At AI Summit, South Korea Outlines Its AI Future With NVIDIA and Partners

2026-07-24 · Source: NVIDIA Blog · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Robotics & Autonomous Systems · Depth: Fundamental Awareness, quick

Summary

At the AI Summit in San Francisco, South Korean President Jae Myung Lee, along with top business leaders and researchers, is meeting with NVIDIA and its ecosystem partners to advance Korea's AI capabilities. Building on NVIDIA CEO Jensen Huang's recent visit, discussions aim to expand Korea's AI infrastructure and expertise, positioning the nation as a global AI innovation hub. A significant announcement includes a joint AI research lab between NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) in Seoul. This lab, the first of its kind between a Korean university and a global tech company, will focus on agentic AI, leveraging NVIDIA's full-stack AI expertise, Nemotron open models, and AI Cloud computing. Additionally, NVIDIA and SK Group, including SK hynix and SK Telecom, are expanding their collaboration to co-develop memory for NVIDIA AI platforms and build AI infrastructure for physical AI and robotics in Korea, following announcements in June.

Key takeaway

For national AI policy makers aiming to establish a leading AI ecosystem, this collaboration highlights the critical role of strategic international partnerships. You should prioritize joint research initiatives with global technology leaders. Foster industry-academia alliances, like the NVIDIA-KAIST lab, to accelerate specialized AI development. Additionally, focus on expanding domestic AI infrastructure. Co-develop advanced hardware, such as memory for AI platforms, to support full-stack innovation. This secures a competitive edge in agentic AI and robotics.

Key insights

South Korea is strategically partnering with NVIDIA to establish itself as a global AI innovation hub.

Principles

• Public-private partnerships accelerate national AI goals.
• Full-stack AI expertise drives advanced research.
• Joint labs foster specialized AI development.

In practice

• Establish joint research labs with global tech firms.
• Co-develop specialized memory for AI platforms.
• Invest in AI infrastructure for physical AI.

Topics

• South Korea AI Strategy
• NVIDIA Partnerships
• AI Research Labs
• Agentic AI
• AI Infrastructure
• SK Group Collaboration

Best for: Research Scientist, Policy Maker, Executive, AI Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by NVIDIA Blog.