What is throughput in model serving?
PICTURE THIS: HOW TO EXPLAIN IT
Simple meaning
Throughput is how many predictions you complete per second, often QPS.
WHY — Latency and Throughput instead of guessing?
Why interviewers care about Latency and Throughput:
separate people who only read docs from people who shipped.
and tied to MLOps work.
Name the idea, why it exists, then one short example.
End with when you use it and one common pitfall.
STEPS — What happens step by step?
Before you speak the answer, walk the interviewer through these steps:
- 1Throughput is how many
predictions you complete per second, often QPS.
- 2High throughput can come
from batching, more replicas, or more efficient runtimes.
- 3A system can have
high throughput and still fail a latency SLO if tails are fat.
- 4Give an example
One tiny concrete case you can say aloud.
- 5Common mistake
What juniors usually get wrong.
- 6Close
When you pick this over the alternative.
EXAMPLE — See it in action
Here's a short line you can speak, broken into clear beats:
Note: Adapt this scaffold to your own project — keep it under 60–90 seconds.
Key takeaway
Throughput is how many predictions you complete per second, often QPS. High throughput can come from batching, more replicas, or more efficient runtimes.