#blackwell

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

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.

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

cuDNN Frontend is NVIDIA's modern, open-source entry point to the cuDNN library and a growing collection of high-performance open-source kernels.

TokenSpeed is a speed-of-light LLM inference engine.