DVC is great for medium-scale projects in small teams, but that's where I'd stop with it. It only really makes sense for work that you're doing on your own machine, or an old-school Linux server type of setup, not something you'd use for modern-day ML work in a cloud environment.

Also I always thought the idea of using Git branches to track experiments was a bad idea. I would never want to only have one experiment "active" at a time. Even if I'm only running one process at a time, I still want to be able to look at outputs and such all side-by-side. Maybe there's some magic tooling they created that makes it workable.