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Running AI at scale

NVIDIA DALI

Speeds up AI training by loading and preparing images, video and audio on the graphics card.

New this week

What it does

Before training, data must be loaded, decoded, cropped and resized, and doing this on the main processor can slow everything down. DALI moves this work onto NVIDIA graphics cards.

It works with PyTorch, TensorFlow and PaddlePaddle.

Who it's for

Engineers training or running deep-learning models at speed.

Can I use it without coding?

Developers only. It is a Python library that needs an NVIDIA graphics card. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Computer
Works best on a powerful computer or one with a graphics card (GPU)
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 (Apache-2.0): Permissive: free to use, change and share, including for business.
  • More on staying safe

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