vllm

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

✍🏻 Source Code Deep Dives, System Design & Engineering Blogs | Halfrost-Field 冰霜之地：源码解析、系统设计与工程实践笔记

Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepower. Maintained by Orchestra Research.

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

A Datacenter Scale Distributed Inference Serving Framework

Mooncake is the serving platform for Kimi, a leading LLM service provided by Moonshot AI.

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

A programmable Mixture-of-Models router for heterogeneous LLM inference

A Low-Code MCP Framework for Building Complex and Innovative RAG Pipelines

A GPU cluster manager for high-performance AI model serving (vLLM, SGLang) and on-demand SSH-accessible GPU instances.

Reliable model swapping for any local OpenAI/Anthropic compatible server - llama.cpp, vllm, etc

📚A curated list of Awesome LLM/VLM Inference Papers with Codes: Flash-Attention, Paged-Attention, WINT8/4, Parallelism, etc.🎉

Structured data extraction, instruction calling and agentic workflows with ML, LLM and Vision LLM

learn LLM inference system on Apple Silicon for systems engineers: build a tiny vLLM + Qwen

Cascading runtime for AI agents. Optimize cost, latency, quality, and policy decisions inside the agent loop.

High-performance Inference and Deployment Toolkit for LLMs and VLMs based on PaddlePaddle

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of containers.