Question 1

What is Model Serving?

Accepted Answer

Model serving deploys trained ML models as scalable, low-latency APIs. It involves optimizing inference, managing model versions, and ensuring reliability under production traffic.

Question 2

Why is Model Serving important in 2026?

Accepted Answer

Companies need serving expertise to move models from notebooks to production. As LLMs grow larger, efficient serving is critical for cost and latency.

Question 3

How do I learn Model Serving?

Accepted Answer

Start with top courses like Efficiently Serving LLMs and books like LLM Engineers Handbook. Practice with hands-on tutorials and build projects.

Model Serving

🎓 Courses

Efficiently Serving LLMs

Deploying Machine Learning Models

📖 Books

LLM Engineers Handbook

🛠️ Tutorials & Guides

vLLM Documentation

Triton Inference Server