Skip to content
#

tensorrt-llm

Here are 57 public repositories matching this topic...

Deep Learning Deployment Framework: Supports tf/torch/trt/trtllm/vllm and other NN frameworks. Support dynamic batching, and streaming modes. It is dual-language compatible with Python and C++, offering scalability, extensibility, and high performance. It helps users quickly deploy models and provide services through HTTP/RPC interfaces.

  • Updated May 8, 2025
  • C++

Higher performance OpenAI LLM service than vLLM serve: A pure C++ high-performance OpenAI LLM service implemented with GPRS+TensorRT-LLM+Tokenizers.cpp, supporting chat and function call, AI agents, distributed multi-GPU inference, multimodal capabilities, and a Gradio chat interface.

  • Updated Dec 8, 2025
  • Python

An animated, click-through companion to IOP Systems' Inference Infrastructure blog series. Eleven modules take you from a single attention head all the way to a production serving stack — every concept rendered as a hands-on animation you can play, pause, and step through at your own pace.

  • Updated Jul 5, 2026
  • HTML

Improve this page

Add a description, image, and links to the tensorrt-llm topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the tensorrt-llm topic, visit your repo's landing page and select "manage topics."

Learn more