What is latency for a model API?
PICTURE THIS: RAG CHATBOT
Simple meaning
Latency is how long one request takes from arrival to response, often summarized as p50 or p99.
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:
- 1Latency is how long
one request takes from arrival to response, often summarized as p50 or p99.
- 2Users and downstream services
feel latency, not average batch size.
- 3You optimize it with
faster models, better hardware, caching, and less Python overhead.
- 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
Latency is how long one request takes from arrival to response, often summarized as p50 or p99. Users and downstream services feel latency, not average batch size.