Checkpointing

February 23, 2026

Maximizing VRAM: Gradient Checkpointing Memory Savings Guide

Out-of-memory errors are the primary bottleneck for scaling deep learning models beyond a few billion parameters. Gradient checkpointing offers a strategic trade-off, allowing engineers to train massive architectures on existing hardware by recalculating activations on the fly.