SK hynix announced on March 17 that it will participate in GTC 2026, taking place from March 16 to 19 in San Jose, California. The company plans to unveil its full lineup of artificial intelligence (AI) memory solutions under the theme ‘Spotlight on AI Memory.’
GTC is a global conference organized by NVIDIA where business leaders and developers gather to discuss advancements and trends in AI and accelerated computing. SK hynix said its participation aims to demonstrate its competitive edge in memory technology, which it describes as the core infrastructure for the AI era.
The company’s exhibition will feature three main areas: the NVIDIA Collaboration Zone, Product Portfolio Zone, and Event Zone. In the NVIDIA Collaboration Zone, SK hynix will display memory configurations used in GPU-based AI accelerators through physical models and actual hardware. Products such as HBM4, HBM3E, and SOCAMM2 designed for NVIDIA platforms will be highlighted. The company also plans to showcase a liquid-cooled eSSD developed with NVIDIA and an NVIDIA DGX Spark desktop supercomputer equipped with SK hynix’s LPDDR5X.
In the Product Portfolio Zone, visitors can explore a range of memory products including HBM4, HBM3E, high-capacity server DRAM modules, LPDDR6, GDDR7, eSSD, and automotive solutions. Interactive displays will allow attendees to use joysticks to select products and view their features.
The Event Zone offers a hands-on experience called ‘HBM 16-High Stacking Game,’ where participants virtually stack memory chips to learn about manufacturing processes like Through Silicon Via (TSV) technology.
Key executives such as SK Chairman Chey Tae-won and SK hynix CEO Kwak Noh-jung are scheduled to attend GTC 2026. They plan to meet with global technology companies to discuss long-term strategic partnerships related to AI evolution and infrastructure shifts. Technical sessions hosted by SK hynix will address topics such as the future of AI-driven manufacturing and the role of memory technology in achieving high-performance AI.
SK hynix said that as AI technology advances, memory is becoming more than just a component—it is now seen as a core element shaping architecture and performance across all levels of AI infrastructure.
