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SK hynix and NVIDIA Announce Multiyear Partnership for Next-Generation Memory and AI-Enhanced Semiconductor Manufacturing

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SK hynix and NVIDIA Forge Multiyear Partnership for Next-Generation AI Memory

SK hynix and NVIDIA have entered into a multiyear technology partnership to co-develop next-generation memory aligned with NVIDIA's AI infrastructure roadmap. The agreement aims to secure supply for advanced memory, addressing the long development cycles and capital investments needed for global AI factory expansion.

"AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance." — Jensen Huang, Founder and CEO of NVIDIA

Expanding Into New AI Markets

As part of the collaboration, SK hynix will diversify into new markets created by NVIDIA, including:

  • AI infrastructure
  • Personal AI
  • Physical AI

The company will co-develop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic platforms.

AI-Driven Semiconductor Innovation

The partnership extends beyond memory hardware. SK hynix and NVIDIA will apply AI to semiconductor chip design and manufacturing, using:

  • NVIDIA CUDA-X libraries
  • PhysicsNeMo to accelerate simulations, TCAD workflows, and in-house engineering codes

This integration aims to enhance the efficiency and speed of semiconductor development.

The Road to Fully Autonomous Fabs

SK hynix will advance factory digital twins by combining:

  • NVIDIA Omniverse
  • OpenUSD scene optimization
  • NVIDIA cuOpt

These technologies will drive fully autonomous fab operations, marking a significant leap in manufacturing intelligence.

"This partnership reflects years of collaboration. We are co-developing next-generation memory for AI factories and applying AI to semiconductor design and manufacturing." — Chey Tae-won, Chairman of SK Group

Ensuring Long-Term Supply Stability

The agreement supports supply for advanced memory to keep pace with NVIDIA's infrastructure roadmap and the sustained buildout of AI infrastructure worldwide.

SK hynix is already using CUDA-X and PhysicsNeMo to accelerate core workloads in its in-house simulation codes and AI physics workflows, extending these tools to the broader semiconductor EDA and simulation ecosystems.

The digital twin initiative for autonomous fab operations also incorporates the Metropolis platform, with exploration into connecting digital twins with legacy software and agentic AI workflows.