Awesome Opensource Ai

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

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

Official inference library for Mistral models

OpenVINO™ is an open source toolkit for optimizing and deploying AI inference

High-speed Large Language Model Serving for Local Deployment

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

LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

A Datacenter Scale Distributed Inference Serving Framework

FlashInfer: Kernel Library for LLM Serving

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

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.

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

Optimizing inference proxy for LLMs

Distributed LLM inference. Connect home devices into a powerful cluster to accelerate LLM inference. More devices means faster inference.

An open coding agent for your terminal, built by a community collective rather than a company. Bring your own model, keep your code on your machine, and owe nothing to anyone.

The Agentic Framework of the PHP ecosystem to build production-ready AI driven applications. Connect components (LLMs, Tools, vector DBs, memory) to agents that interact with your data and UI.

A high-performance inference engine for LLM, VLM, DiT and REC models, optimized for diverse AI accelerators.