Nvidia and SK Hynix have announced a comprehensive multiyear partnership that extends far beyond a conventional supplier relationship, establishing a deep collaboration aimed at co-developing the AI memory and semiconductor technologies that will power next-generation AI systems. The deal signals a new era of integrated hardware development where memory and computing capabilities advance in lockstep.
At the heart of the agreement is SK Hynix’s supply of High Bandwidth Memory (HBM) chips — the specialized memory architecture that has become essential for modern AI accelerators. SK Hynix has emerged as a leader in HBM technology, and the multiyear supply commitment gives Nvidia the memory supply chain predictability it needs to plan its next generations of AI chips with confidence.
Beyond memory supply, the partnership expands into cutting-edge areas of semiconductor design and manufacturing. SK Hynix will leverage Nvidia’s CUDA-X libraries and PhysicsNeMo simulation framework to accelerate computational processes including semiconductor simulations, computational lithography, and in-house engineering codes. These AI-powered tools can dramatically reduce the time required to develop and validate new semiconductor designs.
Perhaps most forward-looking is the joint initiative to build factory digital twins using Nvidia Omniverse and OpenUSD pipelines. These virtual replicas of physical semiconductor manufacturing facilities will enable both companies to simulate and optimize manufacturing processes in digital environments before implementing changes on the factory floor — a capability that could substantially reduce the cost and risk of developing advanced semiconductor processes.
The partnership comes as SK Hynix continues to strengthen its AI memory leadership. The company recently shipped samples of HBM4E, the seventh-generation high bandwidth memory product, further extending its technology roadmap. Having Nvidia as a closely integrated development partner gives SK Hynix invaluable insights into the specific memory characteristics that AI workloads require — enabling it to develop products that are more precisely tailored to AI computing needs.
For Nvidia, the deep integration with SK Hynix’s manufacturing processes through AI simulation tools represents a novel approach to supply chain collaboration. By helping its key memory supplier adopt AI-powered manufacturing optimization, Nvidia potentially improves both the quality and production efficiency of the memory chips that define the performance ceiling of its AI accelerators — creating mutual value while deepening a strategic partnership.
