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Triton Inference Server

README.md

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.

Feedback

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

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  1. server server Public

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

    Python 8.1k 1.5k

  2. core core Public

    The core library and APIs implementing the Triton Inference Server.

    C++ 104 98

  3. backend backend Public

    Common source, scripts and utilities for creating Triton backends.

    C++ 284 84

  4. client client Public

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

    C++ 551 227

  5. model_analyzer 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 422 74

  6. model_navigator 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 179 25

Repositories

Showing 10 of 35 repositories
  • perf_analyzer Public
    triton-inference-server/perf_analyzer’s past year of commit activity
    C++ 12 BSD-3-Clause 3 5 8 Updated Oct 1, 2024
  • server Public

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

    triton-inference-server/server’s past year of commit activity
    Python 8,123 BSD-3-Clause 1,458 546 (1 issue needs help) 58 Updated Oct 1, 2024
  • pytorch_backend Public

    The Triton backend for the PyTorch TorchScript models.

    triton-inference-server/pytorch_backend’s past year of commit activity
    C++ 118 BSD-3-Clause 43 0 3 Updated Sep 30, 2024
  • vllm_backend Public
    triton-inference-server/vllm_backend’s past year of commit activity
    Python 175 BSD-3-Clause 18 0 4 Updated Sep 30, 2024
  • developer_tools Public
    triton-inference-server/developer_tools’s past year of commit activity
    C++ 16 10 0 4 Updated Sep 30, 2024
  • tensorrtllm_backend Public

    The Triton TensorRT-LLM Backend

    triton-inference-server/tensorrtllm_backend’s past year of commit activity
    Python 664 Apache-2.0 96 249 (1 issue needs help) 15 Updated Sep 30, 2024
  • core Public

    The core library and APIs implementing the Triton Inference Server.

    triton-inference-server/core’s past year of commit activity
    C++ 104 BSD-3-Clause 98 0 17 Updated Sep 28, 2024
  • 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.

    triton-inference-server/model_analyzer’s past year of commit activity
    Python 422 Apache-2.0 74 20 5 Updated Sep 27, 2024
  • tutorials Public

    This repository contains tutorials and examples for Triton Inference Server

    triton-inference-server/tutorials’s past year of commit activity
    Python 535 BSD-3-Clause 91 8 14 Updated Sep 26, 2024
  • onnxruntime_backend Public

    The Triton backend for the ONNX Runtime.

    triton-inference-server/onnxruntime_backend’s past year of commit activity
    C++ 123 BSD-3-Clause 54 70 4 Updated Sep 26, 2024
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