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T∗=2τ/λT^{*} = \sqrt{2\tau/\lambda}

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Minimizing over T gives an optimal interval T∗T^{*} = 2τ/λ\sqrt{2\tau/\lambda} : the checkpoint interval should shrink as the inverse square root of the fleet failure rate, not linearly with it, so frequency rises roughly as N\sqrt{N} purely from the failure-rate side as accelerator count N grows. Comparing that to MLPerf’s own reported tightening — interval falling from 9.3 to 1.5 minutes, a 6.2-times increase in frequency, as scale rises 6.25-times from 16,000 to 100,000 accelerators — the real tightening is close to linear in scale, noticeably steeper than the N\sqrt{N} this simple model predicts. That gap is informative rather than a contradiction: it is consistent with operators holding a fixed…

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T∗=2τ/λT^{*} = \sqrt{2\tau/\lambda}

Equation 14 · Datacenters

AI Datacenter Systems Engineering in 2035: Scenarios, Signals, and Falsifiable Predictions

This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.

Minimizing over T gives an optimal interval T∗T^{*} = 2τ/λ\sqrt{2\tau/\lambda} : the checkpoint interval should shrink as the inverse square root of the fleet failure rate, not linearly with it, so frequency rises roughly as N\sqrt{N} purely from the failure-rate side as accelerator count N grows. Comparing that to MLPerf’s own reported tightening — interval falling from 9.3 to 1.5 minutes, a 6.2-times increase in frequency, as scale rises 6.25-times from 16,000 to 100,000 accelerators — the real tightening is close to linear in scale, noticeably steeper than the N\sqrt{N} this simple model predicts. That gap is informative rather than a contradiction: it is consistent with operators holding a fixed…

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