South Korea and NVIDIA Open a Joint AI Lab and Deepen Tech Ties at San Francisco Summit

A new research lab at one of Asia's top universities, a memory chip deal, and plans for AI infrastructure signal South Korea's push to become a serious player in global AI.

AI2Day Newsdesk4 min read
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Key points

  • NVIDIA and KAIST (Korea Advanced Institute of Science and Technology) announced a joint AI research lab in Seoul on 24 July 2025, the first such lab between a Korean university and any global tech company.
  • South Korean President Jae Myung Lee attended the AI Summit in San Francisco alongside the country's top business leaders and researchers.
  • SK Group and NVIDIA expanded an existing partnership in June 2025 to co-develop memory chips for AI hardware.
  • SK Telecom announced plans in June 2025 to build AI infrastructure supporting physical AI and robotics in Korea.

South Korea is putting its flag firmly in the AI race. At a summit in San Francisco this week, President Jae Myung Lee sat down with chip giant NVIDIA and a group of Korean business leaders to map out what the country's AI future could look like. The meeting builds on NVIDIA founder and CEO Jensen Huang's visit to Korea last month.

The headline announcement: NVIDIA and KAIST, one of Asia's leading science and technology universities, are opening a joint AI research lab at the KAIST Kim Jaechul Graduate School of AI in Seoul. NVIDIA reported the news directly.

Why does this lab matter?

It is the first joint AI lab between a Korean university and any global technology company. That is a notable first, and it signals that South Korea wants to build AI expertise at home, not just buy the finished product from abroad.

The lab will focus on agentic AI, meaning AI systems that can carry out multi-step tasks on their own rather than simply answering a single question. Think of an AI that books your flights, checks your calendar and emails the hotel, all without you clicking anything. Researchers will use NVIDIA's Nemotron open models (a family of AI models NVIDIA releases publicly for researchers to build on) and cloud computing provided by NVIDIA's partners.

What about the business side?

Korea's corporate giants are moving too. SK Group Chairman Chey Tae-won joined Huang for a dinner in Woodside, California, the evening before the summit, alongside teams from SK Hynix and SK Telecom.

SK Hynix makes the high-bandwidth memory chips that power AI processors, so a tighter link with NVIDIA matters here. The two companies announced in June an expanded deal to co-develop memory for NVIDIA's AI hardware platforms, covering everything from data-centre AI to personal AI devices. SK Telecom, separately, said in June it plans to build infrastructure to support physical AI, which covers robots and smart machines that interact with the real world.

Partner Announcement Date
KAIST Joint AI research lab in Seoul July 2025
SK Hynix Co-develop memory chips for NVIDIA platforms June 2025
SK Telecom Build AI infrastructure for robotics and physical AI June 2025

For ordinary Koreans, the practical upshot is jobs, research funding and technology built closer to home. For everyone else watching, South Korea is betting that owning a slice of the AI supply chain, from chips to software to academic research, is smarter than depending on any single foreign partner.

The summit continues, with more meetings between Huang and President Lee expected.

Common questions

What is KAIST?

KAIST stands for Korea Advanced Institute of Science and Technology. It is a government-funded university in Seoul widely regarded as one of the best science and engineering schools in Asia.

What does 'agentic AI' mean in plain English?

Agentic AI refers to software that can plan and complete a series of tasks by itself, for example researching a topic, drafting a document and sending it, without a human steering each step.

Does this affect consumers outside South Korea?

Not directly, not yet. But research labs like this one often produce the models and tools that eventually show up in apps people use every day, so the work done here could matter down the line.

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