Notes on ‘AI Engineering’ chapter 9: Inference Optimisation
Read OriginalThis article provides detailed notes on inference optimization for AI systems, based on Chapter 9 of Chip Huyen's 'AI Engineering' book. It covers core concepts like compute-bound and memory bandwidth-bound bottlenecks, inference APIs (online vs. batch), key performance metrics (latency, throughput), and the critical business importance of reducing inference costs, which can constitute up to 90% of ML expenses.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
1
React vs Browser APIs (Mental Model)
Jivbcoop
•
3 votes
2
3
Building Type-Safe Compound Components
TkDodo Dominik Dorfmeister
•
2 votes
4
Using Browser Apis In React Practical Guide
Jivbcoop
•
1 votes
5
Better react-hook-form Smart Form Components
Maarten Hus
•
1 votes
6
Introducing RSC Explorer
Dan Abramov
•
1 votes
7
The Pulse: Cloudflare’s latest outage proves dangers of global configuration changes (again)
The Pragmatic Engineer Gergely Orosz
•
1 votes