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SK Telecom and NVIDIA Build AI Infrastructure to Power Korea’s AI Innovation

(Neutral)
(Positive)
Tags
AI

NVIDIA (NASDAQ: NVDA)/b) and SK Telecom announced plans for a gigawatt-scale built on the NVIDIA DSX AI factory architecture, with the first AI factory targeted to come online in 2027.

The AI Cloud aims to power sovereign, physical and agentic AI services across Korean industries and potentially wider Asia, using NVIDIA DSX MaxLPS and DSX OS to improve token cost efficiency and lifecycle management. SKT will also become an NVIDIA Cloud Partner, and NVIDIA and SK Group plan joint research on next-generation AI factory architectures.

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Positive

  • Gigawatt-scale AI Cloud in Korea using NVIDIA DSX architecture
  • First NVIDIA-powered AI factory planned to be online in 2027
  • AI Cloud to support sovereign, physical and agentic AI across Korean industries
  • SK Telecom to become an NVIDIA Cloud Partner for AI services
  • Use of DSX MaxLPS and DSX OS to improve token cost efficiency and operations
  • NVIDIA and SK Group to pursue joint research on next-generation AI factory architecture

Negative

  • None.

News Market Reaction – NVDA

+1.73%
+1.73% Session close to close

In the Jun 8 session, NVDA gained 1.73%, reflecting a mild positive market reaction.

Data tracked by StockTitan Argus on the day of publication.

Market Context

This announcement highlights NVIDIA’s role in enabling a gigawatt-scale AI cloud for SK Telecom, usi...
Analysis

This announcement highlights NVIDIA’s role in enabling a gigawatt-scale AI cloud for SK Telecom, using the NVIDIA DSX architecture to power sovereign, physical and agentic AI services. In context, NVIDIA recently reported quarterly revenue of $81.6 billion with strong data center growth and raised its dividend to $0.25 per share. Investors following this news may focus on execution milestones such as the planned 2027 AI factory start and how large infrastructure collaborations build on prior AI partnerships.

Key Figures

Quarterly revenue: $81.6 billion Data Center revenue: $75.2 billion Edge Computing revenue: $6.4 billion +5 more
8 metrics
Quarterly revenue $81.6 billion Fiscal Q1 2027 per 10-Q
Data Center revenue $75.2 billion Fiscal Q1 2027 per 10-Q
Edge Computing revenue $6.4 billion Fiscal Q1 2027 per 10-Q
Net income $58.3 billion Fiscal Q1 2027 per 10-Q
Diluted EPS $2.39 Fiscal Q1 2027 per 10-Q
Operating cash flow $50.3 billion Fiscal Q1 2027 per 10-Q
Quarterly dividend $0.25 per share Raised from $0.01 per 10-Q
First AI factory timing 2027 Planned online date for SK Telecom AI factory

Previous AI Reports

5 past events · Latest: Jun 01 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
Jun 01 AI fab deployment Positive +6.3% TSMC deploying NVIDIA AI across chip design and manufacturing workflows.
Jun 01 AI healthcare push Positive +6.3% Agentic and physical AI rollout in Taiwan healthcare with $1.5B support.
Jun 01 Agent tools launch Positive +6.3% Release of open-source physical AI agent tools across multiple NVIDIA platforms.
Jun 01 Enterprise AI hardware Positive +6.3% DGX Station for Windows enabling up to 1 trillion-parameter AI models.
Jun 01 AI PCs initiative Positive +6.3% RTX Spark superchip launching for next-gen Windows personal AI devices.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Pattern Detected

Recent AI-tagged announcements for NVIDIA have been followed by consistently positive single-day moves of about 6.26% in the past set of events.

Recent Company History

Over recent AI-focused announcements on Jun 1, 2026, NVIDIA highlighted deployments with TSMC, Foxconn, Taiwan medical centers, and major open-source agent tools, plus new AI PC and deskside supercomputer platforms. Each AI-tagged event in this set was followed by a +6.26% price reaction. Today’s SK Telecom/NVIDIA AI cloud infrastructure news fits the same AI ecosystem expansion theme but comes against a backdrop of a -6.2% move and elevated volume.

