AI Algorithm Path

Mar 16, 2025 · Artificial Intelligence

How to Train PyTorch Models Using Far Less GPU Memory

This article walks through a suite of PyTorch techniques—including automatic mixed precision, BF16, gradient checkpointing, gradient accumulation, tensor sharding, efficient data loading, in‑place ops, lightweight optimizers, memory profiling, TorchScript, and kernel fusion—that together can cut peak GPU memory usage by up to twenty‑fold while preserving model accuracy.