Virtual Environments with CPU and GPU Support

Ioannis Polymenis
CodeX
Published in
5 min readApr 11, 2022

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Photo by 卡晨 on Unsplash

Anaconda configuration for CPU and GPU

Deploying a Machine Learning and Deep Learning project is not always straight forward particularly when we need to run the model in the GPU if there is one in our machine. First of all, we need to have a GPU that supports the CUDA library. The list of the CUDA supported GPUs can be found here. The next step is to specify…

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Ioannis Polymenis
CodeX
Writer for

PhD student in Machine Learning. Passionate about machine learning, programming and software tinkering. Find me on https://www.ipolymenis.xyz/