Architecting memory and storage in the AI era
Hardware architects are increasingly prioritizing memory bandwidth and storage speed to meet the heavy data demands of AI inference. As real-time processing becomes essential for applications in medicine and customer service, the industry is shifting away from traditional designs to overcome performance bottlenecks caused by data movement between components.
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- MMIT Technology Review↗MIT Technology Review InsightsSep 4