Thanks to rapid advancements in computing, neural networks are fueling tremendous growth in AI for a broad spectrum of applications. Learn about the memory architectures, and their relative advantages, at the heart of the AI revolution.
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Rapidly evolving workloads and exploding data volumes place great pressure on data-center compute, IO, and memory performance, and especially on memory capacity. Increasing memory capacity requires a commensurate reduction in memory cost per bit. DRAM technology scaling has been steadily delivering affordable capacity increases, but DRAM scaling is rapidly reaching physical limits. Other technologies such as Flash, enhanced Flash, Phase Change Memory, and Spin Torque Transfer Magnetic RAM hold promise for creating high capacity memories at lower cost per bit. However, these technologies have attributes that require careful management.