South Korea's AI G3 Leap: AI Computing Infrastructure Expansion Plan

South Korea's AI G3 Leap: AI Computing Infrastructure Expansion Plan

 

The South Korean government has announced a large-scale AI computing infrastructure expansion plan to achieve its vision of becoming an AI G3 (Top 3 AI Powerhouse).

 

The key focus of this plan is to secure 10,000 high-performance GPUs (Graphics Processing Units) by the end of the year and an additional 8,000 GPUs by the first half of next year to accelerate the establishment of a National AI Computing Center and Supercomputer No.6.

 

Recognizing AI as a key driver of national competitiveness, the government aims to expand AI infrastructure to enable companies, universities, and research institutions to train and deploy AI models freely.

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1. Government’s AI Computing Infrastructure Expansion Plan

1.1 Securing 10,000 High-Performance GPUs and Early Launch of the National AI Computing Center

• By 2025, the government will secure 10,000 high-performance GPUs and allocate them to the National AI Computing Center.
• The center will provide subscription-based GPU services, allowing startups, universities, and research institutes to access AI computing resources alongside major corporations.

1.2 Securing an Additional 8,000 GPUs and Establishing Supercomputer No.6

• By the first half of next year, 8,000 more AI chips (such as NVIDIA’s H100 and H200) will be acquired to power Supercomputer No.6.
• Supercomputer No.6 will primarily support AI research at universities and research institutions.

1.3 Deployment of 30,000 GPUs and Domestic AI Chips by 2030

• By 2030, the government aims to complete the National AI Computing Center and secure 30,000 GPUs alongside domestically developed AI semiconductors to build a robust AI research and industrial ecosystem.

1.4 Strengthening Public-Private Cooperation in Global AI Competition

• Countries such as the U.S. and France are heavily investing in AI computing infrastructure, intensifying global AI competition.
• The South Korean government plans to enhance public-private cooperation and continuously refine AI investment strategies based on industry and research needs.

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2. Global AI Infrastructure Competition and South Korea’s Strategic Response

2.1 Intensifying Global AI Race

• United States: Announced the “Stargate Project” with a $500 billion investment in AI supercomputing and data centers.
• France: Launched an AI data center initiative with €200 billion in AI industry investment.
• European Union (EU): Easing AI regulations and shifting toward stronger AI industry support policies.

2.2 South Korea’s Response Strategy

• Building a National AI Computing Center to reduce AI infrastructure costs for research institutions, universities, and startups.
• Promoting domestic AI semiconductor development to reduce reliance on foreign GPUs.
• Addressing power and infrastructure challenges to ensure stable energy supply and optimal AI data center locations.

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3. AI Industry and Economic Impact Analysis

3.1 Strengthening Support for AI Startups and SMEs

• Startups and small businesses have faced high costs for securing AI computing resources.
• The National AI Computing Center will allow them to access affordable AI infrastructure.

3.2 Promoting AI Research and Technology Development

• AI labs and universities will benefit from high-performance AI computing environments, accelerating research in generative AI and Artificial General Intelligence (AGI).

3.3 Enhancing Global AI Competitiveness

• As AI dominance battles intensify, expanding national AI infrastructure will help South Korea secure a leadership position in AI technology.
• Increased AI computing power will boost South Korean firms' presence in the global AI market.

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4. Future Challenges

4.1 GPU Supply Chain Stability

• Given the global GPU supply chain instability, short-term solutions may include renting GPUs from private firms.
• In the long term, domestic AI semiconductor development should be expanded to reduce GPU dependence.

4.2 Strengthening AI Infrastructure User Support

• Beyond securing GPUs, support programs for startups and research institutions must be expanded.
• Initiatives such as AI cloud infrastructure support, training programs, and R&D funding will be necessary.

4.3 Addressing AI Data Center Power and Location Issues

• Stable power supply is crucial for building AI computing centers.
• Green energy solutions and low-power AI data centers should be incorporated into infrastructure planning.

4.4 Expanding Global AI Cooperation and Policy Alignment

• Strengthening AI computing collaborations with the U.S. and Europe.
• Aligning South Korea’s AI industry policies with global AI regulatory trends.

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📌 Conclusion

• The South Korean government is actively expanding AI computing infrastructure to become a leading AI G3 nation.
• By securing 10,000 GPUs by 2025 and 8,000 more by mid-2026, the National AI Computing Center and Supercomputer No.6 will be established.
• In the face of intensifying global AI competition, South Korea must bolster public-private cooperation, enhance AI research support, and strengthen AI startup ecosystems.
• Future priorities include GPU supply chain stability, AI infrastructure user support, and AI data center energy solutions to sustain long-term AI competitiveness.

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