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I wanted to share how I was able to install tensorflow-macos and tensorflow-metal with non-M1 Hardware. Installing it on my M1 Mac Mini was straight forward with miniforge, but ran into issues with installation on my non-M1 device. (Also with miniforge) Config: MacOS 11.3 Beta Radeon Vega Frontier There's a workaround to installing from pip since it enforces platform checks. Download the whl files for tensorflow-macos and tensorflow-metal locally https://pypi.org/project/tensorflow-macos/#files https://pypi.org/project/tensorflow-metal/#files Rename the wheels: tensorflow_macos-2.5.0-cp38-cp38-macosx_11_0_x86_64.whl -> tensorflow_macos-2.5.0-cp38-cp38-macosx_10_11_x86_64.whl tensorflow_metal-0.1.1-cp38-cp38-macosx_11_0_x86_64.whl -> tensorflow_metal-0.1.1-cp38-cp38-macosx_10_11_x86_64.whl Run pip install /path/to/tensorflow_macos-2.5.0-cp38-cp38-macosx_10_11_x86_64.whl && pip install /path/to/tensorflow_metal-0.1.1-cp38-cp38-macosx_10_11_x86_64.whl Check whether GPU is detected: python3 -c "import tensorflow as tf; physical_devices = tf.config.list_physical_devices('GPU'); print('Num GPUs:', len(physical_devices)); print(physical_devices)" # > Init Plugin # > Init Graph Optimizer # > Init Kernel # > Num GPUs: 1 # > [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')] Hopefully this helps someone! I'm super stoked to finally get GPU support on MacOS