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NVIDIA Accelerates Google DeepMind’s DiffusionGemma for Local AI NVIDIA Confidential Computing to Help Expand Apple’s Private Cloud Compute How the UK Is Turning Sovereign AI Ambition Into Action With NVIDIA Technologies NVIDIA and LG Group Build an AI Factory to Advance Physical AI, Mobility and AI Infrastructure NVIDIA and Doosan Group Collaborate to Advance Physical AI and AI Factory Infrastructure NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories NAVER Expands AI Infrastructure With NVIDIA to Serve Surging Global AI Demand NVIDIA, KRAFTON, NC and Reigning ‘League of Legends’ Champions T1 Celebrate RTX Spark at Korea’s PC Bangs Seoul Purpose: How NVIDIA and South Korea Are Building the Future of AI Forecast: Fun Ahead — 18 Games Join in June to Stream on GeForce NOW NVIDIA Research Unlocks Advanced Grasping, Smarter Autonomous Driving and Agent Training at Scale NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI Industrial Software Leaders Build Secure, Autonomous AI Engineers With NVIDIA NemoClaw NVIDIA Partners With Microsoft on Unified Stack for Agentic AI Deployment, From Windows Devices to Cloud to Local Why Financial Institutions Are Converging on Transaction Foundation Models to Build Their Own Intelligence NVIDIA Jetson Brings Agentic AI to the Physical World NVIDIA AI Cloud Ecosystem Expands Worldwide to Meet Global AI Compute Demand NVIDIA Factory Operations Blueprint Gives Factories a New AI Brain Taiwan’s Industry Titans Turbocharge World’s AI Infrastructure Buildout With NVIDIA NVIDIA and TSMC Bring AI Into Fabs to Advance Semiconductor Design and Manufacturing NVIDIA, Foxconn and Taiwan Medical Centers Bring Agentic and Physical AI to ‘Healthy Taiwan’ NVIDIA Releases Major Collection of Open Source Agent Tools and Skills for Physical AI NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research NVIDIA DRIVE Hyperion Becomes the Global Platform for a Robotaxi-Ready World NVIDIA Launches Alpamayo 2 Super Open Reasoning Model for Robotaxis How Cosmos 3 Helps Physical AI Think Before It Acts NVIDIA Launches Cosmos 3, the Open Frontier Foundation Model for Physical AI NVIDIA DGX Station for Windows Puts a Trillion-Parameter AI Supercomputer on Every Enterprise Desk NVIDIA Levels Up Local AI Agents Across RTX PCs and DGX Spark NVIDIA and Microsoft Reinvent Windows PCs for the Age of Personal AI Enterprise Software Leaders Build AI Agents With NVIDIA NVIDIA Unveils Vera, the CPU for Agents NVIDIA Vera BlueField-4 STX Brings Agentic AI Storage Processing With In-Silicon Security NVIDIA Vera Rubin Ramps Into Full Production to Power Agentic AI Factories Worldwide NVIDIA DSX Gives Infrastructure Builders the Playbook for AI Factories NVIDIA Research Advances Robotics From Simulation to the Real World The Name’s Gaming … Cloud Gaming: ‘007 First Light’ Launches on GeForce NOW NVIDIA GTC Taipei at 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SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation
2026-06-08 · via NVIDIA Newsroom

Korea’s Leading Telco to Add NVIDIA-Powered AI Cloud Capacity Built on NVIDIA DSX AI Factory Architecture to Accelerate AI Startups, Robotics and Industrial Physical AI

News Summary:

  • SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX platform, with the first AI factory planned to come online in 2027.
  • The AI Cloud will support sovereign, physical and agentic AI services for enterprises and industries across Korea, building on SK Telecom’s network, data center and enterprise infrastructure expertise.
  • NVIDIA DSX will serve as the AI factory architecture blueprint, combining NVIDIA accelerated computing, systems, software and partner technologies to improve time to production and token performance per megawatt.
  • NVIDIA and SK Group are planning to expand their collaboration from AI infrastructure deployments to joint research on next-generation AI factory architectures.
     

