What are the best practices for training models on GPUs?
To optimize GPU training, consider using mixed precision, efficient data loading, and proper batch sizes.
How does mixed precision training help with performance?
Mixed precision training reduces memory usage and speeds up computation by using both 16-bit and 32-bit floats.
What batch size should I use for my model?
The optimal batch size depends on your GPU memory; start with a size that fits comfortably and adjust based on performance.
Can you explain efficient data loading?
Efficient data loading involves preloading data into memory and using parallel data loading techniques to minimize bottlenecks.
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