A CURATED READING LIST
A curated collection of books, papers, courses, and hands-on resources for learning distributed systems, drawn from a Hacker News discussion. Includes foundational papers, practical tutorials, and recommended deep dives.
Based on resources shared in the original source.
The curator is preparing this reading list. Check back soon.
KEEP EXPLORING
If your goal is to start learning AI/LLM inference engineering rather than general ML, check this out. They build a useful progression: how generation works → why inference is slow → memory/KV cache → serving → production optimization.