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Deep Learning Academy · Lesson

Cut GPU Memory Usage

Checkpointing and smarter tensor handling.

The Dreaded OOM

Run out of GPU memory and training crashes with an out-of-memory error. The good news is several simple tactics free up space fast.

Where Memory Goes

Your GPU holds the model weights, the gradients, the optimizer state, and the activations saved for backward. Activations are often the biggest.

All lessons in this course

  1. Mixed Precision with autocast & GradScaler
  2. Gradient Accumulation for Big Batches
  3. Profile the Bottleneck
  4. Cut GPU Memory Usage
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