GPU vs CPU for Machine Learning: Which is Better?

What are the main differences between GPUs and CPUs for machine learning?

GPUs are designed for parallel processing, making them faster for training models, while CPUs are better for general tasks.

When should I use a GPU instead of a CPU?

Use a GPU when training large models or working with big datasets, as they significantly speed up the process.

Are there any specific machine learning tasks that are better suited for CPUs?

Yes, tasks that require complex logic or are not parallelizable, like certain data preprocessing, are better on CPUs.

What about cost-effectiveness? Are GPUs worth the investment?

GPUs can be more expensive, but they often provide better performance for machine learning tasks, making them worth it for heavy workloads.