South Korea Emerges as an AI Infrastructure Powerhouse as NVIDIA Deepens Ties With SK Telecom and SK hynix

SK Telecom announced plans to build a gigawatt-scale AI Cloud in South Korea using NVIDIA's newly introduced DSX AI Factory platform.

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South Korea Emerges as an AI Infrastructure Powerhouse as NVIDIA Deepens Ties With SK Telecom and SK hynix
South Korea Emerges as an AI Infrastructure Powerhouse as

Seoul | EcoPulse24

NVIDIA has unveiled two major strategic partnerships in South Korea that together span the full artificial intelligence infrastructure stack - from national-scale AI cloud deployments and sovereign AI services to next-generation memory technologies and autonomous semiconductor manufacturing.

The announcements, made simultaneously with SK Telecom and SK hynix, signal an expansion of NVIDIA's long-term strategy in Asia and highlight South Korea's growing role as a key hub in the global race to build AI infrastructure.

Taken together, the agreements reveal a broader effort to establish Korea as a center for AI factories, advanced computing, memory innovation, semiconductor production, and sovereign AI development.

SK Telecom Plans Gigawatt-Scale AI Cloud

Under the first agreement, SK Telecom announced plans to build a gigawatt-scale AI Cloud in South Korea using NVIDIA's newly introduced DSX AI Factory platform.

The first AI factory is expected to become operational in 2027.

Unlike traditional cloud infrastructure designed for general computing tasks, AI Clouds are purpose-built environments optimized for AI model training, inference workloads, agentic AI systems, and large-scale token generation.

The infrastructure will support sovereign AI initiatives, enterprise AI applications, industrial automation, and physical AI deployments across South Korea's economy.

SK Telecom said the project will leverage its existing telecommunications network, data center assets, and enterprise technology capabilities to deliver AI services at national scale.

NVIDIA's DSX architecture will provide the technological foundation, integrating accelerated computing systems, software platforms, operational tools, and energy-efficiency optimization technologies.

AI Factories Become National Infrastructure

NVIDIA founder and CEO Jensen Huang described telecommunications networks as the next generation of national AI infrastructure.

According to Huang, telecom operators already connect people, enterprises, devices, and machines. The next step is transforming these networks into large-scale AI production environments capable of generating intelligence through AI factories.

The announcement reflects a broader shift in the AI industry, where infrastructure is increasingly viewed as a strategic national asset rather than merely a technology service.

SK hynix Partnership Targets Next-Generation AI Memory

In a separate announcement, NVIDIA and SK hynix unveiled a multiyear technology partnership focused on developing advanced memory technologies for future AI systems.

The agreement aligns SK hynix's memory roadmap with NVIDIA's next-generation AI infrastructure strategy, including future Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered AI PCs, and Jetson Thor robotics platforms.

Advanced memory has become one of the most critical components in AI infrastructure, as modern AI systems increasingly depend on rapid data movement and high-bandwidth memory architectures.

The partnership aims to ensure sufficient supply of advanced memory technologies as global demand for AI computing infrastructure continues to accelerate.

Building the Foundation for Future AI Factories

The collaboration extends beyond memory manufacturing.

Both companies will work on applying artificial intelligence directly to semiconductor design and production processes.

SK hynix plans to use NVIDIA CUDA-X libraries and PhysicsNeMo frameworks to accelerate semiconductor simulations, chip design workflows, and manufacturing optimization.

The companies are also developing advanced digital twins of semiconductor fabrication facilities using NVIDIA Omniverse and OpenUSD technologies.

These virtual environments can simulate complex manufacturing operations, optimize production efficiency, and support future autonomous semiconductor factories.

Korea's Expanding Role in the Global AI Race

The dual announcements highlight South Korea's unique position in the AI value chain.

The country already holds leadership positions across multiple strategic sectors:

  • Memory semiconductors

  • Telecommunications infrastructure

  • Advanced manufacturing

  • Consumer technology

  • Robotics

  • Industrial automation

The new initiatives extend that role into sovereign AI infrastructure, AI cloud services, agentic AI systems, and AI factory development.

South Korea's industrial ecosystem provides a rare combination of capabilities that few countries can match, allowing it to participate in virtually every layer of the emerging AI economy.

Key Announcements at a Glance

Area Announcement
AI Infrastructure SK Telecom plans gigawatt-scale AI Cloud
Launch Timeline First AI factory targeted for 2027
Platform NVIDIA DSX AI Factory Architecture
AI Services Sovereign AI, Agentic AI, Physical AI
Memory Partnership NVIDIA and SK hynix multiyear agreement
Future Systems Vera Rubin, Vera CPU, RTX Spark, Jetson Thor
Semiconductor Innovation AI-assisted chip design and manufacturing
Factory Technology Digital twins and autonomous fab operations

EcoPulse24 Analysis

Viewed separately, the two announcements appear to address different areas of the AI industry.

Viewed together, however, they reveal a much larger strategic picture.

The SK Telecom partnership focuses on where AI will run - building the cloud infrastructure, AI factories, and sovereign computing environments needed to power future AI services.

The SK hynix agreement focuses on what will power those systems - advanced memory technologies, semiconductor innovation, and manufacturing capabilities required to sustain the next generation of AI computing.

Together they create a vertically integrated AI ecosystem spanning infrastructure, computing, memory, software, and manufacturing.

For NVIDIA, the partnerships strengthen access to one of the world's most advanced technology ecosystems.

For South Korea, they represent another step toward becoming not only a major consumer of artificial intelligence, but also one of the foundational suppliers of the infrastructure that will underpin the next phase of global AI development.

FAQs

What is SK Telecom?

SK Telecom (SKT) is South Korea's largest telecommunications company and a leading provider of mobile, broadband, enterprise, and digital services. The company is part of the SK Group conglomerate and serves millions of customers across Korea. In recent years, SK Telecom has expanded aggressively into artificial intelligence, cloud computing, data centers, and sovereign AI initiatives.

What is SK hynix?

SK hynix is one of the world's largest semiconductor manufacturers and a global leader in memory technologies, including DRAM and NAND flash memory. The company supplies advanced memory chips used in servers, smartphones, AI systems, data centers, and high-performance computing platforms.

Why is SK hynix important to AI?

Modern AI systems require enormous amounts of high-bandwidth memory to process and move data efficiently. SK hynix is one of the world's key suppliers of advanced memory products used in NVIDIA's AI computing platforms, making it a critical player in the global AI supply chain.

What is an AI Factory?

An AI Factory is a large-scale computing facility specifically designed to generate AI outputs such as tokens, model responses, simulations, and inference workloads. Unlike traditional data centers, AI factories are optimized for accelerated computing, AI training, agentic AI, and large language model operations.

What is Sovereign AI?

Sovereign AI refers to AI models, infrastructure, and computing resources developed and operated within a country's own regulatory, linguistic, and security frameworks. Governments increasingly view sovereign AI as a strategic capability similar to telecommunications, energy, and national cloud infrastructure.

Why does this matter globally?

The rapid expansion of AI infrastructure requires enormous investments in computing power, memory, energy, networking, and manufacturing. The NVIDIA-SK Telecom-SK hynix partnerships illustrate how countries are beginning to build national AI ecosystems that combine all of these components, positioning themselves for long-term participation in the AI economy.

Sources & References
NVIDIA Press Release
Editorial Note
Edited & Reviewed by the EcoPulse24 Editorial Board Jun 8, 2026, 03:53 UTC
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