Most AI workflows still require choosing GPUs, regions, and providers upfront.

In practice, that leads to:

• overpaying for capacity

• jobs failing due to mismatch (OOM, CUDA issues)

• time wasted debugging infra instead of running workloads

At what point does this abstraction break?