2. Intel Environments on M1/M2

If you have an Macbook with the m1 or m2 chips, you might have found out some python libraries don’t work.

A work around, is via a conda environment with an intel architecture!

Example: Ambertools on m2 Macbook

• Create a new conda environment and activate the environment

CONDA_SUBDIR=osx-64 conda create -n ambertools23 python=3.10

• activate environment

conda activate ambertools

• Check the environment architecture with python

python -c "import platform;print(platform.machine()) "

• Change the architecture

conda env config vars set CONDA_SUBDIR=osx-64

• Follow the instructions onscreen!

  • Deactivate environment to set new configuration, then re-activate environment.

conda deactivate; conda activate ambertools

• install Ambertools!

conda install -c conda-forge ambertools