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Which is the difference between 'multi-gpu' and 'parallel-gpu' in 'trainingOption' function of the DeepLearning Toolbox?

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Hi everyone,
I have two NVIDIA RTX 3060 installed on my local computer and I want to train a neural network in parallel on both GPUs. I am worried about which is the best strategy between 'multi-gpu' and 'parallel-gpu'. Does anyone know how they work and which is the difference between 'multi-gpu' and 'parallel-gpu'?
Thank you.

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Matt J
Matt J 2024 年 5 月 22 日 17:36
編集済み: Matt J 2024 年 5 月 22 日 17:37
According to the doc, 'parallel-gpu' has the additional capability of being able to use remote GPUs. Since that doesn't apply to the hardware environment you describe, you can probably use either one.

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