NVIDIA and SK Telecom today announced that SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX™ platform, with the first AI factory coming online in 2027.

An AI Cloud is large-scale AI infrastructure comprised of AI factories that manufacture tokens, building blocks of intelligence, from data. Unlike conventional large-scale providers offering general-purpose cloud services, AI Clouds specialize in GPU-based cloud computing tailored specifically for AI workloads across training, inference and agentic AI.

SK Telecom’s AI Cloud will be built on the NVIDIA DSX full-stack reference architecture of software, hardware and operations producing the lowest-cost tokens at maximum energy efficiency.

SK Telecom’s AI Cloud will power training, inference and agentic workloads including sovereign, physical and enterprise AI services for companies and industries across Korea, with the vision to expand to greater Asia regions.

The initiative reflects Korea’s role as one of the world’s most advanced pro-AI industrial economies. Korean companies lead in telecommunications, memory, semiconductors, manufacturing, robotics, mobility and consumer technology — industries where AI is moving from research labs and chatbots into secure, production-grade deployments.

“Telecom networks are becoming national AI infrastructure,” said Jensen Huang, founder and CEO of NVIDIA. “They connect people, companies, devices and machines — and now they can become the backbone of new AI clouds. With NVIDIA DSX, SK Telecom can build Korea’s AI cloud at scale and bring agents, enterprise and physical AI to the companies and industries that power Korea and the world.”

"Through our close partnership with NVIDIA, we have now secured full-stack AI infrastructure capabilities, from chips to data center operations," said Chey Tae-won, Chairman of SK Group. “We will work with NVIDIA to tackle GPU, memory and energy challenges and become a leading AI factory player shaping Asia’s AI ecosystem.”

SK Telecom AI Cloud to Scale Agentic and Physical AI for Industries and Enterprises
The new SK Telecom AI Cloud is designed to serve rising demand for AI infrastructure, as accelerated AI computing growth continues to increase.

The new infrastructure builds on SK Telecom’s leadership in physical AI and agentic AI development. At GTC Taipei last week, SK Telecom announced its latest work in applying digital twins to SK hynix semiconductor fabs using NVIDIA Omniverse™ libraries, optimizing the technology for complex, large-scale manufacturing environments.

In April, SK Telecom revealed that it has adopted open source NVIDIA Nemotron™ datasets to train the A.X K1 model as part of the Korea government’s Sovereign AI Foundation Model Project.

Moreover, as part of this collaboration, SKT will become an NVIDIA Cloud Partner, joining a global program through which participants use NVIDIA’s latest AI infrastructure, software and developer ecosystem to deliver excellent AI performance and economics through AI cloud services.

NVIDIA DSX Platform Delivers Rapid Design, Ultraefficient Operations
The NVIDIA DSX platform is engineered from the ground up with extreme codesign for AI factories, built and operated to drive lowest token cost and accelerate time to first production across NVIDIA chips, systems, software, facilities and partner technologies.

NVIDIA DSX MaxLPS™ software delivers the lowest token cost by maximizing token performance per megawatt. NVIDIA DSX OS™ is the operating layer that helps providers increase revenue and improve margins with open source, modular software for lifecycle management, runtime consistency, health automation, resiliency and multi-tenant AI factory operations.

NVIDIA and SK Group to Pursue Joint Research for Next-Gen AI Infrastructure
NVIDIA and SK Group today announced plans to pursue joint research to codevelop next-generation AI factory architecture, extending their collaboration beyond infrastructure deployment.

The companies will focus on silicon-to-grid innovation across accelerated computing, memory technologies and data center operations. NVIDIA and SK Group companies including SKT will also explore projects for full-stack AI factory optimization to drive more efficient, scalable and resilient AI services.