DAY 89 / 210
PagedAttention for Efficient LLM Inference
This first day of phase-3-inference introduces the memory bottlenecks that dominate production LLM serving. Understanding PagedAttention establishes the baseline patterns you will later optimize or replace in your own inference stack.
⏱ 35 min target📝 2 quiz Qs
Resources
- 25 minreadingarXivEfficient Memory Management for Large Language Model Serving with PagedAttention
abstract + sections 1-3
Deliverable
Journal entry (300+ words) comparing KV cache fragmentation in current app/maku stack versus PagedAttention
Quiz · 2 questions
1. What problem does PagedAttention primarily solve?
2. Name one production symptom that indicates KV cache fragmentation is hurting throughput.