Technical interview guide
Model Serving & Inference Infrastructure
The infrastructure choices behind getting predictions out of a trained model at production latency and scale.
- Read
- 45 min
- Practice MCQs
- 25
- Interview QA
- 25
- Edition
- v6
- Editorial status
- Reviewed
- Relevant for
- AI EngineerMLOps Engineer
Scope: NVIDIA Triton, KServe, Kubernetes autoscaling, Amazon SageMaker inference, and NIST AI RMF guidance current 2026-09-04.
Curated: · Written: · Reviewed:
