Design an inference batching service
Work through an interview question about serving AI requests while balancing latency, fairness, and GPU capacity.
Sat, Nov 1412:00 PM – 1:05 PM PST65 minutesLive online
Daniyal SaqibYour host · InterviewLayer
What we’ll work through
- Clarify the workload and turn the prompt into a first design.
- Explain batching, request scheduling, and the latency trade-offs.
- Handle overload and present your decisions clearly in an interview.
Who this is for
Engineers preparing for system design and AI infrastructure interviews. Familiarity with APIs, queues, and basic system design is useful; machine learning experience is not required.
One question. A 65-minute walkthrough.
- 10 min
- Clarify the questionSet the workload, constraints, and success criteria.
- 40 min
- Build the design togetherTrace a request, explore batching, and test failure cases.
- 15 min
- Discuss follow-upsChallenge the decisions and work through your questions.
A few things to know
Is the workshop free?
Yes. The complete 65-minute workshop, including the live question walkthrough and Q&A, is free.
Do I need to prepare anything?
Bring your questions and something to sketch with. We’ll work through the interview question together.
How do I join the session?
Register your interest to share your email for joining instructions and workshop updates.
What if I can’t make it?
You can cancel from your registration confirmation. If you registered without an account, return using the same browser.