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Running AI at scale

Triton Inference Server

NVIDIA's server software for running trained AI models quickly for many users at once.

New this week

What it does

Once an AI model is trained, it needs to be "served", which means kept running so apps can send it requests and get answers. Triton is open-source software from NVIDIA that does this. It can run models built with many different tools, such as PyTorch, TensorRT and ONNX.

It is designed for speed: it can run several models at once and group incoming requests together. It works in the cloud, in data centres and on smaller edge devices, on NVIDIA graphics cards as well as regular processors.

Who it's for

Engineering teams that need to put AI models into production and serve them to many users.

Can I use it without coding?

Developers only. It is usually run with Docker on servers and needs technical setup. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Server, Cloud, Linux
Computer
Made for servers or data centres
Privacy
Runs on your own device: your data stays with you
API key
Not needed

Try it

Using Claude Code, Cursor or another AI coding assistant? Paste the prompt and it will walk you through the setup.New to this?

Before you install

  • Only download from the official GitHub page. Copies with similar names exist for many popular projects.
  • License (BSD-3-Clause): Permissive: free to use, change and share, including for business.
  • More on staying safe

Where people are talking about it