I found the Lenovo ThinkPad to rule them all - and its modular RAM changes everything
Worst PictureThe Electric State，详情可参考迅雷下载
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The concept is simple. For a model with $N$ layers, I define a configuration $(i, j)$. The model processes layers $0$ to $j{-}1$ as normal, then loops back and reuses layers $i$ through $j{-}1$ again, and then the rest to $N{-}1$. The layers between $i$ and $j{-}1$ get duplicated in the execution path. No weights are changed. The model just traverses some of its own layers twice.
FeatureDatadog / SplunkLogClawAnnual Cost (500GB/day)Splunk: $1.2M · Datadog: $509K (license + infra + 3 FTEs)