Create

Sign in to ReadmeX

or

How we handle your data: Privacy Policy

ReadmeX

Your AI reading companion

What would you like to catch up on?

Pick a briefing, or ask your own question.

Your community and people briefings stay personal to you.

Story

Micron develops Edge Inference Memory for physical AI

AI summary

According to The Elec, Micron executive Lee Cheol said at the SEDEX 2026 forum on semiconductors for humanoid robots in Seoul that Micron is working with major customers on memory for physical AI, targeting humanoid robots, autonomous driving and AR/VR devices. The product, Edge Inference Memory (EIM), stacks low-power LPDDR vertically on a logic die to reduce data-transfer latency and raise bandwidth between AI processors and memory; Micron has not disclosed performance targets but is working to integrate EIM into LPDDR6. The company says humanoid robots currently run roughly 1B–2B parameter models that LPDDR can still serve, but expects a move toward HBM as vision-language models grow, while industry estimates put EIM mass production in the second half of 2028 — a timeline Wccftech rates as a roughly 55% plausible rumor.

In-depth insight

Micron's executive said existing DRAM and storage architectures can no longer meet physical AI's demands, and that the company is coordinating with robot makers, chip designers and hyperscalers from early chip system design.

#Micron#Edge Inference Memory (EIM)#LPDDR6#HBM#SEDEX 2026

Original · 5 min readRead the original
Group chat

No comments yet. Start the conversation.