ML for infrastructure forecasting

A Bi-LSTM in the Kubernetes controller buys ten minutes against a thirty-minute node build

One team's postmortem has GPU nodes landing 45 minutes after the spike began. Their new forecast reaches only ten minutes out, which is why the design also holds the fleet at 70 percent utilization and pays for idle accelerators.