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.

SGLang's TorchTPU Plugin

Device Metrics Exporter exports metrics from AMD devices (GPUs) to collectors like Prometheus.

Tile-Based Runtime for Ultra-Low-Latency LLM Inference

A Datacenter Scale Distributed Inference Serving Framework