The fusion of memory and processing eliminates data bottlenecks by handling computations directly within storage hardware. Used in AI, big data, and edge devices, this architecture accelerates machine learning and real-time analytics. Data scientists, engineers, and cloud providers benefit from drastically reduced latency and energy consumption, enabling faster insights and scalable, efficient systems.
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