benchmarking

One division tells you whether a headline number is physics or marketing. The answer runs it, then works out which unstated condition would make the claim true and what to ask the vendor for.

Review a shape-by-shape timing fixture, catch a ragged-cache correctness failure, and calculate whether selective dispatch pays for itself. Includes a small reference you can run without a GPU.

A kernel time is a distribution measured under conditions, and a reviewer will ask about both. The answer builds the timing loop, says what each line defends against, and adds the one sanity check that catches most bad numbers.

Compute acceptance from counter snapshots, reject reset-contaminated windows, and handle EOS before inferring request-step counts. Then decide what a matched-load baseline must measure.

A cheaper GPU and a faster decoder do not automatically produce a cheaper service. Audit a cost ledger, reject misleading wins, and choose a rollout only after quality and latency gates pass.

Both numbers can be true at once. The answer shows how to turn the gap into a short list of measurable dilutions, which one usually eats most of the 2x, and the replay test that settles it.

An event can contain metadata, one token or several tokens. Audit a buffered stream without inventing token timestamps, and separate client launch delay from the engine's execution time.