Show HN: Tiny-vLLM – high performance LLM inference engine in C++ and CUDA

Summary: The article introduces Tiny-vLLM, a high-performance LLM inference engine developed in C++ and CUDA. The engine is designed to provide efficient and scalable inference for large language models, making it suitable for various applications such as natural language processing and machine learning. The article highlights the key features and benefits of Tiny-vLLM, including its ability to handle large models and its compatibility with various hardware platforms.