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Data science tools

NVIDIA cuML

Speeds up common machine-learning tasks by running them on NVIDIA graphics cards.

Research-backedNew this week

What it does

cuML is a library from NVIDIA that runs classic machine-learning methods, such as clustering and classification, on NVIDIA graphics cards (GPUs).

It works like scikit-learn, a popular Python machine-learning library. It can also speed up existing scikit-learn code without changing it.

Its makers say it can be up to 50 times faster on some tasks, depending on the method, data and hardware.

Who it's for

Data scientists who use Python and have access to NVIDIA graphics cards.

Can I use it without coding?

Developers only. A Python library that needs an NVIDIA GPU. New to this? Start here.

Can I run it?

Cost
FreeNothing to pay or sign up for.
Runs on
Linux
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

Where people are talking about it