Comment by michaelchicory

Savanna works in the same way as Nix: each training stage is defined fully in code, so it computes a hash over all inputs (training image, code version, environment, training configuration, etc.) and maps this to the eventual output. When the same inputs come along again, Savanna just reads the output from cache. As the post mentions, this is particularly helpful in sweeps that span multiple training stages.