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Processing in Memory Aims to Reduce Data Movement Bottlenecks for AI

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Processing in memory (PIM) is a computing design that places some processing capability within or near memory chips. This approach aims to reduce the time and energy spent moving data to and from separate processors. The concept is particularly relevant for AI workloads, which frequently handle massive amounts of data. Samsung and other manufacturers are actively developing PIM technologies, including variants for high-bandwidth memory (HBM). However, widespread adoption depends on overcoming hardware design challenges and ensuring software compatibility.

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