PyTorch Explained (2025): Concepts, Use Cases, Build & Deploy

### Eliminate Data Loading Bottlenecks Believe it or not, one of the most common performance killers isn’t the model itself—it’s the data pipeline feeding it. If your GPU is just sitting there, twiddling its thumbs while it waits for the CPU to serve up the next batch of data, you’re throwing away precious compute cycles. This is exactly why PyTorch’s DataLoader is so critical.