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

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

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.

Parallax is a distributed model serving framework that lets you build your own AI cluster anywhere

Cross-platform FlashAttention-2 Triton implementation for Turing+ with custom configuration mode

🚀 Build and explore OpenAI's GPT-OSS model from scratch in Python, unlocking the mechanics of large language models.

A fast API booty-licious back-end for running GGUF models with Llama.cpp