Evaluation workloads emerge as a distinct compute bottleneck
A Hugging Face community analysis documented how repeated model and agent evaluations can consume substantial GPU time, API spend and engineering capacity as test suites expand.
Why it matters: Teams that budget only training and inference can underfund the repeated, versioned evaluation needed to catch regressions and compare systems honestly.