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Answer Posted / Prachi Chaudhary
The amount of GPU memory needed for deep learning depends on the complexity of the models you are training. For smaller projects or simple models, 4GB of GPU memory is sufficient. However, for larger models or complex tasks, such as training large datasets with high-resolution images or advanced language models, more than 8GB or even up to 16GB or higher may be necessary.
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