Why do most cloud inference tools make you find out at runtime that something does not fit?

OneInfer Edge takes a different approach. Before deploying to a cloud GPU it computes the full memory requirement and checks it against the selected hardware. Cloud and local deployments in one interface, no context switching.

Curious what the community thinks about pre-deployment validation becoming a standard part of inference tooling.