Why DRAM and Flash Are Driving the Next Wave of AI and Automotive Storage
The article compares DRAM and Flash memory characteristics, explains how emerging AI and automotive applications are reshaping storage demand, and highlights China's strategic challenges in catching up with leading DRAM and NAND Flash manufacturers.
Memory Hierarchy: DRAM vs Flash
Processor cores fetch data from memory, while memory loads data from flash storage. DRAM is volatile, storing bits in capacitors and requiring periodic refresh; it loses data when power is removed. Flash is non‑volatile, derived from ROM, and retains data after power loss.
Key differences: DRAM offers higher read/write speed, higher cost, higher power consumption, longer lifespan, and a simpler, highly integrated structure. Flash provides larger capacity, lower cost, and lower power consumption, but with slower access speed.
Market Trends
Traditional downstream storage applications focused on smartphones, PCs, and servers. Since last year, consumer‑electronics demand has remained weak, while artificial‑intelligence workloads (e.g., ChatGPT) and automotive electronics are driving massive incremental storage demand. AI accelerates the need for high‑performance storage, and electric/connected vehicles require ample storage for ADAS, high‑precision maps, incident recording, and infotainment.
China’s Strategic Layout
China is establishing a strategic layout in the storage‑chip sector, but its later start and occasional technology restrictions mean domestic high‑end DRAM and NAND Flash products still lag behind Korean and U.S. leaders.
Further Technical References on NVMe and Related Technologies
http://mp.weixin.qq.com/s?__biz=MzAxNzU3NjcxOA==∣=2650744514&idx=1&sn=a835729cd73c94e7eec3f42fe4525069
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