Equation 4 · Part 5 · AI Datacenter Systems Engineering in 2035: Scenarios, Signals, and Falsifiable Predictions

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\mathrm{MTTF}_{\mathrm{fleet}} \approx \frac{1}{N\lambda} = \frac{\mathrm{MTTF}_{\mathrm{device}}}{N}.

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What this part means

Approximately equal to; the equality is not exact.

Its job in the formula

Approximately equal to; the equality is not exact.

Full expression≈Article meaning

The passage around this formula

Analysis. The following is my own structural analysis, not drawn from any single cited source. If a fleet of N identical devices each fails independently at rate $\lambda$ , the fleet-wide failure rate is N $\lambda$ , so $\mathrm{MTTF}_{\mathrm{fleet}} \approx \frac{1}{N\lambda} = \frac{\mathrm{MTTF}_{\mathrm{device}}}{N}$ . That relation is what licenses treating fleet-scale failure as a continuous background rate rather than a sequence of independent surprises, and it is the same move Meta’s reliability study makes in fitting a model to project Mean Time to Failure across GPU scales [ 3 ] . But it depends entirely on independence, and the sources above describe two ways that assumption breaks. First, correlated failure: a batch sharing a manufacturing defect or an upstream…

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Sources cited in the surrounding passage

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