1. Linux x64.

  2. NVIDIA Driver supporting CUDA 10.0 or later (i.e., 410.48 or later driver releases).

  3. (Optional) One or more of the following deep learning frameworks:

DALI in NGC Containers

DALI is preinstalled in the TensorFlow, PyTorch, and MXNet containers in versions 18.07 and later on NVIDIA GPU Cloud.

pip - Official Releases


Execute the following command to install the latest DALI for specified CUDA version (please check support matrix to see if your platform is supported):

  • for CUDA 10.2:

pip install --extra-index-url --upgrade nvidia-dali-cuda102
  • for CUDA 11.0:

pip install --extra-index-url --upgrade nvidia-dali-cuda110


CUDA 11.0 build uses CUDA toolkit enhanced compatibility. It is built with the latest CUDA 11.x toolkit while it can run on the latest, stable CUDA 11.0 capable drivers (450.80 or later). Using the latest driver may enable additional functionality. More details can be found in enhanced CUDA compatibility guide.


Please always use the latest version of pip available (at least >= 19.3) and update when possible by issuing pip install –upgrade pip


DALI doesn’t contain prebuilt versions of the DALI TensorFlow plugin. It needs to be installed as a separate package which will be built against the currently installed version of TensorFlow:

  • for CUDA 10.2:

pip install --extra-index-url --upgrade nvidia-dali-tf-plugin-cuda102
  • for CUDA 11.0:

pip install --extra-index-url --upgrade nvidia-dali-tf-plugin-cuda110

Installing this package will install nvidia-dali-cudaXXX and its dependencies, if they are not already installed. The package tensorflow-gpu must be installed before attempting to install nvidia-dali-tf-plugin-cudaXXX.


The packages nvidia-dali-tf-plugin-cudaXXX and nvidia-dali-cudaXXX should be in exactly the same version. Therefore, installing the latest nvidia-dali-tf-plugin-cudaXXX, will replace any older nvidia-dali-cudaXXX version already installed. To work with older versions of DALI, provide the version explicitly to the pip install command.

pip - Nightly and Weekly Releases


While binaries available to download from nightly and weekly builds include most recent changes available in the GitHub some functionalities may not work or provide inferior performance comparing to the official releases. Those builds are meant for the early adopters seeking for the most recent version available and being ready to boldly go where no man has gone before.


It is recommended to uninstall regular DALI and TensorFlow plugin before installing nightly or weekly builds as they are installed in the same path

Nightly Builds

To access most recent nightly builds please use flowing release channel:

  • for CUDA 10.2:

pip install --extra-index-url --upgrade nvidia-dali-nightly-cuda102
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin-nightly-cuda102
  • for CUDA 11.0:

pip install --extra-index-url --upgrade nvidia-dali-nightly-cuda110
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin-nightly-cuda110

Weekly Builds

Also, there is a weekly release channel with more thorough testing. To access most recent weekly builds please use the following release channel (available only for CUDA 11):

pip install --extra-index-url --upgrade nvidia-dali-weekly-cuda110
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin-weekly-cuda110

pip - Legacy Releases

For older versions of DALI (0.22 and lower), use the package nvidia-dali. The CUDA version can be selected by changing the pip index:

pip install --extra-index-url --upgrade nvidia-dali
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin
pip install --extra-index-url --upgrade nvidia-dali
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin
pip install --extra-index-url --upgrade nvidia-dali
pip install --extra-index-url --upgrade nvidia-dali-tf-plugin

CUDA 9 build is provided up to DALI 0.22.0.

CUDA 10 build is provided up to DALI 1.3.0.

CUDA 10.2 build is provided starting from DALI 1.4.0.

CUDA 11 build is provided starting from DALI 0.22.0.

Open Cognitive Environment (Open-CE)

DALI is also available as a part of the Open Cognitive Environment - a project that contains everything that is needed to build conda packages for a collection of machine learning and deep learning frameworks.

This effort is community-driven and the DALI version available there may not be up to date.

Prebuild packages (including DALI) are hosted by external organizations.