Key Takeaways Nvidia has forged a strategic alliance with SK Group worth more than $500 billion focused on AI infrastructure development. SK Telecom plans to construct a massive 2-gigawatt AI
Key Takeaways
- Nvidia has forged a strategic alliance with SK Group worth more than $500 billion focused on AI infrastructure development.
- SK Telecom plans to construct a massive 2-gigawatt AI facility utilizing Nvidia’s Vera Rubin systems equipped with SK Hynix HBM4 memory.
- The initial data center facility is slated to become operational in 2027.
- Nvidia has committed $1 billion in funding to Korean cloud provider Naver to support data center growth.
- Samsung separately inked a $200 billion memorandum with Broadcom focusing on memory chips and foundry services.
In a strategic move to ensure stable access to critical AI components, Nvidia has finalized an extensive memory supply arrangement with SK Hynix of South Korea. This agreement forms part of a comprehensive collaboration with SK Group exceeding $500 billion in total value. The landmark announcement came late Friday during an artificial intelligence conference in San Francisco, with South Korean President Lee Jae Myung among the attending dignitaries.
Shares of NVDA finished Friday’s session at $206.84, reflecting a 0.92% decline, while after-hours activity remained relatively flat.
NVIDIA Corporation, NVDA
This comprehensive partnership encompasses both AI infrastructure development and specialized memory chip procurement. SK Telecom, operating under the SK Group umbrella, has committed to developing a substantial 2-gigawatt AI cloud infrastructure leveraging Nvidia’s DSX platform alongside Vera Rubin accelerated computing technology. Operations at this facility are projected to commence in 2027.
SK Hynix currently dominates the high-bandwidth memory manufacturing sector, prompting Nvidia to aggressively secure supply chains amid an AI-driven global shortage of HBM components.
“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,” said Raj Mirpuri, Nvidia’s enterprise vice president.
Both organizations will collaborate on developing and refining cutting-edge AI memory technologies, extending beyond HBM4 to future high-bandwidth memory iterations.
This collaboration demonstrates that massive AI infrastructure projects are expanding beyond traditional hyperscale cloud providers. National governments and international conglomerates are increasingly becoming major players in this evolving landscape.
CEO Jensen Huang highlighted South Korea’s potential to emerge as a dominant force in artificial intelligence, citing the nation’s advanced telecommunications networks, robust data center ecosystem, semiconductor expertise, and industrial manufacturing capabilities.
SK Group’s Chairman Chey Tae-won emphasized that success in the AI-driven era hinges not merely on application usage, but fundamentally on the capacity to generate intelligence at scale.
Nvidia further revealed a $1 billion capital injection into Naver, a Korean cloud infrastructure provider constructing data centers centered on Nvidia GPU technology. This initiative aims to deliver 200 megawatts of computing capacity, providing Korean and international clients with expedited access to advanced AI computational resources.
In concurrent developments, Samsung Electronics formalized a $200 billion memorandum of understanding with Broadcom to deepen cooperation spanning memory production and foundry services. Samsung characterized this arrangement as essential infrastructure for powering next-generation AI systems.
SK Hynix commenced trading on the Nasdaq exchange earlier this month as part of its strategy to fund ambitious infrastructure expansion initiatives.
SK Group ranks as South Korea’s second-largest business conglomerate, encompassing more than 175 affiliated enterprises and employing over 100,000 people globally. The organization maintains diverse operations spanning artificial intelligence, semiconductor manufacturing, energy production, and life sciences research.
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