What is Gradient Accumulation?

Gradient accumulation is a training technique that simulates larger effective batch sizes by accumulating gradients over multiple forward-backward passes before applying an optimizer step, allowing fine-tuning on hardware that cannot fit the full desired batch in memory. The platform strengthens e