Setting Up NVIDIA Drivers and CUDA for ML/DL on Ubuntu 22.04

Let's face it, Windows is getting really stressful to work with as a developer in 2026. If you've tried to work with your GPU on TensorFlow for deep learning projects, you probably have discovered that you're either stuck with CPU-based compute, dated CUDA versions for older TensorFlow versions, or the hell that is setting up WSL2. Why not just switch to a Linux native environment like Ubuntu? Yeah, that's easily the safe and sane choice in 2026. Moreover, most of your production workloads will be on Linux servers, so might as well make the jump on your local setup too. I've struggled in time past to configure all the moving parts. This is because the information is scattered across and and people really do be saying random things on the internet. It can easily take hours to figure it out. And before you run off to ChatGeePeeDee to show you all the steps, I need you to understand that LLMs hallucinate and Linux will allow you run ANY command, including "removing the French language pac