Why is Nvidia betting big on South Korea with 260,000 GPU deployments across the government and industry

The chip giant is positioning Korea as a strategic AI manufacturing hub through partnerships spanning semiconductors, automotive, and telecommunications—but execution risks remain.

Last week's flurry of announcements between Nvidia and South Korea revealed an ambitious expansion that will see over 260,000 GPUs deployed across government infrastructure and major conglomerates by late 2027. The multi-billion-dollar initiative positions the country as a critical node in Nvidia's global AI strategy, particularly as geopolitical tensions continue to reshape semiconductor supply chains.

The partnerships, unveiled during the APEC Summit on October 30, span three major industrial sectors and include direct collaboration with South Korea's Ministry of Science and ICT (MSIT). At the center of this expansion are so-called "AI factories"—large-scale GPU clusters designed to process data and train AI models for manufacturing, autonomous driving, and telecommunications applications.

A week on, the scale and complexity of these commitments warrant closer examination.

The AI factory architecture

SK Group is building the first major AI factory with more than 50,000 Nvidia GPUs, with the initial phase planned for completion by late 2027. The infrastructure will serve SK subsidiaries, including SK Hynix and SK Telecom, while also offering GPU-as-a-service to external organizations.

Samsung Electronics is constructing a separate AI factory with over 50,000 GPUs focused on semiconductor manufacturing and product development. Hyundai Motor Group is collaborating with Nvidia on a 50,000-GPU facility targeting integrated AI model training for manufacturing and autonomous driving, backed by approximately $3 billion in investment.

"Korea's leadership in technology and manufacturing positions it at the heart of the AI industrial revolution—where accelerated computing infrastructure becomes as vital as power grids and broadband," said Jensen Huang, founder and CEO of Nvidia, during the announcement.

Government's sovereign AI push

The Korean government, through MSIT, is deploying up to 50,000 of the latest Nvidia GPUs to accelerate sovereign AI development. The infrastructure will be distributed across the National AI Computing Centre and Korean cloud providers, including NHN Cloud, Kakao Corp., and NAVER Cloud.

An initial deployment of 13,000 Nvidia Blackwell GPUs is planned through NAVER Cloud, with expansion continuing over several years. Research institutes, startups, and AI companies will access this sovereign infrastructure to build models and applications.

Deputy Prime Minister and Minister of Science and ICT Bae Kyung-hoon framed the initiative as essential to South Korea's industrial future. "Now that AI has gone beyond mere innovation and become the foundation of future industries, South Korea stands at the threshold of transformation," Bae stated.

MSIT is also advancing its Sovereign AI Foundation Models project to develop language models incorporating Nvidia NeMo and open Nvidia Nemotron datasets. LG AI Research, NAVER Cloud, NC AI, SK Telecom, and Upstage are participating in the project to support sovereign model development.

Manufacturing applications and digital twins

The partnerships emphasise practical manufacturing applications rather than just computational capacity. SK hynix is deploying Nvidia CUDA-X technologies, including the Nvidia PhysicsNeMo framework, to accelerate chip design through AI physics simulations.

The company is also building autonomous fab digital twins using Nvidia Omniverse libraries and Nvidia RTX PRO Servers with Nvidia RTX PRO 6000 Blackwell GPUs. SK Telecom plans to launch an industrial cloud built on Nvidia RTX PRO 6000 Blackwell GPUs in Asia, enabling startups, enterprises, and government agencies to accelerate digital twin and robotics innovation.

The initial deployment will include over 2,000 Nvidia RTX PRO 6000 Blackwell GPUs. Samsung is using Nvidia technologies, including Nvidia Nemotron post-training datasets, Nvidia CUDA-X, the Nvidia cuLitho library, and Nvidia Omniverse to build digital twins for semiconductor manufacturing.

The company is also deploying Nvidia Cosmos, Nvidia Isaac Sim, and Nvidia Isaac Lab for home robot development.

Strategic implications and execution challenges

The scale of deployment represents a significant geographic concentration of AI infrastructure. NAVER Cloud alone is expanding to over 60,000 GPUs, including Nvidia RTX PRO 6000 Blackwell GPUs, for sovereign and physical AI applications.

However, the aggressive timelines raise questions about execution. The late 2027 target for SK Group's AI factory completion comes as global demand for advanced GPUs continues to outstrip supply.

The partnerships also require coordination across multiple government agencies, conglomerates, and technical teams—a complex undertaking even in South Korea's relatively streamlined industrial structure.

The initiative strengthens ties between Nvidia and South Korean memory manufacturers at a critical moment. SK Group is collaborating with Nvidia on the development of SK hynix high-bandwidth memory (HBM) and next-generation advanced memory solutions for Nvidia GPUs.

This relationship becomes particularly important as Nvidia faces ongoing restrictions in the Chinese market, where its market share has declined significantly following chip export bans. Beyond immediate infrastructure deployment, Nvidia and partners are establishing an alliance to foster startups through the Nvidia Inception program.

Members will access accelerated computing infrastructure from Nvidia Cloud Partners, including SK Telecom, with support from venture capital firms including IMM Investment, Korea Investment Partners, and SBVA.

The Korea Institute of Science and Technology Information (KISTI) is working with Nvidia to establish a Centre of Excellence using Korea's sixth-generation national supercomputer, HANGANG.

KISTI announced support for the new Nvidia NVQLink open architecture for connecting quantum processors and GPU supercomputing, positioning Korea for future quantum-GPU hybrid computing development.

Whether these partnerships translate into meaningful economic returns and technological advancement will depend heavily on execution over the next several years.

The announcements represent significant capital commitments, but converting GPU capacity into productive AI applications across manufacturing, automotive, and telecommunications sectors remains the ultimate test of this strategy.