Micron Is Developing Edge Inference Memory Dedicated to Physical AI

At SEDEX 2026, the Korean Semiconductor Exhibition held at COEX in Seoul, Micron Technology Vice President Cheol Lee revealed that the company is advancing research and development of Edge Inference Memory (EIM) for physical AI; mass production of this product is expected to begin in the second half of 2028. To meet urgent demand for low-power DRAM in fields such as autonomous driving and humanoid robots, Micron is exploring integration of EIM into LPDDR6 and has already initiated in-depth discussions with key customers on this topic. According to the Science and Technology Innovation Board Daily, EIM is deployed between AI chips and memory; its technical approach stacks LPDDR directly atop logic chips to enable high-speed processing of inference data—though specific details of the current computing architecture remain undisclosed. Lee noted that AI models currently used in robots contain approximately 1–2 billion parameters, imposing relatively modest bandwidth pressure; however, as more advanced vision-language models are gradually deployed, traditional LPDDR alone will no longer suffice to meet their bandwidth requirements.