NVIDIA and SK hynix have announced a multiyear technology partnership focused on developing next-generation memory technologies for AI infrastructure and accelerating semiconductor design and manufacturing.

The agreement expands a longstanding collaboration between the two companies and aligns future memory development with NVIDIA’s AI infrastructure roadmap. As demand for AI factories continues to grow globally, the partnership aims to ensure a steady supply of advanced memory technologies required for large-scale AI computing systems.

Under the collaboration, SK Hynix will co-develop memory solutions for NVIDIA’s upcoming AI platforms, including Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing systems. The initiative also broadens SK Hynix’s participation in emerging markets spanning AI infrastructure, personal AI, and physical AI.

“AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance,” said Jensen Huang. “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.”

Beyond memory development, the companies will apply AI to semiconductor engineering workflows. SK hynix plans to use NVIDIA’s CUDA-X libraries and PhysicsNeMo framework to accelerate semiconductor simulations, technology computer-aided design (TCAD), computational lithography, and internal engineering codes.