Back to List
Notice:This resource is provided by a third-party author. Please review the code with AI tools or manually before use to ensure security and compatibility.
PythonNVIDIA/TensorRT-LLM

TensorRT-LLM

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.

89.0/100
14.6KForks: 2.7K
View on GitHubHomepage →
Loading report...

Similar Projects

vllm

93

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

Python91.2K

sglang

91

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

Python35.6K

LMCache

89

LMCache: Supercharge Your LLM with the Fastest KV Cache Layer

Python11.7K

lorax

68

Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs

Python3.8K
Back to List