NVIDIA & SK Hynix Sign Blockbuster “Multi-Year Technology” Partnership: Will Co-Develop Next-Gen Memory For AI Factories

Hassan Mujtaba
NVIDIA & SK Hynix Sign Blockbuster "Multi-Year Technology" Partnership: Will Co-Develop Next-Gen Memory For AI Factories

NVIDIA has announced a multi-year technology partnership with SK Hynix in co-developing next-gen memory for AI infrastructure.

NVIDIA Jensen Huang Lands In Korea After His Action-Packed Taiwan Visit, Announces Key Partnerships With SK Hynix

NVIDIA CEO Jensen Huang was once again treated like a superstar at this year's Computex in Taipei, Taiwan. The energy that Jensen carried along with him was unmatched, and showed why every major partner wanted to see Jensen visit their company's booth at the showfloor.

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Now, after his action-packed Taipei visit, Jensen decided to make a stop in Korea to meet one of his biggest ecosystem partners, SK Hynix. The collaboration between NVIDIA and SK Hynix is deeply rooted, since they provide Jensen with the latest and greatest memory innovations. During his latest visit, both companies announced another blockbuster partnership, which involves a multi-year technology road-map. Under this partnership, both companies will be collaborating to bring next-gen memory solutions across AI factories.

The following is the full summary of the announcements:

  • NVIDIA and SK hynix announce multiyear technology partnership for next-generation memory aligned to NVIDIA’s AI infrastructure roadmap.
  • The agreement supports supply for advanced memory, addressing the extended development cycles, advanced fabrication, and capital investments to sustain the global buildout of AI factories.
  • SK hynix will diversify into new markets NVIDIA is creating — across AI infrastructure, personal AI, and physical AI — codeveloping memory for Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing platforms.
  • The two companies will apply AI to semiconductor chip design and manufacturing, using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate semiconductor simulations, TCAD workflows, and in-house engineering codes.
  • SK hynix will advance factory digital twins by combining Omniverse, OpenUSD scene optimization, and cuOpt to drive fully autonomous fab operations.

As we know, Agentic AI is the primary force behind memory supply shortages, and NVIDIA, with SK Hynix, will enable memory supply to keep pace with their latest AI infrastructure roadmap. This collab allows SK Hynix to diversify its memory solutions into Personal AI and Physical AI segments, while co-developing the required platforms for NVIDIA's latest and greatest.

“AI factories are the engines of the next industrial revolution, and advanced memory is essential to their performance,” said Jensen Huang, founder and CEO of NVIDIA. “SK hynix has been an extraordinary partner to NVIDIA, playing a central role in delivering advanced memory technologies for NVIDIA AI computing platforms. Together, we will codevelop the next generation of memory for AI factories and support the accelerating global expansion of AI infrastructure — from frontier model training to agentic and physical AI.”

SK Hynix will be leveraging NVIDIA's CUDA-X libraries to speed up semiconductor simulation, to assist with manufacturing and production. The DRAM maker will also develop fab digital twins as a foundation for its autonomous fab operations.

NVIDIA has been pushing Korean firms such as SK Hynix to ramp up their memory production and has been placing massive orders. Meanwhile, SK Hynix is already supplying NVIDIA with its bleeding-edge HBM4 & SOCAMM2 technologies for Vera Rubin while also working towards HBM4E for Rubin Ultra.

Hassan Mujtaba Photo

About the author: A Software Engineer by training and a PC enthusiast by passion, Hassan Mujtaba serves as Wccftech's Senior Editor for hardware section. With years of experience in the industry, he specializes in deep-dive technical analysis of next-generation CPU and GPU architectures, motherboards, and cooling solutions. His work involves not only breaking news on upcoming technologies but also extensive hands-on reviews and benchmarking.

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