LightLLM

Why we included this project

LightLLM is a genuinely useful choice when you need to serve large language models in production but want something lighter than the usual C++ stacks to extend. The framework is written in Python, so you can read and modify the scheduling and KV-cache logic directly rather than fighting a native codebase, while leaning on kernels from FasterTransformer and FlashAttention for the heavy compute. Its request scheduler and structured decoding work have been published at ASPLOS and ACL, and the maintainers report strong DeepSeek-R1 serving numbers on a single H200. Pieces of the design have been borrowed by vLLM, SGLang, and academic systems, which is a fair sign the architecture is worth studying before you pick a serving stack.