NVIDIA and KAIST have inaugurated a $300 million AI research lab in Seoul, aimed at developing agentic models tailored for the Korean language and local industries. This five-year collaboration will allocate $50 million annually in computing resources from local Nvidia Cloud Partners and provide opportunities for at least ten KAIST researchers each year to intern at Nvidia. This initiative is part of NVIDIA’s strategy to advance AI research from the academic sphere into practical applications and regional enterprise, marking its first joint lab with an Asian university. Notably, KAIST has recently garnered recognition for its AI prowess, having secured first place in an international physics problem-solving challenge at ICML 2026.
KAIST: KAIST is a premier South Korean research university known for its cutting-edge work in artificial intelligence and related fields. It has recently secured top positions in international AI competitions focused on physics problem-solving and multimodal reasoning. The institution is partnering with NVIDIA to transition academic research into practical deployments for Korean industries and national projects.
NVIDIA: NVIDIA develops advanced AI computing technologies and open foundation models optimized for agentic applications across industries. The company is expanding university collaborations in Asia to adapt its tools for local languages and enterprise needs. This lab marks its first joint AI research initiative with a university in the region, leveraging its models for Korean-focused developments.
Nemotron: Nemotron encompasses NVIDIA’s family of open multimodal AI models engineered for efficient agentic reasoning, visual understanding, and specialized enterprise tasks. The lab will utilize these models as the foundation for developing Korean-language capabilities and industry-specific AI solutions.
Nvidia Cloud Partners: Nvidia Cloud Partners are local providers in South Korea that deliver NVIDIA compute infrastructure and cloud services. They support the five-year lab initiative by supplying ongoing computational resources tailored to the collaboration’s requirements.
Model Advancements: NVIDIA has been actively updating its Nemotron family with new versions emphasizing multimodal and agentic capabilities for real-world applications.
Regional Expansion: NVIDIA is prioritizing partnerships to localize AI research and deployment across Asian markets through university collaborations.
AI Research Leadership: KAIST researchers recently earned first place in an international physics problem-solving AI challenge at ICML 2026.