The technology partnership between NVIDIA and SK hynix has been launched to develop advanced memory architecture that is specifically designed for the fast development of artificial intelligence factories globally. The agreement marks another level of the two companies’ longstanding collaboration through the development of computational technologies that will speed up semiconductor simulation and manufacturing processes.
With AI infrastructure scaling towards an enterprise-scale infrastructure, developing cutting-edge hardware involves dealing with long development timelines and large capital outlay. With this partnership, we ensure a safe and well-coordinated supply chain process that will seamlessly align with NVIDIA’s future hardware roadmaps. As per the deal, SK hynix will gain further market share within NVIDIA’s future AI infrastructure ecosystems.
The two companies will jointly engineer specialized memory systems for upcoming platforms, such as the NVIDIA Vera Rubin AI supercomputers, NVIDIA Vera CPUs, NVIDIA RTX Spark™-powered PCs, and NVIDIA Jetson Thor™ robotic computing architectures.
Optimizing Semiconductor Design and Performance Workloads
“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.”
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Accelerating Technology Computer-Aided Design (TCAD)
In order to optimize its manufacturing processes, SK hynix has decided to incorporate NVIDIA CUDA-X™ software libraries and artificial intelligence models into its development pipeline. These help speed up very sophisticated simulations in semiconductors, ranging from TCAD to computational lithography.
Furthermore, SK hynix utilizes the NVIDIA PhysicsNeMo™ framework to achieve hardware acceleration for its proprietary simulation software and AI-driven physics models. By scaling these accelerated computing environments across the broader electronic design automation (EDA) ecosystem, this initiative builds a framework for advanced, three-way technical collaborations among semiconductor chipmakers, software providers, and NVIDIA.
Implementing Industrial Digital Twins for Autonomous Fabs
The partnership also addresses operational efficiency within semiconductor manufacturing plants. SK hynix is developing comprehensive fab digital twins as a foundational step toward fully autonomous operations.
With the help of libraries from NVIDIA Omniverse™ and optimization tools for scenes from OpenUSD, one can create extremely accurate real-time 3D representations of complicated manufacturing facilities. Optimized logistics in factories, including AMR coordination, is achieved by utilizing the NVIDIA cuOpt™ decision optimization engine accelerated by GPUs and NVIDIA Metropolis software. Moving forward, both NVIDIA and Adobe are working on solutions that will enable integration of these virtual environments with traditional databases and agentic AI to support high-level decision-making based on live factory data.
