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SK Group Chairman Chey Tae-won (third from left), Nvidia CEO Jensen Huang (second from left), SK Hynix CEO Kwak Noh-jung (left), and SKT CEO Jung Jae-heon take a photo together during a 'Kkanbu meeting' held in Samseong-dong, Seoul, on the 8th. / Photo by Reporter Song Ui-ju

SK Hynix announced on the 8th that it is strengthening its long-term technological partnership with Nvidia to jointly develop next-generation memory for building global AI factories and to accelerate semiconductor design and manufacturing.

"AI factories are the engine of the next industrial revolution, and advanced memory is at the core of its performance," said Nvidia CEO Jensen Huang. He added, "SK Hynix has been an outstanding partner playing a pivotal role in providing advanced memory technology for Nvidia’s AI computing platform. Together, we will jointly develop next-generation memory for AI factories and support the accelerated expansion of global AI infrastructure, from frontier model training to agentic AI and physical AI."

SK Group Chairman Chey Tae-won remarked, "This partnership proves the depth of collaboration that SK Hynix and Nvidia have shared over the years," adding, "By jointly developing next-generation memory for AI factories and applying AI to semiconductor design and manufacturing, our two companies will shape the future of AI infrastructure together."

This long-term partnership secures a stable supply, taking into account the long development cycle of advanced memory. Based on this, SK Hynix will continuously supply memory that aligns with Nvidia’s infrastructure roadmap and the demands of global AI infrastructure construction.

Through this partnership, SK Hynix will also enter new AI markets pioneered by Nvidia, including AI infrastructure, personal AI, and physical AI. The two companies plan to jointly develop memory for the Vera Rubin AI supercomputer, Vera CPU, RTX Spark PC, and the Jetson Thor robotic computing platform.

Cooperation to advance simulation technology required for semiconductor development is also underway. SK Hynix is utilizing Nvidia's CUDA-X libraries and PhysicsNeMo framework to increase the processing speed and efficiency of simulation workloads necessary in the semiconductor design and manufacturing process. This includes Technology Computer-Aided Design (TCAD) for analyzing semiconductor process characteristics, and computational lithography technology for precisely implementing semiconductor circuits.

Plans are in place to expand this collaboration across the entire spectrum of Electronic Design Automation (EDA) and simulation. Through this, they intend to drive innovation in the semiconductor development environment by establishing a triangular cooperation framework that involves semiconductor manufacturers, Nvidia as the AI computing platform provider, and EDA software companies.

Advancing digital twin technology, a core foundation for realizing autonomous manufacturing, is another major objective of this cooperation. SK Hynix is leveraging Nvidia’s Omniverse libraries and OpenUSD technology to replicate actual semiconductor fabs in a 3D virtual space, enabling more precise visualization, analysis, and optimization of complex semiconductor manufacturing environments.

They also plan to link the digital twin environment with existing manufacturing systems and AI-based business processes. Through this, it is expected that AI will analyze fab operation data in real time and automate tasks, thereby increasing productivity and operational efficiency while further sophisticatedizing manufacturing decision-making.

                                                                                                           Ahn So-yeon