llm-inference

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

Find secrets with Gitleaks 🔑

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）

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

Plano is an AI-native proxy server and data plane for agentic apps. Smart LLM routing, observability, agent orchestration, and guardrails so you stay focused on your agents core logic.

A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.

Gemma 4 26B-A4B inference in ~2 GB of RAM on any M-series MacBook

Quantization, kernels, runtime and inference engine for mobiles, wearables, smart home and robots.

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.

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

Lemonade helps users discover and run local AI apps by serving optimized LLMs right from their own GPUs and NPUs. Join our discord: https://discord.gg/5xXzkMu8Zk