Accelerated Data Science 2.8.3 is released

The following changes were made in ADS 2.8.3:

  • Added support for custom containers (Bring Your Own Container or BYOC), and environment variables for GenericModel.

  • Added default values for configuring parameters in ModelDeployment, such as the default flex shape, OCPUs, memory in gbs, bandwidth, and instance count.

  • Added support for NotebookRuntime to use directory as job artifact.

  • Added support for PythonRuntime and GitPythonRuntime to use shell script as entrypoint.

For more information, see Data Science and take a look at our Data Science blog.