{"id":971272,"date":"2026-06-07T19:03:13","date_gmt":"2026-06-07T23:03:13","guid":{"rendered":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/"},"modified":"2026-06-07T19:03:13","modified_gmt":"2026-06-07T23:03:13","slug":"nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories","status":"publish","type":"post","link":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/","title":{"rendered":"NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories"},"content":{"rendered":"<h2>\nCollaboration Supports Next-Generation Memory Codevelopment With NVIDIA\u2019s AI Infrastructure Roadmap and Expands Supply for the Accelerating Global AI Factory Buildout<br \/>\n<\/h2>\n<div class=\"mw_release\">\n<p>\n        <strong>News Summary:<\/strong>\n      <\/p>\n<ul type=\"disc\">\n<li>NVIDIA and SK hynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA\u2019s AI infrastructure roadmap.<\/li>\n<li>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.<\/li>\n<li>SK hynix will diversify into new markets NVIDIA is creating \u2014 across AI infrastructure, personal AI and physical AI \u2014 codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms.<\/li>\n<li>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.<\/li>\n<li>SK hynix will advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization and NVIDIA cuOpt to drive fully autonomous fab operations.<\/li>\n<\/ul>\n<p>\n        <br \/>SEOUL, South Korea, June  07, 2026  (GLOBE NEWSWIRE) &#8212; 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\u2019s most advanced AI computing platforms. \u00a0<\/p>\n<p>\u201cAI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance,\u201d said Jensen Huang, founder and CEO of NVIDIA. \u201cSK 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 \u2014 from frontier model training to agentic and physical AI.\u201d<\/p>\n<p>\u201cSK hynix and NVIDIA have been building toward this for years, and this partnership reflects the depth of that collaboration,\u201d said Chey Tae-won, Chairman of SK Group. \u201cTogether, we are codeveloping the next generation of memory for AI factories and applying AI to how we design and manufacture semiconductors \u2014 work that will shape the future of AI infrastructure.\u201d<\/p>\n<p>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\u2019s infrastructure roadmap and the sustained buildout of AI infrastructure worldwide. Through this partnership, SK hynix will diversify into new markets NVIDIA is creating \u2014 spanning AI infrastructure, personal AI and <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/generative-physical-ai\/\" rel=\"nofollow\" target=\"_blank\">physical AI<\/a> \u2014 codeveloping memory for <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/technologies\/rubin\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA Vera Rubin AI supercomputers<\/a>, <a href=\"https:\/\/www.nvidia.com\/en-us\/data-center\/vera-cpu\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA Vera CPUs<\/a>, <a href=\"https:\/\/www.nvidia.com\/en-us\/products\/rtx-spark\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA RTX Spark\u2122-powered PCs<\/a> and <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/embedded-systems\/jetson-thor\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA Jetson Thor\u2122 robotic computing platforms<\/a>.<\/p>\n<p>\n        <strong>Accelerating Technology Computer-Aided Design and Semiconductor Simulation<\/strong><br \/>\n        <br \/>SK hynix is using <a href=\"https:\/\/www.nvidia.com\/en-us\/technologies\/cuda-x\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA CUDA-X<\/a>\u2122 libraries and AI to speed semiconductor simulation, including technology computer-aided design and computational lithography workflows.<\/p>\n<p>SK hynix is also using CUDA-X and the <a href=\"https:\/\/developer.nvidia.com\/physicsnemo\" rel=\"nofollow\" target=\"_blank\">NVIDIA PhysicsNeMo<\/a>\u2122 framework to deliver core-workload acceleration across its in-house simulation codes and AI physics workflows.<\/p>\n<p>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.<\/p>\n<p>\n        <strong>Advancing Fab Digital Twins for Autonomous Manufacturing<\/strong><br \/>\n        <br \/>SK hynix is developing fab <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/digital-twin\/\" rel=\"nofollow\" target=\"_blank\">digital twins<\/a> as a foundation for autonomous fab operations. Teams can use scene optimization technologies, as well as <a href=\"https:\/\/www.nvidia.com\/en-us\/omniverse\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA Omniverse\u2122<\/a> libraries and <a href=\"https:\/\/www.nvidia.com\/en-us\/glossary\/openusd\/\" rel=\"nofollow\" target=\"_blank\">OpenUSD<\/a> pipelines, to build 3D factory scenes for visualizing, simulating and optimizing complex semiconductor manufacturing environments.<\/p>\n<p>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 <a href=\"https:\/\/www.nvidia.com\/en-us\/ai-data-science\/products\/cuopt\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA cuOpt<\/a>\u2122 decision optimization engine and the <a href=\"https:\/\/www.nvidia.com\/en-us\/autonomous-machines\/intelligent-video-analytics-platform\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA Metropolis<\/a> platform.<\/p>\n<p>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.<\/p>\n<p>\n        <strong>About SK hynix Inc.