Problems / LLM serving, easy

Image generation queue

An image generator takes 4 seconds per image on 40 slots. Users request 15 images a second.

Free to open. Runs in your browser, no sign-up.

Your goals

Success ≥ 99%, p99 ≤ 5 s.

The traffic

15 requests a second for 30 seconds: 100% request (reads).

The system

What each component does in this design, and what calls it. The simulator mimics each one from these settings.

ComponentIts job hereSettings
Load balancerLoad balancerTraffic enters here.Calls AI app.Layer 4 balancers route by IP and port; layer 7 balancers read HTTP and can route by path or header.–
AI appApp serviceLoad balancer forwards to it.Calls Image model.Little's law: throughput ≈ concurrency ÷ latency. 200 slots at 50 ms serve about 4,000 req/s.3 replicas × 500 slots · timeout 30 s
Image modelImage generation modelAI app calls it.Image generation takes seconds per image and runs on GPUs.40 slots

Hints

Try it first. Open one hint at a time if you get stuck.

Hint 1

40 slots ÷ 4 s = 10 images a second.

Hint 2

Work out demand: requests a second × seconds each = slots or streams needed. Compare it with what the red component can hold.

One way to solve it

Add image-model capacity.

More llm serving problems