I'm assuming you already have some external storage already with what you do with your computers, but make sure you have a good external SSD with good write speeds, and I'd maybe buy a thunderbolt hub to expand my connectivity. If I were in your shoes I'd sell/trade in the iMacs and get an M2 Mac Mini with 16gb RAM and a 512gb SSD that's a rockstar machine. Let me say this again: A base spec M2 Mac mini will outperform any of your current computers if you were to run side by side tests of compiling, processing audio, editing/exporting video, etc, so any RAM or SSD upgrades are just gravy on top. I can't speak to the requirements of graphic design or the type of programming you're doing, but a base spec M2 will be a noticeable upgrade in every one of your use cases compared to your current equipment. That's all you need for audio production and light video editing. The performance of the M1/2 chips is life-changing for someone who works on a Mac, and the price is right for the Mini.Īn M2 base Mac Mini is $599. Sys.Buying an intel Mac these days is a mistake, full stop. I had already run install.packages(“tensorflow”) install.packages(“keras”) not sure if required to do so in R.įinally, (in R) load the libraries, set environment to the location of the miniforge download, and specify python location library(tensorflow)
I’m not sure if the conda activate is required, but the Sys.setenv seemed like the key! conda activate Then, modify steps 5 and 8 to account for not having that environment set up.
Install a daily build of Rstudio for OSX from so it can handle the new version of R. Install one of the arm64 nightly builds at I may have done something wrong along the way all I know is that this part did not work for me. I had tried different iterations of using the environment created in this step. Then, use the info at Jarrett Byrnes’s blog to download an ARM-compatible version of R and RStudio Install tensorflow-metal plugin: python -m pip install tensorflow-metal Install base TensorFlow: python -m pip install tensorflow-macos Install the TensorFlow dependencies: conda install -c apple tensorflow-deps
Go through the process to review, then accept license then initialize: Do you wish the installer to initialize Miniforge3 Sh ~/Downloads/Miniforge3-MacOSX-arm64.sh In terminal, run: chmod +x ~/Downloads/Miniforge3-MacOSX-arm64.sh First, follow the directions here to get tensorflow set up:ĭownload and install Conda env.
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