Llm-Serving

Diagram of a paged KV cache with request preemption

Building a Continuous Batching LLM Serving Engine with Paged KV Cache and Request Preemption

Learn how to design and implement a high‑throughput LLM serving backend that batches requests continuously, uses a paged KV cache for memory efficiency, and preempts low‑priority requests to maximize throughput.

Code editor showing a Python-based LLM serving engine implementation

Build a Pure-Python Continuous Batching LLM Serving Engine from Scratch

A hands-on guide to building a pure-Python continuous batching LLM serving engine with PagedAttention KV cache and dynamic batch scheduling — a portfolio project that signals deep systems engineering skill.

Diagram of a continuous batching scheduler with paged KV cache blocks being shared across active sequences.

Build a Continuous Batching LLM Scheduler From Scratch

Ship a working continuous batching scheduler with paged KV cache and dynamic request interleaving. Real Python, runnable locally, and a roadmap from toy to production-flavored.