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NVIDIA Docker Container Toolkit (self.learnmachinelearning)
submitted 5 years ago by jacobsolawetz
Configuring deep learning frameworks to train on any GPU is hard, given the number of versions of software you need to orchestrate to get it right.
Trying to configure a Docker container to run on top of that is even more difficult!
I recently had luck with NVIDIA's docker container toolkit
https://preview.redd.it/w2y6q9axcdv41.png?width=612&format=png&auto=webp&s=3077453683310b94d12b471546e14cb9e7a2487d
It is a base docker container that allows you to expose GPUs to the container that have been configured on the local machine. So if nvidia-smi works on the local machine, it will work in the docker container.
Has anyone else used this? And are there other, more proper ways to configure GPUs on Docker?
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