How does GPU usage work in PyTorch?

Updated May 17, 2026

Short answer

PyTorch uses CUDA to run tensors on GPU.

Deep explanation

Tensors and models must be explicitly moved to GPU using .to(device).

Real-world example

Used to accelerate deep learning training.

Common mistakes

Mixing CPU and GPU tensors.

Follow-up questions

What is CUDA?
Why is GPU faster?

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