As AI adoption accelerates worldwide, data centers are experiencing explosive growth in computational workloads. With the shift from large-scale model training to continuous inference, the challenge is no longer just about performance - energy efficiency has become equally critical to sustaining next-generation AI infrastructure. This transition is fueling demand for low-power memory solutions capable of supporting continuous AI workloads while optimizing power consumption.

In line with this trend, Samsung has developed SOCAMM2 (Small Outline Compression Attached Memory Module) - an LPDDR-based server memory module designed for AI data centers, with customer samples already being supplied. By combining the strengths of LPDDR technology with a modular, detachable design, SOCAMM2 delivers higher bandwidth, improved power efficiency, and flexible system integration, enabling AI servers to achieve greater efficiency and scalability.