C

cuda

🔧🔗https://github.com/vllm-project/vllm

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

🔧🔗https://github.com/sgl-project/sglang

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

LLM.c

LLM training in simple, raw C/CUDA LLMs in simple, pure C/CUDA with no need for 245MB of PyTorch or 107MB of cPython. Current focus is on pretraining, in particular reproducing the GPT-2 and GPT-3 miniseries, along with a parallel PyTorch ref

🔧🔗https://github.com/andrewkchan/yalm

Yet Another Language Model: LLM inference in C++/CUDA, no libraries except for I/O

https://github.com/janhq/nitro.git now: https://github.com/janhq/cortex.git Drop-in, local AI alternative to the OpenAI stack. Multi-engine (llama.cpp, TensorRT-LLM, ONNX). Powers 👋 Jan