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Jun 7, 2026 · Artificial Intelligence

PyTorch GPU Memory Profiling: Checkpointing, Mixed Precision, Optimizer Choice

The article explains the seven sources of GPU memory usage during PyTorch training, shows how to measure them with built‑in profiling APIs and the memory‑viz tool, and evaluates three effective optimizations—gradient checkpointing, mixed‑precision training, and optimizer selection—detailing their memory savings and performance costs.

GPU memoryPyTorchgradient checkpointing
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PyTorch GPU Memory Profiling: Checkpointing, Mixed Precision, Optimizer Choice