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β⋅I\beta \cdot I

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Bandwidth-limited throughput is the regime where achieved FLOPS is irrelevant because β\beta ⋅\cdot I is the binding term. Autoregressive decoding in a served language model is the clearest case: generating a single token requires streaming the model weights and the accumulated key-value cache out of memory, and performs only a small number of operations per byte read. The time per decoding step obeys

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β\beta

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β⋅I\beta \cdot I

Equation 23 · AI Hardware & Semiconductors

What an AI Accelerator Actually Is: Silicon, Packaging, and the Memory It Can Reach

This mathematical expression combines the displayed quantities; its precise role follows from the surrounding article text.

Bandwidth-limited throughput is the regime where achieved FLOPS is irrelevant because β\beta ⋅\cdot I is the binding term. Autoregressive decoding in a served language model is the clearest case: generating a single token requires streaming the model weights and the accumulated key-value cache out of memory, and performs only a small number of operations per byte read. The time per decoding step obeys

Meanings in this article

  • II: the binding term.
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