Ever since Windows launching their subsystem for Linux (WSL), I really excited. It means that I no need to do dual boot, using emulator that takes more resource than pristine Linux itself, and many other hassle. You may say that I can just use Linux as a daily driver. But unfortunately I’m not much as a “programmer” myself. I do work with computational chemistry/biochemistry. However, being work in scientific field require me to use tools and software that mostly available in more popular OS such as Windows while not many provided for MacOS (good thing I’m not a fanboy). So at most of the time I’m literally put my one leg on Windows while the other need to stay still on Linux.
One of my requirement is to use GPU to train my machine learning. While I do have access to GPU server, I would like to test my code with small sample locally without any need to stay connected all the time. Granted! CUDA now can be used within WSL2. Here is how I set-up and some notes about it:
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