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NVIDIA and SK hynix Partner on Next-Generation Memory for AI Factories

NVIDIA and SK hynix have forged a multiyear technology partnership aimed at advancing next-generation memory crucial for the global buildout of AI factories. This strategic agreement addresses the complex challenges of extended development cycles and massive capital investments required to sustain worldwide AI infrastructure. The collaboration will see both companies codevelop advanced memory solutions across various emerging markets, including supercomputing and physical AI platforms.

Поруч розташовані корпоративні логотипи компаній SK hynix та NVIDIA на однотонному чорному фоні.
Поруч розташовані корпоративні логотипи компаній SK hynix та NVIDIA на однотонному чорному фоні. · Image source: Nvidianews

NVIDIA and SK hynix today announced a multiyear technology partnership designed to accelerate the supply of next-generation memory for the expanding global AI factory ecosystem. This agreement builds upon years of deep co-engineering collaboration that has underpinned some of the world’s most advanced AI computing platforms.

According to Nvidianews, this strategic alliance is vital as AI factories are becoming the primary engines of the next industrial revolution. Jensen Huang, founder and CEO of NVIDIA, stated, “AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance.” The partnership allows SK hynix to diversify into new markets created by NVIDIA, spanning three key areas: AI infrastructure, personal AI, and physical AI.

Expanding Memory Solutions Across Diverse AI Platforms

The scope of the collaboration extends far beyond traditional data centers. Together, the companies will codevelop specialized memory for a range of advanced hardware, ensuring that the accelerating global expansion of AI infrastructure can keep pace with NVIDIA’s roadmap. These platforms include:

  • NVIDIA Vera Rubin AI supercomputers
  • NVIDIA Vera CPUs
  • NVIDIA RTX Spark-powered PCs
  • NVIDIA Jetson Thor robotic computing platforms

Chey Tae-won, Chairman of SK Group, noted that this work will shape the future of AI infrastructure by applying AI to both semiconductor design and manufacturing processes.

Accelerating Chip Design with AI Simulation

A core component of the partnership involves leveraging artificial intelligence to dramatically speed up complex semiconductor simulations. SK hynix is integrating NVIDIA CUDA-X libraries and AI frameworks into its technology computer-aided design (TCAD) workflows. This initiative allows for accelerated computational lithography and simulation across in-house engineering codes.

By extending these powerful tools into the electronic design automation and simulation ecosystems, the partnership paves the way for deeper collaborations among chipmakers, NVIDIA, and EDA software vendors, streamlining the path from concept to production.

Driving Autonomous Manufacturing with Digital Twins

Furthermore, SK hynix is utilizing advanced visualization technologies to develop factory digital twins—a foundation for fully autonomous fab operations. Teams can employ scene optimization techniques alongside NVIDIA Omniverse libraries and OpenUSD pipelines to construct detailed 3D representations of complex semiconductor manufacturing environments.

These digital twins are not merely visualizations; they support operational optimization, including the precise movement of autonomous mobile robots and other critical factory assets. This integration of AI into the physical manufacturing process represents a significant leap toward self-optimizing industrial production lines.

The combined efforts of NVIDIA and SK hynix solidify their commitment to providing the foundational hardware and software necessary for the next generation of highly automated, intelligent computing infrastructure.

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