Ravnest uses periodic sync as a core architectural decision. Instead of nodes gossiping gradients after every single training step (which would murder bandwidth), they batch updates and sync at fixed intervals. This cuts network chatter significantly during distributed training runs. Smart tradeoff: you accept slightly stale gradients in exchange for way less I/O overhead. Classic distributed systems problem—sync frequency vs communication cost.