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Unlike many papers that focus only on software, this review bridges the gap, showing how hardware topology (the physical layout of the chip) must evolve alongside model topology (the structure of the AI). Metrics-Driven: It provides actionable data on energy efficiency (TOPS/W) Standing at the top of 124, Elias didn't
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Traditional "powerhouse" platforms. While GPUs remain the gold standard for training due to their massive parallel processing, the review notes their high energy consumption as a major drawback. NPUs (Neural Processing Units):

