SK hynix Starts Mass Production of 192GB SOCAMM2 Memory for AI Servers

Apr 21, 2026
SK hynix has begun mass production of its 192GB SOCAMM2 memory module, designed for NVIDIA’s Vera Rubin platform. The module uses 1cnm process LPDDR5X DRAM and delivers over twice the bandwidth and 75% better power efficiency than conventional RDIMM modules.
SK hynix Starts Mass Production of 192GB SOCAMM2 Memory for AI Servers

SK hynix has begun mass production of its 192GB SOCAMM2 memory module, announced in a press release. The module is built using the company’s 1cnm process LPDDR5X DRAM and is designed for use with the NVIDIA Vera Rubin platform.

SOCAMM2 adapts low power memory, typically used in mobile devices, for server environments. It serves as a primary memory solution for AI servers. The company stated that the new product provides more than double the bandwidth and over 75 percent improved power efficiency compared to conventional RDIMM modules.

SK hynix said the SOCAMM2 is optimized to handle large language model training and inference tasks, addressing memory bottlenecks that occur in high performance AI systems. The company has stabilized its production system to meet demand from global cloud service providers.

Justin Kim, President and Head of AI Infra at SK hynix, said the company aims to strengthen its position as a trusted supplier of AI memory solutions through continued collaboration with global AI customers.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Silicon Brief or Daily AI Brief.

Also, consider following us on social media:

AI Chips & Datacenters AI Brief AI Brief (X)
Free newsletter

Silicon Brief

Weekly coverage of AI hardware developments including chips, GPUs, cloud platforms, and data center technology.

AI Token Webinar

Industry analysis

2025 Global Business Services Agenda: Gen AI Takes Center Stage

The Hackett Group

This industry analysis by The Hackett Group explores the transformative impact of generative artificial intelligence (Gen AI) on global business services (GBS) in 2025. The study highlights the shift from exploration to acceleration of Gen AI initiatives, with 89% of executives advancing these projects to improve customer satisfaction, innovate products, and reduce costs. The report also discusses the challenges and strategies for successful Gen AI adoption, emphasizing the need for a technology-enabled operating model and the importance of reskilling the workforce.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.