▲ 0 r/ResearchML
Are GPU workflows still too disconnected from normal development practices?
Why does GPU-based development still feel so disconnected from normal software development workflows? When I’m working on regular projects, everything is straightforward: write code, run it, debug, repeat. But with GPU workloads, it feels like there’s an extra layer of system management in between.
Even simple tasks like testing a model or running experiments require more planning and setup than I would expect in 2026.
Do you think this gap between “normal development” and “GPU development” will eventually disappear, or is it always going to be this way?
u/Plastic-Flounder-671 — 3 days ago