin chips and SK Hynix's HBM4 memory, with operations starting in 2027. Separately, Nvidia is investing $1 billion in Naver to expand AI infrastructure in South Korea.

Nvidia SK Group Partnership Secures AI Infrastructure Future

Nvidia and South Korea's SK Group unveiled a massive $500 billion AI deal on Friday, marking one of the industry's largest commitments to AI infrastructure and memory supply

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. The large-scale AI data centers initiative spans multiple years and includes a long-term partnership with SK Hynix, the world's largest supplier of high-bandwidth memory, to jointly develop next-generation memory solutions for AI training, agentic AI, and physical AI applications

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Source: ET

Source: ET

The announcement came during an AI summit in San Francisco attended by South Korean President Lee Jae Myung, signaling the strategic importance both nations place on AI development

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. Nvidia CEO Jensen Huang told Bloomberg Television that South Korea is in a "golden age," citing the country's semiconductor firms and industrial capabilities as key reasons to invest

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Massive Data Center Buildout Powered by Nvidia Vera Rubin Chips

As part of the memory supply agreement, SK Telecom plans to construct AI data centers requiring 2 gigawatts of power on the Korean Peninsula, with the first facility scheduled to come online in 2027

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. These facilities will run on Nvidia Vera Rubin chips paired with SK Hynix's HBM4 high-bandwidth memory, indicating a buildout that could house hundreds of thousands of graphics processing units

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Raj Mirpuri, Nvidia's enterprise vice president, explained the strategic value: "The expansion will include a co-develop opportunity for us on the next-generation SK Hynix AI memory, and this will help us secure a stable supply of HBM memory"

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. This collaboration addresses the global memory shortage created by the AI boom, with Nvidia aggressively locking in supply of the critical component essential for its GPUs and systems.

Nvidia Invests $1 Billion in Naver to Expand AI Infrastructure

Separately, Nvidia announced a $1 billion investment in Naver, a South Korean internet and cloud company building AI data centers around Nvidia's GPUs

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. The funding will enable Naver to more than triple its facility size from 55 megawatts to 200 megawatts, with Brookfield, a US private equity firm, agreeing to a nonbinding term sheet to fund up to $9 billion for the project

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. This expansion will provide opportunities for potential customers in South Korea and globally to secure AI computing capacity before the facility is completed

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Global AI Supply Chains and Sovereign AI Ambitions

The deal signals that massive AI infrastructure buildouts are expanding beyond a handful of hyperscalers, with foreign governments and major conglomerates becoming directly involved

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. For South Korea, the partnership represents a strategic bet that its semiconductor industry can remain central to global AI supply chains even as geopolitical tensions reshape chip manufacturing

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Source: Reuters

Source: Reuters

Samsung and SK Hynix are the only two companies worldwide capable of producing the advanced memory chips that Nvidia's processors require, giving them a structural advantage in the AI era

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. The design partnership with SK Hynix positions the company ahead of its rival Samsung in the race for sovereign AI capabilities. Huang has consistently argued that every country should develop its own sovereign AI infrastructure, and South Korea's chipmaking expertise and engineering talent make it particularly well-positioned to execute this vision

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The Korea deals continue Nvidia's year-long investment spree, with the chipmaker committing more than $40 billion to AI equity positions, including $30 billion in OpenAI

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. Critics have described this pattern as circular financing, where Nvidia invests in companies that subsequently purchase its hardware—a structure replicated with data center operators, neoclouds, and now sovereign AI partners

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. However, for Nvidia, securing memory supply remains critical as demand for AI infrastructure continues to outpace production capacity across the industry.🟡agnet_ai, and physical AI applications

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