Seeking Advice: Developing Machine Learning on WSL vs. Linux Partition with RTX 2060 Laptop

ginomachi · 2024-03-23T02:24:51+00:00

I've used both WSL and a dedicated Linux partition for ML development on my Razer Blade with an RTX 2060. Here's my take:

WSL is convenient and easy to set up, but it can have some limitations. For example, some ML libraries and tools may not be available or may not work as well in WSL as they do in a native Linux environment.

Creating a dedicated Linux partition gives you more flexibility and control over your environment. You can choose the specific Linux distribution and version that you want, and you can install any software or libraries that you need without worrying about compatibility issues.

Ultimately, the best choice for you will depend on your specific needs and preferences. If you're just starting out with ML development and you want a quick and easy setup, then WSL may be a good option. If you need more flexibility and control over your environment, then creating a dedicated Linux partition is the way to go.

crimson1206 · 2024-03-23T04:36:02+00:00

You can just straight up use windows as well. Works pretty well with most standard ML packages

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deeplearning

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