NVIDIA and SK hynix have announced a multiyear technology partnership to co-develop next-generation memory for AI factories and accelerate semiconductor design and manufacturing. The agreement builds on years of deep co-engineering collaboration that has already powered some of the world's most advanced AI computing platforms.
Under the partnership, SK hynix will co-develop memory for NVIDIA's Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing platforms — spanning AI infrastructure, personal AI, and physical AI markets.
Beyond memory supply, the collaboration extends into how chips are designed and built. SK hynix is applying NVIDIA's CUDA-X libraries and PhysicsNeMo framework to accelerate its in-house simulation and AI physics workflows, with the initiative also opening the door to three-way collaboration among chipmakers, NVIDIA, and electronic design automation vendors. SK hynix is additionally developing fab digital twins using NVIDIA Omniverse and OpenUSD pipelines to simulate and optimize complex semiconductor manufacturing environments — a step toward autonomous fab operations.
Jensen Huang framed the deal in broad terms: "AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance — from frontier model training to agentic and physical AI." SK Group Chairman Chey Tae-won echoed the sentiment, describing the partnership as one that "will shape the future of AI infrastructure."
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