Key Points to Note

Cloudera Data Science Workbench only supports CUDA-enabled NVIDIA GPU cards.

This topic assumes you have already installed or upgraded to the latest version of Cloudera Data Science Workbench.

  • Cloudera Data Science Workbench does not support heterogeneous GPU hardware in a single deployment.

  • Cloudera Data Science Workbench does not include an engine image that supports NVIDIA libraries. Create your own custom CUDA-capable engine image using the instructions described in this topic.

  • Cloudera Data Science Workbench does not install or configure the NVIDIA drivers on the Cloudera Data Science Workbench gateway hosts. These depend on your GPU hardware and will have to be installed by your system administrator. The steps provided in this topic are generic guidelines that will help you evaluate your setup.

  • The instructions described in this topic require Internet access. If you have an airgapped deployment, you will be required to manually download and load the resources onto your hosts.

  • For a list of known issues associated with this feature, refer Known Issues - GPU Support.