3/11/2023 0 Comments Upgrade docker for macSo, in short, yes, Mac users can run TensorFlow with a GPU using Docker. From here, you can then run any TensorFlow commands or scripts that you want. Once you have the TensorFlow Docker image pulled, you can then run it on your Mac using the following command: docker run -it –rm –runtime= nvidia tensorflow/tensorflow:latest-gpu This will launch a TensorFlow container with a GPU and give you a command prompt inside the container. Once you have the CUDA drivers installed, you can then pull the TensorFlow Docker image from the official TensorFlow Docker Hub repository. So, if you are using a Mac with an NVIDIA GPU, you will need to download and install the CUDA drivers for your specific GPU. First, it is important to note that TensorFlow will only work with GPUs that have a CUDA-capable driver. However, there are a few things to keep in mind. The answer is yes, Mac users can run Docker containers that have TensorFlow installed with a GPU. Can mac docker run tensorflow gpu? This is a question that many Mac users who are interested in using Docker for machine learning and data science may have.
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