How would you explain batching to a product engineer?

Example Answer

The way I'd approach it in an interview is this: Batching is grouping nearby requests so the serving layer can use hardware more efficiently. It is mainly a throughput optimization, not a free lunch, because users often pay for it with extra waiting before work starts.

For a product engineer, the practical tradeoff is simple: batching can lower cost and improve overall capacity, but it can also worsen tail latency if the product waits too long for the batch to fill.

So the question is not whether batching is good. It is which workflows can tolerate the queueing behavior batching introduces.

What I always try to avoid is giving a process answer that sounds clean in theory but falls apart once the data, users, or production constraints get messy.

Common Poor Answer

A weak answer is saying batching just makes inference faster. It usually improves throughput efficiency, not necessarily individual request latency.