<\/strong><br \/>\n        <br \/>SK hynix Inc., headquartered in Korea, is the world\u2019s top tier semiconductor supplier offering Dynamic Random Access Memory chips (\u201cDRAM\u201d) and flash memory chips (\u201cNAND flash\u201d) for a wide range of distinguished customers globally. The Company\u2019s 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, <a href=\"http:\/\/news.skhynix.com\" rel=\"nofollow\" target=\"_blank\">news.skhynix.com<\/a>.<\/p>\n<p>\n        <strong>About NVIDIA<br \/><\/strong><br \/>\n        <a href=\"https:\/\/www.nvidia.com\/\" rel=\"nofollow\" target=\"_blank\">NVIDIA<\/a> (NASDAQ: NVDA) is the world leader in AI and accelerated computing.<\/p>\n<p>\n        <strong>For further information, contact:<\/strong><br \/>\n        <br \/>Corporate Communications<br \/>NVIDIA Corporation<br \/><a href=\"mailto:press@nvidia.com\" rel=\"nofollow\" target=\"_blank\">press@nvidia.com<\/a>\u00a0<\/p>\n<p>SK hynix Inc.<br \/>Global Public Relations <br \/><a href=\"mailto:global_pr@skhynix.com\" rel=\"nofollow\" target=\"_blank\">global_pr@skhynix.com<\/a><\/p>\n<p>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 \u2014 from frontier model training to agentic and physical AI; expectations with respect to growth, performance, availability, and benefits of NVIDIA\u2019s products, services and technologies, and related trends and drivers; expectations with respect to NVIDIA\u2019s 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 \u201csafe harbor\u201d created by those sections based on management\u2019s 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\u2019s reliance on third parties to manufacture, assemble, package and test NVIDIA\u2019s products; the impact of technological development and competition; development of new products and technologies or enhancements to NVIDIA\u2019s existing products and technologies; market acceptance of NVIDIA\u2019s products or NVIDIA\u2019s partners\u2019 products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of NVIDIA\u2019s products or technologies when integrated into systems; NVIDIA\u2019s 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\u2019s 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.<\/p>\n<p>\u00a9 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.<\/p>\n<p>A photo accompanying this announcement is available at <a href=\"https:\/\/www.globenewswire.com\/NewsRoom\/AttachmentNg\/c5f282c7-54c2-40b0-99fe-c1f525f88ee7\" rel=\"nofollow\" target=\"_blank\">https:\/\/www.globenewswire.com\/NewsRoom\/AttachmentNg\/c5f282c7-54c2-40b0-99fe-c1f525f88ee7<\/a><\/p>\n<p>      <img decoding=\"async\" alt=\"\" class=\"__GNW8366DE3E__IMG\" src=\"https:\/\/www.globenewswire.com\/newsroom\/ti?nf=OTczMzA1MyM3NjUwMTM2IzIwMDY5MTI=\" \/><br \/>\n      <br \/>\n      <img decoding=\"async\" alt=\"\" src=\"https:\/\/ml.globenewswire.com\/media\/N2FmMTA2ZWEtZjZlMy00YzViLWJiNDQtYzU2ZDYzMDM1YzM1LTEwMTg0ODUtMjAyNi0wNi0wNy1lbg==\/tiny\/NVIDIA-CORPORATION.png\" \/>\n    <\/div>\n<div class=\"mw_contactinfo\"><\/div>\n","protected":false},"excerpt":{"rendered":"<p>Collaboration Supports Next-Generation Memory Codevelopment With NVIDIA\u2019s 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\u2019s 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 \u2014 across AI infrastructure, personal AI and physical AI \u2014 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 &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-971272","post","type-post","status-publish","format-standard","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories - Market Newsdesk<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories - Market Newsdesk\" \/>\n<meta property=\"og:description\" content=\"Collaboration Supports Next-Generation Memory Codevelopment With NVIDIA\u2019s 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\u2019s 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 \u2014 across AI infrastructure, personal AI and physical AI \u2014 codeveloping memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs and Jetson Thor robotic computing platforms. 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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 \u2014 across AI infrastructure, personal AI and physical AI \u2014 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 &hellip; Continue reading \"NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories\"","og_url":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/","og_site_name":"Market Newsdesk","article_published_time":"2026-06-07T23:03:13+00:00","og_image":[{"url":"https:\/\/www.globenewswire.com\/newsroom\/ti?nf=OTczMzA1MyM3NjUwMTM2IzIwMDY5MTI=","type":"","width":"","height":""}],"author":"Newsdesk","twitter_card":"summary_large_image","twitter_misc":{"Written by":"Newsdesk","Est. reading time":"6 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/#article","isPartOf":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/"},"author":{"name":"Newsdesk","@id":"https:\/\/www.marketnewsdesk.com\/#\/schema\/person\/482f27a394d4fda80ecb5499e519d979"},"headline":"NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories","datePublished":"2026-06-07T23:03:13+00:00","mainEntityOfPage":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/"},"wordCount":1241,"image":{"@id":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/#primaryimage"},"thumbnailUrl":"https:\/\/www.globenewswire.com\/newsroom\/ti?nf=OTczMzA1MyM3NjUwMTM2IzIwMDY5MTI=","inLanguage":"en-US"},{"@type":"WebPage","@id":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/","url":"https:\/\/www.marketnewsdesk.com\/index.php\/nvidia-and-sk-hynix-announce-multiyear-technology-partnership-to-advance-memory-for-ai-factories\/","name":"NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories - 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