Why Traditional Cloud Infrastructure Breaks AI Workloads in Production

An autoscaling policy can be wrong for months without a single error firing. It isn’t built to fail loudly; it’s built to keep response times steady, and it’ll keep doing exactly that even while making the worst possible call for a GPU-bound job. The mismatch hides in plain sight because nothing looks broken.