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NVIDIA Triton Inference Server

NVIDIA Triton™ Inference Server, part of the NVIDIA AI platform and available with NVIDIA AI Enterprise, is open-source software that standardizes AI model deployment and execution across every workload.

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Ways to Get Started With NVIDIA Triton Inference Server

Find the right license to deploy, run, and scale AI inference for any application on any platform.

Purchase NVIDIA AI Enterprise

Purchase NVIDIA AI Enterprise

Purchase NVIDIA AI Enterprise, which includes Triton Inference Server for production inference.

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AI Enterprise Evaluation License
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on NVIDIA LaunchPad
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Purchasing Triton
Access Code for Development

Access Code for Development

Triton Inference Server is available as open source software on GitHub with end-to-end examples.

Access Triton Inference Server’s
 Download Containers and Releases

Download Containers and Releases

Linux-based Triton Inference Server containers for x86 and Arm® are available on NVIDIA NGC™.
Client libraries as well as binary releases of Triton Inference Server for Windows and NVIDIA Jetson JetPack are available on GitHub.

Pull Triton Inference Server From NGC     Download for Windows or Jetson    

Introductory Resources

Quick-Start Guide

Learn the basics for getting started with Triton Inference Server, including how to create a model repository, launch Triton, and send an inference request.

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Introductory Blog

Read about how Triton Inference Server helps simplify AI inference in production, the tools that help with Triton deployments, and ecosystem integrations.

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Take a deeper dive into some of the concepts in Triton Inference Server, along with examples of deploying a variety of common models.

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Content Kits

Access technical content on inference topics such as large language models, cloud deployments, and model ensembles.

Large Language Models

Large language models (LLMs) are an increasingly important class of deep learning models, and they require unique features to maximize their acceleration. This kit will take you through features of Triton Inference Server built around LLMs and how to utilize them.

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Cloud Deployments

Triton Inference Server includes many features and tools to help deploy deep learning at scale and in the cloud. With this kit, you can explore how to deploy Triton inference Server in different cloud and orchestration environments.

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Model Ensembles

Modern deep learning systems often require the use of multiple models in a pipeline and the use of accelerated pre- and post processing steps. Learn how to implement these efficiently in Triton Inference Server with model ensembles and business logic scripting.

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Self-Paced Training

Learn anytime, anywhere, with just a computer and an internet connection through our Deploying a Model for Inference at Production Scale self-paced course.

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Ethical AI

NVIDIA’s platforms and application frameworks enable developers to build a wide array of AI applications. Consider potential algorithmic bias when choosing or creating the models being deployed. Work with the model’s developer to ensure that it meets the requirements for the relevant industry and use case; that the necessary instruction and documentation are provided to understand error rates, confidence intervals, and results; and that the model is being used under the conditions and in the manner intended.