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In the domain of AI silicon, raw performance specifications convey only a portion of the overall picture. Marketing materials frequently emphasize headline figures like trillions of operations per second, tensor throughput, matrix dimensions, and accelerator density. However, engineers constructing these systems recognize a more complex reality: computational performance is only meaningful when da