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Equation 13 · Part 4 · What an AI Accelerator Actually Is: Silicon, Packaging, and the Memory It Can Reach

Symbol I

Pattainable=min⁡(Pmax⁡,  β⋅I).P_{\mathrm{attainable}} = \min\left(P_{\max},\; \beta \cdot I\right).
II

What this part means

I appears in the objective or constraint used by the optimization on the right.

Its job in the formula

I appears in the objective or constraint used by the optimization on the right.

The passage around this formula

with W operations and Q bytes. Let Pmax⁡P_{\max} be the machine’s peak arithmetic rate and β\beta its achievable memory bandwidth. Then attainable performance is bounded by Pattainable=min⁡(Pmax⁡,  β⋅I)P_{\mathrm{attainable}} = \min\left(P_{\max},\; \beta \cdot I\right). That expression is the whole model, and it has one structural feature that matters more than the rest. The two bounds cross at a ridge point

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A variable is a named place for a value. Its letter is a local label: x can mean position in one formula and a data point in another.

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Sources cited in the article section

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