Edge-native MoE serving engine designed for running 290B+ frontier models locally on consumer GPUs and CPUs

Get up and running with Kimi-K2.6, GLM-5.2, MiniMax, DeepSeek, gpt-oss, Qwen, Gemma and other models.

LLM inference in C/C++

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

LocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.

SGLang is a high-performance serving framework for large language models and multimodal models.

MLX: An array framework for Apple silicon

Distribute and run LLMs with a single file.

Universal LLM Deployment Engine with ML Compilation

Minimalist ML framework for Rust

TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.

Run GGUF models easily with a KoboldAI UI. One File. Zero Install.

Large Language Model Text Generation Inference

A fast inference library for running LLMs locally on modern consumer-class GPUs

The official API server for Exllama. OAI compatible, lightweight, and fast.