SK Telecom plans a gigawatt-scale AI Cloud in Korea using NVIDIA DSX, launching its first AI factory in 2027.
Quiver AI Summary
SK Telecom is set to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX platform, with the first AI factory expected to start operations in 2027. This AI infrastructure will focus on providing specialized GPU-based cloud computing for enterprises, enhancing efficiency and reducing costs in AI services across various industries. By leveraging its expertise in telecommunications, data centers, and enterprise infrastructure, SK Telecom aims to cater to increasing AI demand, expanding its services throughout Korea and into Asia. The collaboration with NVIDIA includes plans for joint research to advance AI factory architecture and tackle challenges in GPU, memory, and energy management.
Potential Positives
- SK Telecom will build a gigawatt-scale AI Cloud in Korea, enhancing its capabilities and positioning in the growing AI infrastructure market.
- The collaboration with NVIDIA aims to create a specialized AI Cloud tailored for enterprises, offering competitive advantages in GPU-based cloud computing.
- The partnership with NVIDIA includes plans for joint research on next-generation AI factory architectures, indicating a commitment to innovation and leadership in AI technology.
Potential Negatives
- The press release contains forward-looking statements that carry inherent risks and uncertainties, which could lead to actual results differing materially from expectations, raising concerns about the viability and success of the AI Cloud initiative.
- The announcement may prompt scrutiny over SK Telecom's ability to execute the ambitious plan of developing a gigawatt-scale AI Cloud by 2027, especially in a highly competitive and rapidly evolving AI infrastructure market.
- The partnership with NVIDIA and the reliance on third-party technologies could expose SK Telecom to supply chain vulnerabilities and potential performance issues associated with integrated systems.
FAQ
What is SK Telecom's AI Cloud project about?
SK Telecom plans to build a gigawatt-scale AI Cloud in Korea using the NVIDIA DSX platform, with an initial AI factory set for 2027.
How will the AI Cloud benefit Korean industries?
The AI Cloud will enhance AI services for enterprises, supporting training, inference, and agentic AI across various sectors in Korea.
What technology underpins the NVIDIA DSX platform?
NVIDIA DSX combines accelerated computing, systems, software, and partnerships to optimize AI factory operations for efficiency and performance.
What is the significance of the AI Cloud for Korea's economy?
This initiative positions Korea as a leading pro-AI industrial economy, driving AI's shift from research to production-grade applications.
What is the partnership between NVIDIA and SK Telecom?
The partnership aims to advance AI infrastructure and conduct joint research on next-generation AI factory architectures and technologies.
Disclaimer: This is an AI-generated summary of a press release distributed by GlobeNewswire. The model used to summarize this release may make mistakes. See the full release here.
$NVDA Insider Trading Activity
$NVDA insiders have traded $NVDA stock on the open market 142 times in the past 6 months. Of those trades, 0 have been purchases and 142 have been sales.
Here’s a breakdown of recent trading of $NVDA stock by insiders over the last 6 months:
- MARK A STEVENS has made 0 purchases and 6 sales selling 1,444,182 shares for an estimated $299,692,504.
- AJAY K PURI (EVP, Worldwide Field Ops) has made 0 purchases and 9 sales selling 1,000,000 shares for an estimated $183,002,962.
- DEBORA SHOQUIST (EVP, Operations) has made 0 purchases and 20 sales selling 309,840 shares for an estimated $56,186,171.
- HARVEY C JONES sold 250,000 shares for an estimated $44,333,450
- COLETTE KRESS (EVP & Chief Financial Officer) has made 0 purchases and 84 sales selling 208,430 shares for an estimated $37,132,313.
- DONALD F JR ROBERTSON (Principal Accounting Officer) has made 0 purchases and 16 sales selling 109,986 shares for an estimated $20,556,412.
- AARTI S. SHAH has made 0 purchases and 3 sales selling 19,000 shares for an estimated $3,357,549.
- STEPHEN C NEAL sold 15,500 shares for an estimated $3,343,863
- JOHN DABIRI has made 0 purchases and 2 sales selling 3,629 shares for an estimated $689,189.
To track insider transactions, check out Quiver Quantitative's insider trading dashboard. You can access data on insider stock transactions through the Quiver Quantitative API insider transaction endpoint.
$NVDA Revenue
$NVDA had revenues of $81.6B in Q1 2027. This is an increase of 85.23% from the same period in the prior year.
You can track NVDA financials on Quiver Quantitative's NVDA stock page.
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$NVDA Congressional Stock Trading
Members of Congress have traded $NVDA stock 23 times in the past 6 months. Of those trades, 7 have been purchases and 16 have been sales.
