As artificial intelligence adoption accelerates globally, data centers are facing a surge in computational workloads driven by the shift from large-scale model training to continuous AI inference. This evolution has elevated energy efficiency to a critical priority alongside performance, spurring demand for low-power memory solutions capable of sustaining always-on AI workloads while reducing power consumption.
Responding to this need, Samsung Electronics has developed SOCAMM2 Small Outline Compression Attached Memory Module, an LPDDR-based server memory module designed specifically for AI data centers. The company has already begun supplying customer samples, signaling readiness for real-world deployment. SOCAMM2 combines the low-power advantages of LPDDR technology with a modular, detachable design, delivering higher bandwidth, improved energy efficiency, and flexible system integration for next-generation AI servers.
Built on Samsung's latest LPDDR5X DRAM, SOCAMM2 expands the role of memory in data-center environments by bridging the gap between traditional DDR-based server modules and the demands of AI-accelerated systems. While RDIMM modules remain central to general-purpose servers, SOCAMM2 offers a complementary alternative optimized for AI workloads that require fast responsiveness and lower power consumption. According to Samsung, SOCAMM2 delivers more than twice the bandwidth of conventional RDIMM while consuming over 55 percent less power, maintaining stable performance under intensive AI inference operations.
