But, for all my projects, both work and personal, I use Homebrew for managing non-Python dependencies and pip for Python-dependencies. In this short post, I will show you how to get TensorFlow up and running with GPU support on your Apple Silicon Mac without installing Miniforge or anything else related to Conda!įirst a quick bit of background. If you are like me and already have a setup for running virtual environments that does not involve Conda, and you’d like to keep it that way, Apple’s instructions are not very helpful. Unfortunately, Apple’s installation instructions are not very clear, and they expect you to use a mix of conda and pip. With the release of Apple Silicon Macs, we finally have a way to (easily) install and run TensorFlow with GPU support on macOS. TLDR Run brew install hdf5, then pip install tensorflow-macos and finally pip install tensorflow-metal. TensorFlow with GPU support on Apple Silicon Mac with Homebrew and without Conda / Miniforge
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