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NVIDIA Triton Inference Server Organization

NVIDIA Triton Inference Server provides a cloud and edge inferencing solution optimized for both CPUs and GPUs.

This top level GitHub organization host repositories for officially supported backends, including TensorRT, TensorFlow, PyTorch, Python, ONNX Runtime, and OpenVino. The organization also hosts several popular Triton tools, including:

  • Model Analyzer: A tool to analyze the runtime performance of a model and provide an optimized model configuration for Triton Inference Server.

  • Model Navigator: a tool that provides the ability to automate the process of moving a model from source to optimal format and configuration for deployment on Triton Inference Server.

Getting Started

To learn about NVIDIA Triton Inference Server, refer to the Triton developer page and read our Quickstart Guide. Official Triton Docker containers are available from NVIDIA NGC.

Product Documentation

User documentation on Triton features, APIs, and architecture is located in the server documents on GitHub. A table of contents for the user documentation is located in the server README file.

Release Notes, Support Matrix, and Licenses information are available in the NVIDIA Triton Inference Server Documentation.

Examples

Specific end-to-end examples for popular models, such as ResNet, BERT, and DLRM are located in the NVIDIA Deep Learning Examples page on GitHub. Additional generic examples can be found in the server documents.

FAQ

For technical questions about Triton Inference Server, please consult the Triton FAQ Guide. Information about future support & updates for Triton can be found in the Dynamo FAQ Guide.

Feedback

Share feedback or ask questions about NVIDIA Triton Inference Server by filing a GitHub issue.

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  1. server Public

    The Triton Inference Server provides an optimized cloud and edge inferencing solution.

    Python 9.3k 1.6k

  2. core Public

    The core library and APIs implementing the Triton Inference Server.

    C++ 135 109

  3. backend Public

    Common source, scripts and utilities for creating Triton backends.

    C++ 326 96

  4. client Public

    Triton Python, C++ and Java client libraries, and GRPC-generated client examples for go, java and scala.

    Python 626 239

  5. model_analyzer Public

    Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.

    Python 477 77

  6. model_navigator Public

    Triton Model Navigator is an inference toolkit designed for optimizing and deploying Deep Learning models with a focus on NVIDIA GPUs.

    Python 203 25

Repositories

Showing 10 of 36 repositories
  • tensorrtllm_backend Public

    The Triton TensorRT-LLM Backend

    Shell 847 Apache-2.0 123 310 (1 issue needs help) 23 Updated Jun 13, 2025
  • server Public

    The Triton Inference Server provides an optimized cloud and edge inferencing solution.

    Python 9,338 BSD-3-Clause 1,596 713 (3 issues need help) 72 Updated Jun 13, 2025
  • pytorch_backend Public

    The Triton backend for the PyTorch TorchScript models.

    C++ 150 BSD-3-Clause 53 0 5 Updated Jun 12, 2025
  • onnxruntime_backend Public

    The Triton backend for the ONNX Runtime.

    C++ 151 BSD-3-Clause 64 73 2 Updated Jun 12, 2025
  • perf_analyzer Public
    Python 77 BSD-3-Clause 18 12 9 Updated Jun 11, 2025
  • vllm_backend Public
    Python 264 BSD-3-Clause 28 0 9 Updated Jun 11, 2025
  • tutorials Public

    This repository contains tutorials and examples for Triton Inference Server

    Python 722 BSD-3-Clause 120 8 14 Updated Jun 10, 2025
  • triton_cli Public

    Triton CLI is an open source command line interface that enables users to create, deploy, and profile models served by the Triton Inference Server.

    Python 62 5 2 3 Updated Jun 10, 2025
  • third_party Public

    Third-party source packages that are modified for use in Triton.

    C 7 BSD-3-Clause 59 0 4 Updated Jun 10, 2025
  • tensorrt_backend Public

    The Triton backend for TensorRT.

    C++ 75 BSD-3-Clause 32 0 1 Updated Jun 11, 2025