What's the difference between using TensorFlow on a GPU versus a CPU?
Using TensorFlow on a GPU can significantly speed up training times for deep learning models compared to a CPU.
What types of tasks benefit the most from GPU acceleration?
Tasks like image processing, natural language processing, and large-scale data analysis benefit greatly from GPU acceleration.
Are there any downsides to using a GPU?
Yes, GPUs can be more expensive, and not all models or tasks will see a performance boost. It's important to evaluate your specific needs.
How do I set up TensorFlow to use my GPU?
You need to install the appropriate NVIDIA drivers, CUDA, and cuDNN, then configure TensorFlow to recognize the GPU.
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