What is the best setup to implement for Ai

first of all I'm a fresh machine learning eng(not working yet) and my laptop system running on 128gb ssd + usual 1tb hdd + gtx1050. I used to install python locally and its libraries (from numpy and pandas to tensorflow and pytorch) with vscode (instead of anaconda) and I was happy about that. whenever I do project and want to deploy it i used pepenv. I got problems in storage when it comes to docker or cuda or wsl recently I got an storage upgrade to 512gb ssd and looking for new ideas and approaches about my new instlations

What Should I do for each aspect use anaconda and make different environments (I feel this gonna drain storage specially I don't know what should each env contain)

Shoul I use docker for windows or install wsl and install docker through it.

Same for cuda should i install cuda native windows installation or intall it using wsl

**I don't try how to use programs in wsl for ex. I don't know how to use cuda on local development if it installed in wsl same as docker

**I know my gtx1050 won't be effecient when it comes to cuda and maybe more effective to use colab or kaggle gpu. but it's better practice i guess to develop on cuda.