The Korea-focused AI Summit in San Francisco on July 24 gathered leaders from NVIDIA, OpenAI, Broadcom, Anthropic, Samsung, SK Group, Hyundai Motor Group, and NAVER. Held during South Korean President Lee Jae Myung’s visit, the event produced announcements spanning AI factory capacity, HBM supply, semiconductor manufacturing, agentic AI research, and robotics infrastructure.
These announcements point to continued investment in Korea’s AI ecosystem, especially in sovereign AI capacity, faster computing, advanced memory, and real-world AI applications.
SK Group and NVIDIA Target 2GW of AI Infrastructure
SK Group and NVIDIA signed letters of intent covering AI infrastructure, including building AI factories and supplying next-generation memory. The companies said the potential partnership could be worth more than $500 billion, but did not share details about project timelines, commercial terms, or committed investments.
The first step is a planned 2GW AI cloud project in Korea with SK Telecom. This setup will use NVIDIA’s DSX AI factory design, Vera Rubin accelerated computing, and SK hynix HBM4 memory. The first AI factory is expected to be ready by 2027.
[NVIDIA DSX](http://NVIDIA GTC 2026: Rubin GPUs, Groq LPUs, Vera CPUs, and What NVIDIA Is Building for Trillion-Parameter Inference) brings together fast computing hardware, software, facility design, and partner technologies into a complete AI factory system. SK Group and NVIDIA plan to use this setup to support different types of AI work in South Korea and the wider Asia-Pacific region.
SK hynix will also start a long-term AI memory partnership with NVIDIA. Together, they plan to develop and supply new high-bandwidth memory to train large language models, run AI, and support both agentic and physical AI tasks.
Samsung and Broadcom Expand Memory and Foundry Cooperation
Samsung Electronics and Broadcom signed an agreement to work together on memory supply, foundry manufacturing, and advanced packaging. They expect this partnership to generate over $200 billion in value by 2030.
Samsung will provide high-bandwidth memory for Broadcom’s upcoming AI accelerator products. The agreement also includes the use of Samsung’s 2nm and smaller process technologies for Broadcom products, such as wireless broadband chips.
They also plan to explore advanced packaging methods using Samsung’s 2nm process, such as 2.5D and 3D integration. These new methods are important for AI and networking chips, where traditional designs limit performance, memory speed, interconnects, and energy efficiency.
NAVER, NVIDIA, and Brookfield Expand AI Factory Plans
NAVER, NVIDIA, and Brookfield shared plans to expand their NVIDIA DSX AI factory at NAVER’s GAK Sejong data center in Sejong, South Korea. The planned capacity has grown from 55MW, announced in June, to 200MW by 2028, a buildout expected to comprise roughly 100,000 GPUs.
The planned 200MW facility will use NVIDIA Vera Rubin and Blackwell platforms. NVIDIA DSX MaxLPS software will help improve token processing per megawatt. DSX OS will handle system management, automation, reliability, and support for multiple users.
The expansion is structured as a roughly $10 billion project. Brookfield has signed a nonbinding term sheet to serve as an exclusive capital partner, funding up to $9 billion. NVIDIA plans to invest $1 billion, subject to customary conditions, and NAVER will fund the remainder. NAVER also plans to deploy up to 1 GW of NVIDIA AI infrastructure.
NAVER also plans to use this infrastructure to develop open AI models. The company is growing its HyperCLOVA X model family with NVIDIA Nemotron 3 Ultra open models and its own training data. NAVER aims to launch an AI agent platform in Korea later this year, leveraging parts of the NVIDIA Agent Toolkit, including NemoClaw blueprints.
Separately, the company is building a Seoul World Model using its street-view and spatial data, along with NVIDIA Cosmos world foundation models. This project focuses on physical AI and spatial reasoning uses.
Hyundai Outlines Physical AI Development Strategy
At the summit, Hyundai Motor Group shared its physical AI strategy, which encompasses smart vehicles, robots, AI-managed factories, and plans for connected-city infrastructure.
Hyundai is using its manufacturing, mobility platforms, robotics, and data as the base for a system that can train and improve AI in real-world settings. The company mentioned its partnerships with NVIDIA, Waymo, Boston Dynamics, and Google DeepMind as key parts of its physical AI ecosystem.
One main project is the Hyundai and NVIDIA Robot Reference Platform. This platform will give universities, research groups, and startups a standard hardware and software setup for building and testing physical AI systems. Hyundai hopes this will make robotics development more accessible and speed up the introduction of new products to market.
Hyundai also announced plans for the Saemangeum AI Valley in Jeonbuk. The project will include AI data centers, robotics manufacturing, electrolyzer plants, and AI-powered hydrogen city infrastructure. Hyundai plans to invest about KRW 9 trillion, or around $6.1 billion. The robotics cluster will make Hyundai robotics products and offer manufacturing services to smaller companies.
Hyundai also plans to invest KRW 42 trillion, or about $28.5 billion, over the next ten years in industrial hubs in the Yeongnam region. These centers will focus on AI-powered manufacturing, aerospace, and green energy infrastructure.
NVIDIA and KAIST Establish Agentic AI Research Lab
NVIDIA and the Korea Advanced Institute of Science and Technology (KAIST) announced a joint AI research lab at the KAIST Kim Jaechul Graduate School of AI in Seoul, described as NVIDIA’s first joint AI research lab with a university in Asia. The lab will focus on agentic AI research and Korean-language models for academic, business, and national uses, led by NVIDIA researcher Hyunwoo Kim, who joins the KAIST faculty in August.
The partnership is worth $300 million, with up to $50 million per year in computing resources for the first five years. Local NVIDIA Cloud Partners will provide access to NVIDIA AI infrastructure for researchers involved in the project.
The program will support at least 10 KAIST researchers each year with funding and NVIDIA internships. NVIDIA also plans to hire Korean researchers for full-time roles. The research will use NVIDIA’s full AI platform and Nemotron open models to help move academic work into real-world AI projects.