SK hynix and NVIDIA have announced a multi-year technology partnership to advance next-generation memory aligned with NVIDIA’s AI infrastructure roadmap and to support the global buildout of AI factories.
The agreement addresses the extended development cycles, advanced fabrication processes, and capital investments required for advanced memory supply. It builds on prior co-engineering collaboration between the two companies.
Under the partnership, SK hynix will diversify into new markets created by NVIDIA across AI infrastructure, personal AI, and physical AI. The company will co-develop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotics platforms.
The partnership includes the application of AI to semiconductor chip design and manufacturing. SK hynix will use NVIDIA CUDA-X libraries and the NVIDIA PhysicsNeMo framework to accelerate semiconductor simulations, Technology Computer-Aided Design (TCAD) workflows, computational lithography, and in-house engineering codes. This approach is intended to support broader collaborations among chipmakers, NVIDIA, and electronic design automation software vendors.
SK hynix is also advancing factory digital twins to support autonomous fab operations. The company is utilizing NVIDIA Omniverse, OpenUSD scene optimization, and the NVIDIA cuOpt decision optimization engine, along with the NVIDIA Metropolis platform, to build 3D factory scenes for visualization, simulation, and optimization of semiconductor manufacturing environments. These digital twins will handle operational aspects such as the movement of autonomous mobile robots and other fab assets.
The companies are exploring connections between digital twins and existing legacy software as well as agentic AI workflows to enable AI systems to reason over fab data, automate tasks, and improve manufacturing decision-making.
Chey Tae-won, Chairman of SK Group, stated that the partnership reflects years of collaboration and focuses on co-developing next-generation memory for AI factories and applying AI to semiconductor design and manufacturing.
Jensen Huang, founder and CEO of NVIDIA, said that advanced memory is essential to AI factories and that the partnership will support co-development of next-generation memory and the global expansion of AI infrastructure from frontier model training to agentic and physical AI.
