NVIDIA and SK hynix Formalize Multiyear Partnership to Advance AI Infrastructure

NVIDIA and SK hynix announced a multiyear technology partnership on June 7, 2026, to co-develop next-generation memory solutions tailored for the global AI factory buildout. This collaboration aligns SK hynix’s advanced memory fabrication with NVIDIA’s AI infrastructure roadmap, targeting accelerated performance for supercomputing, personal AI, and robotic computing platforms.

Strategic Focus on AI Factory Memory

The partnership addresses the complex requirements of AI factories, which NVIDIA CEO Jensen Huang describes as the “engines of the next industrial revolution.” According to an official NVIDIA announcement, the two companies will codevelop memory specifically for NVIDIA’s Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing platforms. By formalizing this multiyear agreement, the companies aim to stabilize supply chains and support the extended development cycles required for high-bandwidth, high-capacity memory essential to modern AI workloads.

Integration of AI in Chip Design and Manufacturing

Beyond hardware components, the collaboration extends into the design and manufacturing processes themselves. The companies plan to apply AI to semiconductor chip design by utilizing NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations and technical computer-aided design (TCAD) workflows. This shift toward AI-driven engineering is intended to streamline the development of increasingly complex semiconductor architectures.

Advancing Autonomous Fab Operations

A significant portion of the partnership involves the modernization of semiconductor fabrication facilities. SK hynix intends to advance “factory digital twins” by integrating NVIDIA Omniverse, OpenUSD scene optimization, and NVIDIA cuOpt. According to the companies, this digital-first approach will allow for fully autonomous fab operations, enabling more precise visualization and optimization of manufacturing environments. This initiative builds on a history of deep co-engineering between the two firms, which has previously powered various AI computing platforms.

Key Takeaways

• Partnership Scope: A multiyear agreement focused on memory co-development and manufacturing process innovation.
• Target Platforms: Development is centered on Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robots.
• Operational Goals: Implementation of AI-driven digital twins and automated simulation workflows to increase semiconductor production efficiency.
• Strategic Alignment: The collaboration ensures that SK hynix’s memory roadmap remains synchronized with NVIDIA’s long-term AI infrastructure requirements.

Future Outlook

This partnership marks a deepening of the relationship between the two companies as they navigate the scaling challenges of the global AI economy. By combining NVIDIA’s software-defined AI infrastructure with SK hynix’s memory expertise, the companies are positioning themselves to address the capital-intensive nature of next-generation AI factory construction. The focus remains on sustaining the global buildout of AI infrastructure through both technological innovation in hardware and the automation of the manufacturing facilities that produce those components.