Continuous batching from first principles

The post derives continuous batching from first principles of attention and KV caching to maximize throughput for multi-user LLM serving. It explains how Q, K, V are computed and how their interaction yields quadratic complexity, then shows how continuous batching processes multiple conversations in parallel, swapping them as they complete. The goal is to make real-time AI chat more scalable under high load.

Source

HuggingFace Blog

Ingested

NOV 25, 2025 · 19:10

Editorial score

4.0 / 5