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NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories

(Moderate)
(Very Positive)
Tags
partnership AI

NVIDIA (NASDAQ:NVDA) and SK hynix announced a multiyear technology partnership to advance next-generation memory for the global buildout of AI factories. The deal aligns memory codevelopment with NVIDIA's AI infrastructure roadmap and supports supply for advanced memory across AI infrastructure, personal AI and physical AI.

SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor platforms, and will use NVIDIA CUDA-X, PhysicsNeMo, Omniverse, OpenUSD and cuOpt to accelerate chip design, semiconductor simulations and autonomous fab digital twins.

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Positive

  • Multiyear NVIDIA–SK hynix partnership aligned to NVIDIA AI infrastructure roadmap
  • Agreement supports advanced memory supply for global AI factory buildout
  • Codevelopment of memory for Vera Rubin supercomputers, Vera CPUs, RTX Spark PCs and Jetson Thor
  • Use of NVIDIA CUDA-X and PhysicsNeMo to accelerate semiconductor simulations and TCAD workflows
  • Development of fab digital twins using NVIDIA Omniverse, OpenUSD, cuOpt and Metropolis for autonomous operations
  • SK hynix diversification into NVIDIA-created markets across AI infrastructure, personal AI and physical AI

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 deepens NVIDIA’s AI factory strategy by tying SK hynix memory roadmaps to NVIDIA’s...
Analysis

This announcement deepens NVIDIA’s AI factory strategy by tying SK hynix memory roadmaps to NVIDIA’s Vera Rubin, RTX Spark and Jetson Thor platforms, while applying CUDA‑X and PhysicsNeMo to chip design and fab simulations. Historically, similar AI partnerships produced modestly positive average moves of 1.95%, but reactions have varied. Investors may watch execution on digital twins, autonomous fab operations and sustained AI infrastructure demand as key proof points.

Key Figures

Agreement term: Multiyear Collaboration type: Three-way collaborations Factory modeling: 3D factory scenes
3 metrics
Agreement term Multiyear Technology partnership between NVIDIA and SK hynix
Collaboration type Three-way collaborations Chipmakers, NVIDIA and EDA software vendors
Factory modeling 3D factory scenes Digital twin visualization and optimization of fabs

Previous Partnership,AI Reports

5 past events · Latest: May 19 (Positive)
Same Type Pattern 5 events
Date Event Sentiment 24h Move Catalyst
May 19 AI partnership launch Positive -1.3% EnterpriseClaw AI agent platform collaboration with Cisco, NVIDIA, Okta, OpenAI.
May 07 AI infra partnership Positive +1.8% Strategic partnership with IREN to deploy up to 5GW of AI infrastructure.
May 06 Manufacturing expansion deal Positive +5.8% Corning partnership to expand U.S. optical connectivity and fiber output for AI.
Jan 06 Industrial AI alliance Positive -0.5% Siemens collaboration to build an industrial AI operating system and blueprints.
Sep 22 Hyperscale AI deal Positive +3.9% OpenAI partnership to deploy 10GW NVIDIA systems with large investment commitments.

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

Pattern Detected

AI partnership headlines for NVDA have generally seen modestly positive next-day moves, with occasional negative divergences.

Recent Company History

Over the past year, NVIDIA has repeatedly used multiyear AI partnerships to extend its AI factory ecosystem. Deals with IREN targeted up to 5 gigawatts of infrastructure, while Corning committed to 10x optical capacity, >50% more U.S. fiber, and 3,000 new jobs. Agreements with Siemens and OpenAI framed NVIDIA as a core partner for industrial and foundation-model AI buildouts. Today’s SK hynix collaboration fits that pattern by deepening the supply and technology stack around memory for AI factories.

