Which is the difference between ‘multi-gpu’ and ‘parallel-gpu’ in ‘trainingOption’ function of the DeepLearning Toolbox?
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.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. 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. multi-gpu, parallel-gpu, training options, deep learning MATLAB Answers — New Questions