Key Terms

ai cloud, ai factory, agentic ai, digital twins, +2 more
6 terms
ai cloud technical
"SK Telecom plans to build a gigawatt-scale AI Cloud in Korea"
AI cloud is remote computing equipment and software delivered over the internet that’s specifically set up to build, run and scale artificial intelligence applications — providing powerful computers, large data storage and ready-made AI tools on demand. It matters to investors because businesses that use or sell AI cloud can develop products faster, lower upfront costs and expand capacity quickly, much like renting a high‑powered workshop instead of buying all the machines, which can affect growth and profitability.
ai factory technical
"with the first AI factory planned to come online in 2027"
An "AI factory" is an organizational setup that combines data, software, computing power and repeatable processes to build, train, deploy and monitor artificial intelligence systems at scale — like an assembly line for AI models. Investors care because a well‑run AI factory can lower costs, speed product delivery and create predictable revenue streams from many AI-powered products, making a business more competitive and scalable in a measurable way.
agentic ai technical
"sovereign, physical and agentic AI services for enterprises"
Agentic AI refers to computer systems that can make their own decisions and take actions without needing someone to tell them what to do each time. It's like giving a robot a degree of independence to solve problems or achieve goals on its own, which matters because it could change how we work and interact with technology in everyday life.
digital twins technical
"applying digital twins to SK hynix semiconductor fabs using NVIDIA Omniverse"
Digital twins are virtual replicas of physical objects, systems, or processes that simulate their real-world counterparts in real time. They allow users to monitor, analyze, and predict how the actual entity will behave under different conditions. For investors, digital twins can provide valuable insights into performance and potential risks, helping to make better-informed decisions.
gpu-based cloud computing technical
"AI Clouds specialize in GPU-based cloud computing tailored specifically for AI workloads"
GPU-based cloud computing is the rental of powerful graphics processors over the internet to run heavy computations like artificial intelligence, large-scale data analysis, and simulation. Think of it as hiring a fleet of high-performance engines on demand instead of buying and housing them yourself; investors watch this because it can sharply reduce costs for customers, enable faster product development, drive higher cloud usage and recurring revenue for providers, and create advantages for companies that depend on rapid, large-scale computing.
accelerated computing technical
"NVIDIA accelerated computing and AI across semiconductor design and manufacturing"
Accelerated computing involves using specialized hardware, like graphics processors or other accelerators, to perform certain tasks much faster than traditional computers. This speeds up complex calculations, making processes more efficient and enabling faster decision-making. For investors, it means technological advancements that can improve the performance of data analysis, artificial intelligence, and other demanding applications, potentially leading to better business outcomes and competitive advantages.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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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.

SEOUL, South Korea, June 07, 2026 (GLOBE NEWSWIRE) -- 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.

About NVIDIA
NVIDIA (NASDAQ: NVDA) is the world leader in AI and accelerated computing.

For further information, contact:
Corporate Communications
NVIDIA Corporation
press@nvidia.com  

Certain statements in this press release including, but not limited to, statements as to: telecom networks becoming the backbone of AI clouds; with NVIDIA DSX, SK Telecom being able to build Korea’s sovereign AI cloud at scale and bring agents, AI factories and physical AI to the enterprises and industries that power Korea and the world; expectations with respect to growth, performance, availability, and benefits of NVIDIA’s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA’s third party arrangements, including with its collaborators and partners; expectations with respect to technology developments, and related trends and drivers; projected market growth and trends; expectations with respect to AI and related industries; and other statements that are not historical facts are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which are subject to the “safe harbor” created by those sections based on management’s beliefs and assumptions and on information currently available to management and are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic and political conditions; NVIDIA’s reliance on third parties to manufacture, assemble, package and test NVIDIA’s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA’s existing products and technologies; market acceptance of NVIDIA’s products or NVIDIA’s partners’ products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA’s products or technologies when integrated into systems; NVIDIA’s ability to realize the potential benefits of business investments or acquisitions; and changes in applicable laws and regulations, as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its Annual Report on Form 10-K and Quarterly Reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company’s website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2026 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, DSX OS, DSX MaxLPS, NVIDIA DSX, NVIDIA Nemotron and NVIDIA Omniverse are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and/or other countries. Other company and product names may be trademarks of the respective companies with which they are associated.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/7211c46b-c2a3-4d5d-b4d8-488f24a081ae


FAQ

What did NVIDIA (NASDAQ: NVDA) and SK Telecom announce on June 7, 2026?

NVIDIA and SK Telecom announced plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX platform. According to NVIDIA, this infrastructure is designed for training, inference and agentic AI workloads across enterprises and industries, with the first AI factory targeted for 2027.

When will the first NVIDIA-powered SK Telecom AI factory come online?

The first SK Telecom AI factory using NVIDIA DSX is planned to come online in 2027. According to the companies, this factory will be part of a gigawatt-scale AI Cloud designed to manufacture tokens efficiently for sovereign, physical and enterprise AI services in Korea.

How will NVIDIA DSX benefit SK Telecom's new AI Cloud in Korea?

NVIDIA DSX provides a full-stack AI factory architecture to lower token cost and improve energy efficiency. According to NVIDIA, the platform combines accelerated computing, DSX MaxLPS software and DSX OS to enhance token performance per megawatt and streamline multi-tenant AI factory operations for SK Telecom.

What AI services will the NVIDIA–SK Telecom AI Cloud support in Korea?

The AI Cloud will support sovereign, physical and enterprise agentic AI services across Korean industries. According to SK Telecom, these services will span training, inference and production-grade deployments for sectors like manufacturing, robotics, mobility and consumer technology, with potential expansion into broader Asia regions.

What joint research will NVIDIA (NVDA) and SK Group conduct on next-generation AI factories?

NVIDIA and SK Group plan joint research to co-develop next-generation AI factory architectures. According to the companies, the work will focus on silicon-to-grid innovation across accelerated computing, memory technologies, data center operations and full-stack AI factory optimizations to deliver more efficient, scalable and resilient AI services.

What does becoming an NVIDIA Cloud Partner mean for SK Telecom and NVDA?

SK Telecom will join the NVIDIA Cloud Partner program, using NVIDIA’s latest AI infrastructure and software. According to NVIDIA, this enables SK Telecom to deliver high-performance AI cloud services while tapping into NVIDIA’s developer ecosystem to enhance economics and performance for enterprise and industrial AI workloads.