Micron Unveils 256GB LPDDR5X-7500 Module for AI Data Centers as 2026 Supply Is Fully Accounted For
Updated
Updated · morethanmoore.substack.com · Jun 30
Micron Unveils 256GB LPDDR5X-7500 Module for AI Data Centers as 2026 Supply Is Fully Accounted For
1 articles · Updated · morethanmoore.substack.com · Jun 30
Summary
256GB LPDDR5X-7500 is Micron’s new low-power DRAM module for AI data centers, which the company says is the highest-capacity LPDDR module yet built.
Eight modules can deliver 2TB per CPU and 16TB across an eight-CPU system, targeting AI workloads where HBM handles bandwidth while LPDDR capacity stores offloaded data such as KV cache.
Micron said its SOCAMM portfolio now spans 48Gb to 2Tb and 7,500 MT/s to 9,600 MT/s, reflecting a broader push to tailor memory for either maximum capacity or maximum bandwidth.
AI demand is also reshaping Micron’s wider roadmap: the company said 2026 output is already spoken for, while it expands capacity through projects in the US, India, Singapore and Japan.
The company framed the launch as part of a larger shift in which memory is moving up the AI infrastructure value stack, alongside HBM4, custom HBM and PCIe Gen 6 SSDs.
Will AI breakthroughs burst the memory 'supercycle,' stranding billions in new fab investments?
Is offloading AI's memory to SSDs a long-term solution or just a temporary patch?
Can America's power grid handle the dual surge from new AI data centers and massive chip fabs?
AI Memory Crisis 2026: Micron’s 256GB LPDDR5X Sets New Standard Amid Global Shortage and Market Upheaval
Overview
Micron Technology has set a new standard in AI memory with its 256GB LPDRAM SOCAMM2, launched in June 2026. Engineered for advanced AI and data center use, this module is built on the industry's first monolithic 32Gb LPDDR5X die. It delivers major improvements in both performance and power efficiency, achieving a one-third reduction in power consumption and a smaller footprint compared to standard RDIMMs. These gains are crucial for scaling data centers, enabling significant growth without a matching rise in energy use or space, and supporting faster, more efficient AI workloads.