llm-serving

A high-throughput and memory-efficient inference and serving engine for LLMs

本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

SGLang is a fast serving framework for large language models and vision language models.

Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

AICI: Prompts as (Wasm) Programs

MoBA: Mixture of Block Attention for Long-Context LLMs

RayLLM - LLMs on Ray (Archived). Read README for more info.