Another one bites the dust

AMD has always been the budget brand. Cheaper isn’t always better 😏😏

Running local models on AMD hardware is great—when PyTorch actually sees the GPU. I wasted days trying to figure out why torch.cuda.is_available() kept returning False.

I wrote a detailed guide covering:

· ROCm install

· PyTorch ROCm wheel

· Environment variables

· Verification steps

· Common errors

If you’re on RDNA2 or RDNA3 and stuck, this should save you time:

https://interconnectd.com/blog/305/fix-pytorch-cuda-not-available-on-amd-gpus-complete-rocm-setup-guide/

What’s your setup, and what’s the exact error?

What an absolute shitshow! Just look at the threads on that subreddit. Crashes, black screens, BSOD and driver timeouts going back years with multiple posts every single day.

Seriously it’s pretty darn bad when Reddit has more reports of AMD cards crashing when they don’t even have majority of market share. It just goes to show that you can’t trust AMD to deliver a product and offer support.

https://www.reddit.com/r/AMDHelp/s/TUHgiXROYS

This person went all AMD... Apparently a big mistake.

This user, like many AMD owners, sits around for months miserable, troubleshooting instead of gaming. Tinkering instead of casting spells... it is an old story. So simple to just buy Intel and have a great gaming experience. I don't want to troubleshoot and RMA all the time.