NVIDIA And SK Hynix Announce AI Memory Technology Partnership
NVIDIA and SK Hynix have 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 is designed to support long-term supply needs as AI factories scale globally, ensuring memory development keeps pace with NVIDIA’s infrastructure roadmap and the broader expansion of AI systems worldwide. SK hynix will also expand into emerging markets being shaped by NVIDIA, including AI infrastructure, personal AI, and physical AI, while co-developing memory for platforms such as NVIDIA Vera Rubin AI supercomputers, NVIDIA Vera CPUs, NVIDIA RTX Spark-powered PCs, and NVIDIA Jetson Thor robotic computing platforms.
SK Hynix is using NVIDIA CUDA-X libraries and AI to accelerate semiconductor simulation, including technology computer-aided design and computational lithography workflows. The company is also applying CUDA-X and the NVIDIA PhysicsNeMo framework to speed up in-house simulation and AI physics workloads.
These tools are being extended into broader electronic design automation ecosystems, enabling deeper collaboration between chipmakers, NVIDIA, and EDA software vendors.
SK Hynix is also developing fab digital twins to support autonomous manufacturing. Using NVIDIA Omniverse libraries and OpenUSD pipelines, the company is building 3D factory environments for simulation, visualization, and optimization of semiconductor production.
These digital twins can also improve operational efficiency, including autonomous mobile robot movement and factory logistics, using the NVIDIA cuOpt optimization engine and NVIDIA Metropolis platform. The companies are further exploring integrations between digital twins, legacy systems, and agentic AI workflows to enable automated reasoning, task execution, and improved decision-making across semiconductor operations.
