Key Points
• AI workloads require high-speed memory
and storage to handle the vast data
necessary for processing, movement, and
retention in modern edge AI applications.
• DRAM, particularly low-power variants
like LPDDR5, is instrumental for balancing
performance and energy efficiency in
power-constrained edge AI systems.
• High-bandwidth storage interfaces, such as
PCIe and UFS, significantly enhance edge
AI performance by reducing data transfer
bottlenecks during AI model execution.
• Micron provides tailored memory and
storage solutions, including DRAM and
NAND, that address the diverse power and
performance requirements of embedded
edge AI applications.
C h a p t e r 1 | U n l o c k i n g t h e Po w e r : M e m o r y a n d S t o r a g e i n A I A p p l i c a t i o n s
LPDDR5 DRAM for Mobile Devices & AI
LPDDR4 Memory
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9
5 Experts on Addressing the Hidden Challenges of Embedding Edge AI into End Products
