tensorrt-llm

Community

10-100x faster LLM inference on NVIDIA GPUs.

Authorovachiever
Version1.0.0
Installs0

System Documentation

What problem does it solve?

TensorRT-LLM optimizes inference for large language models on NVIDIA GPUs, delivering maximum throughput and minimal latency with quantization, in-flight batching, and multi-GPU scaling.

Core Features & Use Cases

  • FP8/INT4 quantization, in-flight batching, CUDA graphs
  • Tensor/pipeline/expert parallelism for scalable multi-GPU deployments
  • Production serving via trtllm-serve API

Quick Start

Install tensorrt_llm, instantiate an LLM with FP8 quantization, and run sample inferences; optionally deploy with trtllm-serve.

Dependency Matrix

Required Modules

tensorrt_llmtorch

Components

scriptsreferencestemplates

💻 Claude Code Installation

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Name: tensorrt-llm
Download link: https://github.com/ovachiever/droid-tings/archive/main.zip#tensorrt-llm

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