Micron Develops Edge Inference Memory for Physical AI Latency

1 reports archived1 independent sourcesupdated 10/18/2026, 07:26:38

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Micron is developing Edge Inference Memory (EIM), a specialized storage chip for autonomous driving and humanoid robots that stacks low-power memory to reduce latency and boost bandwidth. Distinct from Processing-in-Memory (PIM), EIM aims to integrate with LPDDR6 by late 2028 to meet the growing demands of physical AI systems.

LATEST/Micron is developing Edge Inference Memory (EIM), a specialized storage chip for autonomous driving and humanoid robots that stacks low-power memory to reduce latency and boost bandwidth. Distinct from Processing-in-Memory (PIM), EIM aims to integrate with LPDDR6 by late 2028 to meet the growing demands of physical AI systems.

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IT之家 · 智能时代T2·Oct 18, 07:2668 pts
Micron Develops Edge Inference Memory for Physical AI Latency
- EIM uses vertically stacked LPDDR on logic chips, distinct from PIM which computes inside memory.
- Aims to solve latency and bandwidth bottlenecks in Physical AI like humanoid robots, with mass production expected in 2028.
- Robot memory will evolve from LPDDR to HBM as VLMs are adopted, requiring up to 200GB DRAM.
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