Micron announced it has sampled 256GB DDR5 registered dual in-line memory modules (RDIMM) to key server ecosystem enablers. The module is built on the company’s leading-edge 1-gamma technology, which is capable of speeds up to 9,200 megatransfers per second (MT/s), greater than 40% faster than modules in volume production today. Micron’s module employs advanced packaging techniques, 3D stacking (3DS) multiple memory dies connected by through-silicon vias (TSVs).
Combined with Micron’s 1-gamma DRAM, these innovations provide the capacity, speed and power efficiency required to scale next-generation AI systems. A single 256GB module can reduce operating power by more than 40% versus two 128GB modules, enabling greater efficiency for modern AI data centers.
Ecosystem partner validation
Micron is collaborating with key ecosystem enablers to validate the 256GB 1-gamma DDR5 RDIMM across their respective current and next-generation server platforms. This co-validation ensures broad platform compatibility and accelerates the path to production deployment for data center customers building AI and HPC infrastructure at scale.
“Capacity, bandwidth, and power are the defining drivers of AI efficiency. With our 256GB DDR5 RDIMM, Micron is enabling servers to deliver significantly higher performance,” said Raj Narasimhan, senior vice president and general manager of the Cloud Memory Business Unit at Micron. “Built on our 1-gamma DRAM using advanced 3DS and TSV packaging, this solution delivers industry-leading speed and power efficiency, helping data center architects scale AI infrastructure more efficiently.”
Meeting the memory demands of the AI era
The rapid proliferation of large language models (LLMs), agentic AI, real-time inference and high-core-count CPU workloads is driving an urgent need for greater enterprise server memory capacity, higher bandwidth and improved power efficiency. Micron’s 256GB DDR5 RDIMM addresses these growing requirements head-on, enabling server architects, hyperscale operators and platform partners to maximize memory capacity per socket while operating within the thermal and power boundaries of modern data center infrastructure.
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