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Equation 10 · Comparing the Main Approaches to AI Inference Economics

What does this equation mean?

Pr<u⋅Pd,i.e.u>PrPd≡u∗.P_r < u \cdot P_d, \qquad \text{i.e.} \qquad u > \frac{P_r}{P_d} \equiv u^{*}.

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This equation states a bound: one expression must stay on the indicated side of the other under the article’s assumptions. Read the equation part by part below; each part has a contextual explanation and a link to its mathematical background.

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PrP_r

Symbol P_r

PrP_r occurs above the fraction bar. The numerator is divided by the entire denominator below it.

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uu

Symbol u

u is a part of this expression. Its role is fixed by the surrounding article and by the operations shown in the formula.

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PdP_d

Symbol P_d

PdP_d occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.

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u∗u^{*}

Symbol u^*

the below the break-even utilization.

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fraction

fraction

Divide the expression above the line by the one below it.

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multiplication

multiplication

Multiply the quantities on either side.

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subscript

subscript

The lower label selects a particular version, component, or indexed member of the quantity. For example, x₀ and xₜ can be values at different positions.

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superscript

superscript

A raised number can be a power. When it is a label or bound, it selects a case or the upper limit of a sum; the formula’s structure distinguishes these uses.

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How to interpret it

With a fixed numerator, increasing a nonzero denominator reduces the fraction.

What the article says around this equation

Here the break-even arithmetic is genuinely simple, and worth writing down, because it is the one place in this comparison where a clean model — not a ranking of vendors — is possible. Let a reserved commitment cost PrP_r per accelerator-hour, and let the on-demand or serverless rate that would otherwise serve the same throughput cost PdP_d per accelerator-hour at full utilization. If the buyer’s realized utilization of the reserved capacity is u ∈\in (0, 1] , the reserved option is cheaper exactly when Pr<u⋅Pd,i.e.u>PrPd≡u∗P_r < u \cdot P_d, \qquad \text{i.e.} \qquad u > \frac{P_r}{P_d} \equiv u^{*}. Below the break-even utilization u∗u^{*} , paying on demand only for the hours actually used is cheaper than holding a reservation that sits partly idle; above it, the…
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Here the break-even arithmetic is genuinely simple, and worth writing down, because it is the one place in this comparison where a clean model — not a ranking of vendors — is possible. Let a reserved commitment cost PrP_r per accelerator-hour, and let the on-demand or serverless rate that would otherwise serve the same throughput cost PdP_d per accelerator-hour at full utilization. If the buyer’s realized utilization of the reserved capacity is u ∈\in (0, 1] , the reserved option is cheaper exactly when Pr<u⋅Pd,i.e.u>PrPd≡u∗P_r < u \cdot P_d, \qquad \text{i.e.} \qquad u > \frac{P_r}{P_d} \equiv u^{*}. Below the break-even utilization u∗u^{*} , paying on demand only for the hours actually used is cheaper than holding a reservation that sits partly idle; above it, the reservation wins. What no published rate card can supply is u itself — a property of the buyer’s own traffic, not of any vendor’s pricing page — which is exactly why “is reserved capacity worth it” has no answer that holds across buyers, only a formula that turns a buyer’s own utilization forecast into one.

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