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OpenAI Doubles Down on Compute Capacity with Massive Korean Investment

OpenAI AI Samsung Electronics SK Hynix Data Centers Stargate Project South Korea
October 01, 2025
Viqus Verdict Logo Viqus Verdict Logo 9
Strategic Shift, Massive Impact
Media Hype 8/10
Real Impact 9/10

Article Summary

OpenAI is intensifying its pursuit of AI compute capacity with a multi-billion dollar investment primarily focused on South Korea. Following agreements with Samsung Electronics and SK Hynix, the company aims to produce up to 900,000 high-bandwidth memory DRAM chips per month – more than doubling current industry capacity – specifically for the Stargate project, a joint venture with Oracle and SoftBank. This investment reflects OpenAI’s ambition to fuel its AI development, allowing for increased training and deployment of models. The deals involve not just chip manufacturing but also the construction of data centers within South Korea, further solidifying the country’s role as a key strategic partner in OpenAI’s ambitious plans. The scale of the investment—estimated to be in the hundreds of billions—demonstrates the escalating competition within the AI landscape and highlights OpenAI’s determination to maintain a significant technological advantage.

Key Points

  • OpenAI is securing massive DRAM chip production from Samsung and SK Hynix to fuel the Stargate AI infrastructure project.
  • The company is building data centers in South Korea, aiming to increase its total compute capacity to 7 gigawatts.
  • This investment reflects a broader trend of increased competition and strategic partnerships within the rapidly evolving AI compute landscape.

Why It Matters

This news is crucial for professionals in the AI and technology sectors because it represents a tangible demonstration of the immense capital and strategic partnerships required to build and operate the next generation of large-scale AI models. The scale of investment signals that the race to build powerful AI infrastructure is far from over and that OpenAI is determined to remain a leader. It highlights the importance of geographic diversification for AI development, particularly in regions like South Korea with strong manufacturing capabilities and government support.

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