Key Terms

technology computer-aided design, computational lithography, electronic design automation, digital twins, +2 more
6 terms
technology computer-aided design technical
"speed semiconductor simulation, including technology computer-aided design and computational lithography"
Computer-aided design (CAD) technology is software that lets engineers and designers create, modify and test digital models of products, buildings, circuits or components on a computer instead of on paper or in a physical workshop. For investors it matters because CAD speeds development, reduces costly mistakes by letting teams spot problems early, and helps bring products to market faster and cheaper—like using a virtual mock-up instead of building many costly physical prototypes.
computational lithography technical
"speed semiconductor simulation, including technology computer-aided design and computational lithography workflows"
Computational lithography is the use of advanced software and simulations to design and correct the tiny patterns used to make semiconductor chips, predicting how those patterns will print and adjusting them before physical masks are made. It matters to investors because it improves manufacturing yield, reduces costly trial-and-error, and enables more advanced, higher-performance chips to reach market faster—affecting chipmakers’ costs, production capacity, and competitiveness.
electronic design automation technical
"semiconductor electronic design automation and simulation ecosystems, this initiative paves"
Electronic design automation (EDA) is the set of software tools engineers use to create, test and optimize electronic circuits and computer chips before anything is physically built. Think of it as a digital workshop and simulator that lets designers draw a blueprint, catch mistakes, and try performance tweaks quickly — which matters to investors because EDA reduces development time, manufacturing mistakes and costs, and directly affects the competitiveness and profitability of companies that make chips and electronic products.
digital twins technical
"SK hynix is developing fab digital twins as a foundation for autonomous fab operations"
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.
autonomous mobile robots technical
"movement of autonomous mobile robots and other fab assets, using the open source"
Autonomous mobile robots are self-guided machines that move around workplaces—like self-driving carts or robotic helpers—to carry goods, inspect equipment, or perform routine tasks without a person steering them. They matter to investors because they can lower labor costs, speed up operations, and scale capacity much like adding more automated assembly lines, while also carrying adoption, integration and regulatory risks that can affect a business’s cost structure and growth prospects.
cuda-x technical
"using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations"
Cuda-X is a computer technology designed to significantly speed up complex calculations and data processing tasks by using advanced hardware and software techniques. For investors, this means faster and more efficient analysis of large amounts of information, potentially leading to quicker decision-making and a competitive edge in markets. Think of it as upgrading from a bicycle to a high-speed train for handling demanding digital workloads.

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

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Collaboration Supports Next-Generation Memory Codevelopment With NVIDIA’s AI Infrastructure Roadmap and Expands Supply for the Accelerating Global AI Factory Buildout

News Summary:

  • NVIDIA and SK hynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA’s AI infrastructure roadmap.
  • The agreement supports supply for advanced memory, addressing the extended development cycles, advanced fabrication and capital investments to sustain the global buildout of AI factories.
  • SK hynix will diversify into new markets NVIDIA is creating — across AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms.
  • The two companies will apply AI to semiconductor chip design and manufacturing, using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations, TCAD workflows and in-house engineering codes.
  • SK hynix will advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization and NVIDIA cuOpt to drive fully autonomous fab operations.


SEOUL, South Korea, June 07, 2026 (GLOBE NEWSWIRE) -- NVIDIA and SK hynix today announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout and accelerate semiconductor design and manufacturing. The agreement builds on years of deep co-engineering collaboration that has powered some of the world’s most advanced AI computing platforms.  

“AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance,” said Jensen Huang, founder and CEO of NVIDIA. “SK hynix has been an extraordinary partner to NVIDIA, playing a central role in delivering advanced memory technologies for NVIDIA AI computing platforms. Together, we will codevelop the next generation of memory for AI factories and support the accelerating global expansion of AI infrastructure — from frontier model training to agentic and physical AI.”

“SK hynix and NVIDIA have been building toward this for years, and this partnership reflects the depth of that collaboration,” said Chey Tae-won, Chairman of SK Group. “Together, we are codeveloping the next generation of memory for AI factories and applying AI to how we design and manufacture semiconductors — work that will shape the future of AI infrastructure.”

The multiyear agreement supports supply to address the extended development cycles of advanced memory. As AI factories scale globally, this strategic partnership enables memory supply to keep pace with NVIDIA’s infrastructure roadmap and the sustained buildout of AI infrastructure worldwide. Through this partnership, SK hynix will diversify into new markets NVIDIA is creating — spanning AI infrastructure, personal AI and physical AI — codeveloping memory for NVIDIA Vera Rubin AI supercomputers, NVIDIA Vera CPUs, NVIDIA RTX Spark™-powered PCs and NVIDIA Jetson Thor™ robotic computing platforms.

Accelerating Technology Computer-Aided Design and Semiconductor Simulation
SK hynix is using NVIDIA CUDA-X™ libraries and AI to speed semiconductor simulation, including technology computer-aided design and computational lithography workflows.

SK hynix is also using CUDA-X and the NVIDIA PhysicsNeMo™ framework to deliver core-workload acceleration across its in-house simulation codes and AI physics workflows.

