NVIDIA and SK hynix Announce Multiyear Technology Partnership to Advance Memory for AI Factories
🤝 NVIDIA and SK hynix partner for next-gen AI memory supply.
💾 Joint development targets Vera Rubin, RTX Spark, and Jetson Thor.
⚙️ Collaboration accelerates chip design, simulations, and autonomous fab operations.
🤝 NVIDIA and SK hynix have announced a multiyear technology partnership focused on advancing next-generation memory for AI factories.
🧠 The agreement supports supply for advanced memory to address extended development cycles and sustain the global buildout of AI infrastructure.
🚀 SK hynix will diversify into new markets including AI infrastructure, personal AI, and physical AI through this collaboration.
💾 Partners will codevelop memory specifically for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic platforms.
🧬 Both companies will apply AI to semiconductor chip design and manufacturing using NVIDIA CUDA-X libraries and PhysicsNeMo frameworks.
⚙️ SK hynix will accelerate semiconductor simulations, TCAD workflows, and in-house engineering codes through these AI-driven tools.
🏭 The partnership aims to advance factory digital twins by combining NVIDIA Omniverse, OpenUSD scene optimization, and cuOpt for autonomous fab operations.
🤖 Digital twins will support operational optimization including the movement of autonomous mobile robots and other fab assets using GPU-accelerated decision engines.
🔗 Companies are exploring ways to connect digital twins with existing legacy software and agentic AI workflows for improved manufacturing decisions.
🗣️ Jensen Huang, CEO of NVIDIA, stated that advanced memory is essential for the performance of AI factories and the next industrial revolution.
🗣️ Chey Tae-won, Chairman of SK Group, noted that the partnership reflects years of deep co-engineering collaboration between the two companies.
📈 The strategic partnership enables memory supply to keep pace with NVIDIA's infrastructure roadmap as AI factories scale globally.
🌐 SK hynix is the world's top-tier semiconductor supplier offering DRAM and NAND flash chips for a wide range of global customers.
🏢 NVIDIA is the world leader in AI and accelerated computing, headquartered in California with shares traded on NASDAQ under the ticker NVDA.
⚠️ The press release includes forward-looking statements regarding growth, performance, availability, and benefits of products and technologies subject to risks.
- NVIDIA and SK hynix partner for next-gen AI memory.
- Agreement supports advanced memory supply for global AI factories.
- SK hynix co-develops memory for NVIDIA Vera Rubin and RTX Spark.
- Partnership accelerates semiconductor design using NVIDIA CUDA-X libraries.
- SK hynix advances autonomous fabs with NVIDIA Omniverse digital twins.
- Partnership implies substantial financial outlays and extended development cycles.
- SK hynix diversification may dilute focus from core businesses.
- Joint development failure introduces dependency risks on performance and timelines.
- Growth statements face risks from economy, manufacturing, competition, and defects.
- NVIDIA and SK hynix have announced a multiyear technology partnership to advance next-generation memory for the global AI factory buildout.
- The agreement supports supply for advanced memory, addressing extended development cycles and sustaining the global buildout of AI factories.
- SK hynix will codevelop memory for NVIDIA Vera Rubin AI supercomputers, Vera CPUs, RTX Spark-powered PCs, and Jetson Thor robotic computing platforms.
- SK hynix will apply AI to semiconductor chip design and manufacturing using NVIDIA CUDA-X libraries and NVIDIA PhysicsNeMo to accelerate simulations and engineering codes.
- SK hynix is advancing factory digital twins by combining NVIDIA Omniverse and OpenUSD to drive fully autonomous fab operations.
- The partnership reflects years of deep co-engineering collaboration that has powered some of the world's most advanced AI computing platforms.
- This strategic partnership enables memory supply to keep pace with NVIDIA's infrastructure roadmap and the accelerating global expansion of AI infrastructure.
- SK hynix is using NVIDIA CUDA-X libraries and AI to speed semiconductor simulation, including technology computer-aided design and computational lithography workflows.
- The initiative paves the way for three-way collaborations among chipmakers, NVIDIA, and electronic design automation software vendors.
- SK hynix is developing fab digital twins as a foundation for autonomous fab operations using GPU-accelerated NVIDIA cuOpt decision optimization engine.
- The partnership is explicitly designed to address 'extended development cycles' and the need for 'significant capital investments,' implying that sustaining the global AI factory buildout requires substantial financial outlays and time.
- SK hynix will diversify into new markets created by NVIDIA, which may dilute its focus or resources from existing core businesses as it attempts to codevelop memory for upcoming platforms like Vera Rubin and Jetson Thor.
- The agreement relies on 'deep co-engineering' and future collaboration to deliver advanced memory technologies, introducing dependency risks if the joint development efforts fail to meet performance or timeline expectations.
- Forward-looking statements regarding growth, performance, availability, and benefits of NVIDIA's products are subject to significant risks including global economic conditions, reliance on third-party manufacturing, technological competition, and potential design or manufacturing defects.