[anyfactor]

Step 0: Start with a device that "fully" supports docker.

This is the reason I gave up on learning docker properly. I had 3 devices at my disposal - M1 mac, a windows 10 pc and a rpi. The random errors I was getting made me quite frustrated. Keep a code diary and document your mistakes and solutions.

Also get a VPS. Never ever try a serverless solution when trying to properly learn docker. Also, do not try to do anything that involves GPU processing.

[navbaker]

Are you just recommending that they stay away from GPU processing while they learn or as a blanket suggestion? There are tons of images provided by Nvidia and framework/library authors that have the necessary drivers built in and make it trivial to run on a GPU.

[anyfactor]

Oh no, only while learning.

It all boil downs to that step 0, makes sure you have that "docker compatible" device. People are successfully running GPU processes using docker. However, docker is not "run everything, everywhere" as some people may think it is.

Really understanding the idea of containerization is fundamental. If someone tries to dabble in GPU processing in their first or second week of learning docker, they will be surprised how difficult troubleshooting docker is.

[navbaker]

100% with you on that. There’s some many unintuitive things about just getting a container running if you’re doing anything beyond the hello world example!