By extending these tools to the semiconductor electronic design automation and simulation ecosystems, this initiative paves the way for three-way collaborations among chipmakers, NVIDIA and electronic design automation software vendors.

Advancing Fab Digital Twins for Autonomous Manufacturing
SK hynix is developing fab digital twins as a foundation for autonomous fab operations. Teams can use scene optimization technologies, as well as NVIDIA Omniverse™ libraries and OpenUSD pipelines, to build 3D factory scenes for visualizing, simulating and optimizing complex semiconductor manufacturing environments.

These digital twins can also support operational optimization, including the movement of autonomous mobile robots and other fab assets, using the open source, GPU-accelerated NVIDIA cuOpt™ decision optimization engine and the NVIDIA Metropolis platform.

The companies are also exploring ways to connect digital twins with existing legacy software and agentic AI workflows, enabling AI systems to reason over fab data, automate tasks and improve manufacturing decision-making.

About SK hynix Inc.
SK hynix Inc., headquartered in Korea, is the world’s top tier semiconductor supplier offering Dynamic Random Access Memory chips (“DRAM”) and flash memory chips (“NAND flash”) for a wide range of distinguished customers globally. The Company’s shares are traded on the Korea Exchange, and the Global Depository shares are listed on the Luxembourg Stock Exchange. Further information about SK hynix is available at www.skhynix.com, news.skhynix.com.

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 

SK hynix Inc.
Global Public Relations
global_pr@skhynix.com

Certain statements in this press release including, but not limited to, statements as to: SK hynix and NVIDIA codeveloping the next generation of memory for AI factories and support the accelerating global expansion of AI infrastructure — from frontier model training to agentic and physical AI; 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, CUDA-X, cuOpt, Jetson Thor, NVIDIA PhysicsNeMo and NVIDIA RTX Spark 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. Features, pricing, availability and specifications are subject to change without notice.

A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/c5f282c7-54c2-40b0-99fe-c1f525f88ee7


FAQ

What is the NVIDIA (NVDA) and SK hynix multiyear technology partnership announced on June 7, 2026?

NVIDIA and SK hynix agreed to a multiyear technology partnership focused on next-generation memory for AI factories. According to NVIDIA, the collaboration aligns advanced memory codevelopment with its AI infrastructure roadmap and supports long-term supply for rapidly scaling AI infrastructure worldwide.

How does the NVIDIA (NVDA) and SK hynix deal support next-generation memory for AI factories?

The partnership targets codevelopment and supply of advanced memory tailored to NVIDIA AI infrastructure. According to NVIDIA, it addresses extended development cycles, advanced fabrication needs and capital investments required to sustain the global buildout of AI factories, from frontier model training to agentic and physical AI.

Which NVIDIA (NVDA) platforms will use SK hynix memory under the new partnership?

SK hynix will codevelop memory for several key NVIDIA platforms across AI and robotics. According to NVIDIA, these include NVIDIA Vera Rubin AI supercomputers, NVIDIA Vera CPUs, NVIDIA RTX Spark-powered PCs and NVIDIA Jetson Thor robotic computing platforms serving AI infrastructure, personal AI and physical AI.

How will NVIDIA (NVDA) and SK hynix use AI to improve semiconductor design and manufacturing?

SK hynix plans to use NVIDIA CUDA-X libraries and AI to speed semiconductor simulations and workflows. According to NVIDIA, SK hynix also uses the NVIDIA PhysicsNeMo framework to accelerate in-house simulation codes and AI physics workloads, enhancing technology computer-aided design and computational lithography processes.

What are fab digital twins in the NVIDIA (NVDA) and SK hynix AI manufacturing collaboration?

Fab digital twins are detailed 3D factory models used to simulate and optimize semiconductor manufacturing. According to NVIDIA, SK hynix is developing these using NVIDIA Omniverse, OpenUSD, cuOpt and Metropolis to support autonomous fab operations, robotic movement planning and improved manufacturing decision-making.

How could the NVIDIA (NVDA) and SK hynix partnership affect AI infrastructure markets?

The agreement is designed to align memory supply with NVIDIA's expanding AI infrastructure roadmap. According to NVIDIA, SK hynix will diversify into markets it is creating, spanning AI infrastructure, personal AI and physical AI, potentially supporting broader adoption of NVIDIA-based AI factory solutions.