Here’s a breakdown of recent trading of $NVDA stock by members of Congress over the last 6 months:
- SENATOR SHELDON WHITEHOUSE has traded it 4 times. They made 0 purchases and 4 sales worth up to $530,000 on 05/08, 01/09.
- REPRESENTATIVE DANIEL MEUSER has traded it 5 times. They made 0 purchases and 5 sales worth up to $75,000 on 04/24, 03/25, 02/25, 01/30, 01/14.
- REPRESENTATIVE JOHN MCGUIRE has traded it 2 times. They made 2 purchases worth up to $30,000 on 04/15, 01/30 and 0 sales.
- REPRESENTATIVE GILBERT RAY CISNEROS, JR. has traded it 6 times. They made 2 purchases worth up to $30,000 on 03/13, 01/30 and 4 sales worth up to $95,000 on 04/14, 03/25, 12/24, 12/19.
- REPRESENTATIVE LIZZIE FLETCHER sold up to $15,000 on 04/08.
- REPRESENTATIVE TIM MOORE sold up to $50,000 on 03/24.
- SENATOR JOHN BOOZMAN purchased up to $15,000 on 03/19.
- REPRESENTATIVE NANCY PELOSI has traded it 2 times. They made 1 purchase worth up to $500,000 on 01/16 and 1 sale worth up to $5,000,000 on 12/24.
- SENATOR MARKWAYNE MULLIN purchased up to $250,000 on 12/29.
To track congressional stock trading, check out Quiver Quantitative's congressional trading dashboard. You can access data on congressional stock trades through the Quiver Quantitative API Congress trades endpoint.
$NVDA Hedge Fund Activity
We have seen 2,924 institutional investors add shares of $NVDA stock to their portfolio, and 2,625 decrease their positions in their most recent quarter.
Here are some of the largest recent moves:
- J. STERN & CO. LLP removed 125,140,953 shares (-99.5%) from their portfolio in Q1 2026, for an estimated $21,389,091,686
- CARDANO RISK MANAGEMENT B.V. removed 70,049,522 shares (-89.7%) from their portfolio in Q1 2026, for an estimated $11,972,864,300
- VANGUARD GROUP INC added 43,149,475 shares (+1.9%) to their portfolio in Q4 2025, for an estimated $8,047,377,087
- SG AMERICAS SECURITIES, LLC removed 37,810,007 shares (-100.0%) from their portfolio in Q1 2026, for an estimated $6,462,486,396
- JPMORGAN CHASE & CO removed 32,478,144 shares (-6.6%) from their portfolio in Q4 2025, for an estimated $6,057,173,856
- SOFTBANK GROUP CORP. removed 32,110,456 shares (-100.0%) from their portfolio in Q4 2025, for an estimated $5,988,600,044
- FMR LLC added 22,789,685 shares (+2.3%) to their portfolio in Q1 2026, for an estimated $3,895,212,960
To track hedge funds' stock portfolios, check out Quiver Quantitative's institutional holdings dashboard. You can access data on hedge funds moves and 13F filings through the Quiver Quantitative API 13F endpoint.
$NVDA Analyst Ratings
Wall Street analysts have issued reports on $NVDA in the last several months. We have seen 10 firms issue buy ratings on the stock, and 0 firms issue sell ratings.
Here are some recent analyst ratings:
- Needham issued a "Buy" rating on 05/21/2026
- Benchmark issued a "Buy" rating on 03/31/2026
- RBC Capital issued a "Outperform" rating on 01/15/2026
- Mizuho issued a "Outperform" rating on 01/09/2026
- Stifel issued a "Buy" rating on 12/29/2025
- Truist Securities issued a "Buy" rating on 12/29/2025
- Bernstein issued a "Outperform" rating on 12/26/2025
To track analyst ratings and price targets for $NVDA, check out Quiver Quantitative's $NVDA forecast page.
$NVDA Price Targets
Multiple analysts have issued price targets for $NVDA recently. We have seen 27 analysts offer price targets for $NVDA in the last 6 months, with a median target of $307.0.
Here are some recent targets:
- Jack Zhou from China Renaissance set a target price of $319.0 on 06/05/2026
- N. Quinn Bolton from Needham set a target price of $270.0 on 06/02/2026
- Gil Luria from DA Davidson set a target price of $300.0 on 06/01/2026
- Ivan Feinseth from Tigress Financial set a target price of $425.0 on 05/27/2026
- Srini Pajjuri from RBC Capital set a target price of $270.0 on 05/21/2026
- John Vinh from Keybanc set a target price of $310.0 on 05/21/2026
- Vivek Arya from B of A Securities set a target price of $350.0 on 05/21/2026
Full Release
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.
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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
[email protected]
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.
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