Nvidia and SK Group plan $500 billion AI collaboration: jointly building a 2 GW data center and securing next-generation HBM4 supply
Nvidia-SK Group’s $500 Billion AI Initiative
According to Gold Pattern Pro App, Nvidia announced on Friday that it will join forces with Korea's SK Group to launch an AI initiative valued at over $500 billion, including large-scale AI data center construction and next-generation memory technology development.
This initiative marks a deepening strategic alliance between Nvidia and the Korean semiconductor giant within the global AI infrastructure landscape.
SK Telecom’s 2-GW AI Data Center
SK Telecom plans to build an AI data center with an installed capacity of 2 gigawatts (GW). The center will use Nvidia’s Vera Rubin chips and SK Hynix’s HBM4 high-bandwidth memory, with the first facility expected to go live in 2027.
This hyperscale data center project will serve as critical infrastructure for AI training, intelligent agents, and physical AI applications.
Long-Term Supply of Next-Gen HBM4
Nvidia and SK Hynix will establish a long-term partnership to jointly develop high-bandwidth memory (HBM) for AI training, intelligent agents, and physical AI applications, ensuring stable supply of next-generation HBM4 for Nvidia.
Strategic Significance for the AI Supply Chain
The $500 billion cooperation plan will significantly boost the global supply of AI computing power, strengthen Nvidia’s leadership in chips, and bring long-term growth momentum for SK Group’s subsidiaries in memory and data center segments.
| Total Scale | Over $500 billion | Long-term | AI Infrastructure |
| Data Center | 2 GW | First facility operational in 2027 | Vera Rubin + HBM4 |
| HBM4 | Long-term supply and joint development | Ongoing | Supply Chain Security |
Stock Price Immediate Reaction Analysis
Following the announcement, Nvidia (NVDA) closed down 0.92%, and SK Hynix (SKHY) closed down 8.81%. The market is experiencing short-term digestion and profit-taking pressure regarding the massive cooperation plan, but remains optimistic about long-term AI industry chain synergies.
Editorial Summary
The $500 billion AI collaboration between Nvidia and SK Group showcases the enormous scale of global AI infrastructure construction. The 2-GW data center and HBM4 supply arrangement will reinforce supply chain resilience. This strategic alliance is expected to accelerate the journey of AI technologies from the lab to large-scale commercial applications.
Q: What is the total scale of the Nvidia-SK Group cooperation?
A: The initiative is valued at more than $500 billion, covering AI data center construction and next-generation memory technology development. It ranks among the largest AI collaborations globally in recent years.
Nvidia announced on Friday that it will join hands with Korea's SK Group to launch an AI initiative valued at over $500 billion.
Q: What are the highlights of the SK Telecom AI data center?
A: The data center will have an installed capacity of 2 GW, utilize Nvidia Vera Rubin chips and SK Hynix’s HBM4, with the first facility expected to be operational in 2027.
Q: What is the significance of the HBM4 partnership for Nvidia?
A: It ensures a stable supply of next-generation high-bandwidth memory, supporting cutting-edge applications in AI training, intelligent agents, and physical AI, while relieving current HBM capacity constraints.
Q: Why did related stock prices diverge and adjust downward?
A: The market is digesting expectations of massive capital expenditure in the short run, alongside profit-taking pressure. However, institutions generally believe in the long-term benefits of synergy across the AI industry chain.
Q: How should investors view this collaboration?
A: In the short term, investors should monitor stock price fluctuations and the implementation of agreement details. In the long run, the deep integration between Nvidia and SK Group in AI computing power and storage is highly promising. This plan is set to significantly enhance both parties’ strategic positioning in global AI competition.
Disclaimer: The content of this article solely reflects the author's opinion and does not represent the platform in any capacity. This article is not intended to serve as a reference for making investment decisions.
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